MA(BS)3(IIIc) /P.1 (03/2019) Completion Instructions Return of Capital Adequacy Ratio Part IIIc – Risk-weighted Amount for Credit Risk Internal Ratings-based Approach Form MA(BS)3(IIIc) Introduction

1. Form MA(BS)3(IIIc) (“IRB return”) of Part III should be completed by each authorized institution incorporated in Hong Kong (AI) using the internal ratings￾based approach (IRB approach) to calculate credit risk under Part 6 of the Banking (Capital) Rules.
2. These completion instructions contain the following four sections: Section A General Instructions Paragraphs I Scope of the IRB return 5-6 II Classification of exposures 7-8 III Choice of IRB calculation approaches 9 IV Structure of the IRB return 10-12 V Definitions and clarification 13-40 Section B Calculation of Risk-weighted Amount for Credit Risk under IRB Approach I Risk-weighted amount under IRB approach 41-45 II General requirements for all IRB classes 46-54 III Specific requirements for certain exposure portfolios 55-58 IV Corporate, sovereign and bank exposures 59-107 V Retail exposures 108-117 VI Equity exposures 118-134 VII Other exposures 135-136 VIII Purchased receivables 137-142 IX Leasing transactions 143-144 X Securities financing transactions 145-152 XI Credit-linked notes 153-154 XII Calculation of risk-weighted amount of off-balance sheet exposures 155-186 XIII Credit risk mitigation 187-233

MA(BS)3(IIIc) /P.2 (03/2019) XIV Application of scaling factor 234-235 Section C Treatment of Expected Losses and Eligible Provisions under IRB Approach I Determination of total EL amount 236-239 II Determination of total eligible provisions 240-243 III Treatment of total EL amount and total eligible provisions 244-246 Section D Specific Instructions Form IRB_TOTCRWA 247 Form IRB_CSB 248 Form IRB_SLSLOT 249 Form IRB_RETAIL 250 Form IRB_EQUSRW 251 Form IRB_EQUINT 252 Form IRB_EQUPDLGD 253 Form IRB_EQUO 254 Form IRB_OTHER 255 Form IRB_FIRBLGD 256-257 Form IRB_AIRBLGD 258-259 Form IRB_OBSND 260 Form IRB_OBSD_N_IMM 261 Form IRB_OBSD_IMM 262 Form IRB_ELEP 263 3. Section A gives the general instructions and definitions for the reporting of the IRB return. Section B provides the specific instructions for calculating the risk-weighted amount for each IRB class/subclass under the IRB approach. Section C explains the calculation of total EL amount and total eligible provisions and the capital treatment for the difference between these two items under the IRB approach. Section D explains the specific reporting instructions for each reporting form, with illustrative examples provided in Annex IIIc-A. 4. This return and its completion instructions should be read in conjunction with the Rules and the relevant supervisory policy/guidance on the revised capital adequacy framework.

MA(BS)3(IIIc) /P.3 (03/2019) Section A: General Instructions I. Scope of the IRB Return 5. An AI is required to report in this return its credit exposures subject to the IRB approach, including: (a) all of the AI’s on-balance sheet exposures and off-balance sheet exposures booked in its banking book, except for exposures that are required to be deducted from any of the AI’s Common Equity Tier 1 capital (CET1 capital), Additional Tier 1 capital and Tier 2 capital 1 , exposures to a central counterparty (CCP) 2 and securitization exposures 3 ; (b) all of the AI’s exposures to counterparties – (i) under over-the-counter derivative transactions (OTC derivative transactions), credit derivative contracts or securities financing transactions (SFTs) booked in an AI’s trading book; or (ii) in respect of assets that are –  posted by the AI as collateral for transactions or contracts booked in its trading book; and  held by the counterparties in a manner that is not bankruptcy remote from the counterparties, except for exposures that are subject to deduction from any of the AI’s CET1 capital, Additional Tier 1 capital and Tier 2 capital and exposures to a CCP. 6. Subject to the Monetary Authority’s (MA) prior consent, an AI using the IRB approach may simultaneously have a portion of its credit exposures subject to the basic approach (BSC approach) and/or the standardized (credit risk) approach (STC approach), which should be reported in Form MA(BS)3(IIIa) and/or Form MA(BS)3(IIIb) according to the respective reporting requirements. II. Classification of Exposures 7. In reporting this return, an AI should classify each of its credit exposures into one of the six IRB classes and then sub-classify each of these exposures into one of the

1 Exposures that are required to be deducted from an AI’s CET1 capital, Additional Tier 1 capital and/or Tier 2 capital should be reported in Form MA(BS)3(II). 2 Exposures to CCPs should be reported in Form MA(BS)3(IIIe). 3 Securitization exposures include re-securitization exposures unless stated otherwise. Securitization exposures in the banking book should be reported in Form MA(BS)3(IIId), while securitization exposures in the trading book should be reported in Form MA(BS)3(IV).

MA(BS)3(IIIc) /P.4 (03/2019) twenty six IRB subclasses as shown in the table below in accordance with the definitions given in paragraphs 13 to 33: IRB Class IRB Subclass

1. Corporate exposures (1) Specialized lending under supervisory slotting criteria approach (project finance) (2) Specialized lending under supervisory slotting criteria approach (object finance) (3) Specialized lending under supervisory slotting criteria approach (commodities finance) (4) Specialized lending under supervisory slotting criteria approach (income-producing real estate) (5) Specialized lending (high-volatility commercial real estate) (6) Small-and-medium sized corporates (7) Other corporates
2. Sovereign exposures (8) Sovereigns (9) Sovereign foreign public sector entities (10) Multilateral development banks
3. Bank exposures (11) Banks (12) Securities firms (13) Public sector entities (excluding sovereign foreign public sector entities)
4. Retail exposures (14) Residential mortgages to individuals (15) Residential mortgages to property-holding shell companies (16) Qualifying revolving retail exposures (17) Small business retail exposures (18) Other retail exposures to individuals
5. Equity exposures (19) Equity exposures under market-based approach (simple risk-weight method)

MA(BS)3(IIIc) /P.5 (03/2019) IRB Class IRB Subclass (20) Equity exposures under market-based approach (internal models method) (21) Equity exposures under PD/LGD approach (publicly traded equity exposures held for long-term investment) (22) Equity exposures under PD/LGD approach (privately owned equity exposures held for long-term investment) (23) Equity exposures under PD/LGD approach (other publicly traded equity exposures) (24) Equity exposures under PD/LGD approach (other equity exposures) 6. Other exposures (25) Cash items (26) Other items 8. Purchased receivables do not form an IRB class on their own and should be classified as corporate exposures or retail exposures, as the case requires. III. Choice of IRB Calculation Approaches 9. Under the IRB approach, an AI may use the following IRB calculation approaches for each of the six IRB classes, provided that the relevant criteria and qualifying conditions are met: IRB class Corporate Sovereign Bank Retail Equity Other Approaches available foundation IRB approach foundation IRB approach foundation IRB approach retail IRB approach market-based approach: simple risk￾weight method specific risk￾weight approach advanced IRB approach market-based approach: internal models method advanced IRB approach advanced IRB approach supervisory slotting criteria approach PD/LGD approach

MA(BS)3(IIIc) /P.6 (03/2019) IV. Structure of the IRB Return 10. The IRB return consists of the following six divisions: Division A: Summary of Risk-weighted Amount for Credit Risk under IRB Approach – showing the risk-weighted amount by IRB class/subclass and the effect of the scaling factor; a breakdown of the risk-weighted amount for selected types of exposures and the CVA risk-weighted amount4 for CVA risk is also shown; Division B: Risk-weighted Amount by IRB Class/Subclass – providing information on the credit risk components and risk-weighted amount of individual IRB subclasses or, where applicable, individual portfolio types; Division C: LGD for Corporate, Sovereign and Bank Exposures – providing supplementary information on LGD of individual IRB subclasses or, where applicable, individual portfolio types for corporate, sovereign and bank exposures under the foundation IRB approach or the advanced IRB approach; Division D: Off-Balance Sheet Exposures (Other than OTC Derivative Transactions, Credit Derivative Contracts and SFTs) under IRB Approach – providing supplementary information to Division B by giving a breakdown of off￾balance sheet exposures (other than OTC derivative transactions, credit derivative contracts and SFTs) for corporate, sovereign, bank and retail exposures; Division E: Off-Balance Sheet Exposures (OTC Derivative Transactions, Credit Derivative Contracts and SFTs) under IRB Approach – providing supplementary information to Division B by giving a breakdown of OTC derivative transactions, credit derivative contracts and SFTs for corporate, sovereign, bank and retail exposures; and Division F: EL-EP Calculation under IRB Approach – providing a breakdown of the respective EL amount and eligible provisions for corporate, sovereign, bank and retail exposures and calculating the difference between the two, if any, for the computation of the capital base. 11. There are multiple forms in Divisions B, C and E of this return for the reporting of different IRB subclasses of exposures or exposures subject to different calculation methods. A list showing the reporting forms under various divisions is given at Annex IIIc-B. For Divisions A, D and F, an AI is required to report the positions of all relevant IRB classes/subclasses in one single form. For Divisions B and C, the position of each IRB subclass (or, where applicable, each portfolio type) should be reported separately in the form applicable to that IRB subclass (or that portfolio type). For Division E, the positions should be reported separately according to the methods the AI adopts for the calculation of default risk exposures in respect of OTC

4 The term “CVA” in “CVA risk-weighted amount” refers to “credit valuation adjustment” – see definition in section 2(1) of the Rules. The CVA risk-weighted amount is the aggregate of such amounts reported in Form MA(BS)3(IIIf).

MA(BS)3(IIIc) /P.7 (03/2019) derivative transactions, credit derivative contracts and SFTs. 12. Where an AI uses more than one internal rating system for an IRB class/subclass5 , the AI should split the exposures into portfolios according to the internal rating systems used and report each portfolio in one form under Division B (and, where applicable, Division C). In addition, the AI should provide a brief description of the nature of the portfolio under the item “portfolio type” of each separate form. An AI should consult with the HKMA on the appropriate reporting treatment if it has difficulties to report its exposures by portfolio in the above manner. V. Definitions and Clarification (A) Definition of IRB Classes and Subclasses Corporate Exposures 13. An AI should classify each of its exposures to corporates, including purchased corporate receivables, into one of the following IRB subclasses: (i) specialized lending (SL) under supervisory slotting criteria approach (project finance) (see paragraphs 14 to 16); (ii) SL under supervisory slotting criteria approach (object finance) (see paragraphs 14 to 16); (iii) SL under supervisory slotting criteria approach (commodities finance) (see paragraphs 14 to 16); (iv) SL under supervisory slotting criteria approach (income-producing real estate) (see paragraphs 14 to 16); (v) Specialized lending (high-volatility commercial real estate) (see paragraphs 14 to 16); (vi) small-and-medium sized corporates (SME corporates) (see paragraph 17); and (vii) other corporates (see paragraph 18). (a) SL 14. SL is a corporate exposure that possesses, unless specified otherwise, all of the following characteristics, either in legal form or economic substance:

5 For example, an AI may have more than one internal rating system for its qualifying revolving retail exposures, such as having separate scorecards for credit card lending and personal revolving loans.

MA(BS)3(IIIc) /P.8 (03/2019) (i) the exposure is usually to a corporate (often a special purpose vehicle (SPV)) which has been created specifically to own and/or operate a specific asset (in other words, it has little or no other material assets or activities); (ii) the terms of the exposure give the AI (i.e. the lender) a substantial degree of control over the specific asset and the income which the specific asset generates; and (iii) the primary source of repayment of the exposure is the income generated by the specific asset (i.e. rather than other sources of income generated by the corporate). 15. There are five types of SL:- (i) Project finance (PF): PF refers to a method of funding in which an AI looks primarily to the revenue generated by a single project, both as the source of repayment of, and as collateral for, the exposure. PF is usually for large, complex and expensive installations that may include, for example, power plants, chemical processing plants, mines, transportation infrastructure, and telecommunications infrastructure. It may take the form of financing of the construction of a new capital installation, or refinancing of an existing installation, with or without improvements. The borrowing entity is usually an SPV established for the purpose of the project that is not permitted to perform any function other than developing, owning and operating the installation. The consequence is that repayment depends primarily on the project’s cash flows (such as electricity sold by a power plant) and on the collateral value of the project’s assets. In contrast, if repayment of the exposure depends primarily on a well established, diversified, credit-worthy and contractually obligated entity, the exposure should be treated as a collateralized exposure to that entity; (ii) Object finance (OF): OF refers to a method of funding the acquisition of physical assets (e.g. taxis, public light buses, ships, aircraft and satellites) where the repayment of the exposure is dependent on the cash flows generated by the assets that have been financed and pledged or assigned to an AI. A primary source of these cash flows may be rental or lease contracts with one or several third parties. In contrast, if the exposure is to a borrowing entity whose financial condition and debt-servicing capacity enables it to repay the debt without undue reliance on the specifically pledged assets, the exposure should be treated as a collateralized corporate exposure; (iii) Commodities finance (CF): CF refers to a structured short-term lending to finance reserves, inventories, or receivables of exchange-traded commodities (e.g. metals, energy or agricultural products), where the exposure will be repaid from the proceeds of the sale of the commodity and the borrowing entity has no other sources of income to repay the exposure. This is the case when the borrowing entity has no other activities and no other material assets on its balance sheet. The structured nature of the financing is designed to compensate for the weak credit quality of the borrowing entity. The rating of the exposure reflects its self-liquidating nature and the AI’s skill in structuring the transaction rather than the credit quality of the borrowing entity. Such lending can be

MA(BS)3(IIIc) /P.9 (03/2019) distinguished from exposures financing the reserves, inventories, or receivables of other more diversified borrowing entities where the AI is able to rate the credit quality of these latter entities based on their broader ongoing operations. In such cases, the value of the commodity serves as a risk mitigant rather than as the primary source of repayment; (iv) Income-producing real estate (IPRE): IPRE refers to a method of funding to finance real estate (such as office buildings, retail shops, residential buildings, industrial or warehouse premises, and hotels) where the prospects for repayment and recovery on the exposure depend primarily on the cash flows generated by the asset. The primary source of these cash flows would generally be lease or rental payments or the sale of the asset. The borrowing entity may be, but is not required to be, an SPV, an operating company focused on real estate construction or holdings, or an operating company with sources of revenue other than real estate. The distinguishing characteristic of IPRE versus other corporate exposures that are collateralized by real estate is the strong positive correlation between the prospects for repayment of the exposure and the prospects for recovery in the event of default, with both depending primarily on the cash flows generated by a property; and (v) High-volatility commercial real estate (HVCRE): HVCRE is the financing of commercial real estate that exhibits a higher loss rate volatility (i.e. higher asset correlation) compared to other types of SL. HVCRE exposures include:  Commercial real estate exposures secured by any commercial real estate of a type that is categorized and announced by the MA or a relevant banking supervisory authority outside Hong Kong as sharing a higher volatility in portfolio default rate;  Commercial real estate exposures financing any of the land acquisition, development and construction phases (ADC phases) of commercial real estate of a type referred to above; and  Exposures financing the ADC phases of any other commercial real estate where the source of repayment at origination of the exposure is either the future uncertain sale of the commercial real estate or cash flows whose source of repayment is substantially uncertain (e.g. the commercial real estate has not yet been leased to the occupancy rate prevailing in that geographic market for that type of commercial real estate), and the borrowing entity in respect of the exposure does not have substantial equity at risk in the commercial real estate. Specified ADC exposures as defined under section 158(6) of the Rules, however, are ineligible for the preferential treatment set out in section 158(3) of the Rules. Pursuant to section 143(4A) and (5)(ba) of the Rules, and unlike other types of SL, an AI’s corporate exposures that meet the descriptions of HVCRE exposures above must be categorized into the IRB subclass of specialized lending (high-volatility commercial real estate) and are precluded from falling within any other IRB subclasses of corporate exposures (such as the IRB subclass of specialized lending (income-producing real estate)).

MA(BS)3(IIIc) /P.10 (03/2019) 16. An AI that does not meet the requirements for PD estimation under the foundation IRB approach, or those for the estimation of PD, LGD and EAD and the calculation of M under the advanced IRB approach, for its SL should use the supervisory slotting criteria approach to derive the risk-weighted amount of such SL, by: (i) assigning the SL to internal grades based on its own rating criteria and map its internal grades to the five supervisory rating grades of “strong”, “good”, “satisfactory”, “weak” and “default” (see paragraph 75) by reference to the criteria specified in Annex 6 to the document entitled “International Convergence of Capital Measurement and Capital Standards – A Revised Framework (Comprehensive Version)” published by the Basel Committee on Banking Supervision in June 2006 or the credit quality grades specified in Schedule 8 of the Rules; and (ii) complying with applicable requirements set out in section 158(2) of the Rules. (b) SME corporates 17. In respect of an exposure to a corporate (other than HVCRE exposures) which has a reported total annual revenue (or a consolidated reported total annual revenue for the group of which the corporate is a part6 ) of less than HK$500 million, an AI may classify the exposure under the IRB subclass of SME corporates. In the case where total annual revenue is not a meaningful indicator of the scale of business of a corporate, the MA may, on an exceptional basis, allow an AI to substitute the total assets for total annual revenue in applying the above threshold for that corporate. To ensure that the information used is timely and accurate, the AI should obtain the total annual revenue figures from the corporate’s latest audited financial statements7 and have the figures updated at least annually. (c) Other corporates 18. An AI should classify all of its exposures to corporates which do not fall within any of the following IRB subclasses: (i) SL under supervisory slotting criteria approach (PF); (ii) SL under supervisory slotting criteria approach (OF); (iii) SL under supervisory slotting criteria approach (CF);

6 Where the corporate concerned is consolidated with other corporates by the AI for risk management purposes, the figure of the consolidated reported total annual revenue can be derived from the aggregate of the reported total annual revenue in the latest annual financial statements of the corporate concerned and the other corporates. 7 This does not apply to those customers that are not subject to statutory audit (such as a sole proprietorship). In such cases, an AI should obtain their latest available management accounts.

MA(BS)3(IIIc) /P.11 (03/2019) (iv) SL under supervisory slotting criteria approach (IPRE); (v) SL (high-volatility commercial real estate); (vi) SME corporates; (vii) residential mortgages (RM) to property-holding shell companies (see paragraph 25); and (viii) small business retail exposures (see paragraph 27), as exposures under the IRB subclass of other corporates. Sovereign Exposures 19. Sovereign exposures8 include exposures which fall within one of the following IRB subclasses: (i) sovereigns; (ii) sovereign foreign public sector entities (SFPSEs); and (iii) multilateral development banks (MDBs). Bank Exposures 20. Bank exposures include exposures which fall within one of the following IRB subclasses: (i) banks; (ii) securities firms; and (iii) public sector entities (PSEs) that are not SFPSEs. Retail Exposures 21. Exposures to individuals which, regardless of exposure size, are managed by an AI on a pooled or portfolio basis9 should be classified as retail exposures. Retail exposures to individuals usually include residential mortgage loans (RMLs), revolving credits (e.g. credit cards and overdrafts) and other personal loans (e.g. instalment loans, auto

8 Holdings of notes and coins should be reported as cash items under the IRB class of other exposures (see paragraph 33). 9 The MA does not intend to set the minimum number of retail exposures in a portfolio. An AI should establish its own policies to ensure the granularity and homogeneity of its retail exposures.

MA(BS)3(IIIc) /P.12 (03/2019) loans, tax loans, personal finance and other retail credits with similar characteristics). For those exposures which are not managed by an AI on a pooled or portfolio basis10 , an AI should treat them as corporate exposures. 22. Exposures to corporates may also be classified as retail exposures, provided that the criteria set out in paragraph 27 are met. 23. An AI should classify each of its retail exposures, including purchased retail receivables, into one of the following IRB subclasses: (i) RM to individuals (see paragraph 24); (ii) RM to property-holding shell companies (see paragraph 25); (iii) qualifying revolving retail exposures (QRRE) (see paragraph 26); (iv) small business retail exposures (see paragraph 27); and (v) other retail exposures to individuals (see paragraph 28). (a) RM to individuals 24. RM to individuals refers to RMLs (including first and subsequent liens, term loans and revolving home equity lines of credit) that are extended to individuals, regardless of exposure size, and that the property secured for the loan is used, or intended for use, as the residence of the borrower or as the residence of a tenant, or a licensee, of the borrower. (b) RM to property-holding shell companies 25. RM to property-holding shell companies refers to RMLs granted to property-holding shell companies on the condition that the credit risk of such loans is akin to those granted to individuals. This is considered to be the case where: (i) the property securing the RML is used, or intended for use, as the residence of one or more than one director or shareholder of the property-holding shell company or as the residence of a tenant, or a licensee, of the property-holding shell company; (ii) the RML granted to the property-holding shell company is fully and effectively covered by a personal guarantee entered into by one or more than one director or shareholder of the company (“the guarantors”);

10 This does not preclude retail exposures from being treated individually at some stages of the risk management process. The fact that an exposure is rated individually does not by itself preclude it from being eligible as a retail exposure.

MA(BS)3(IIIc) /P.13 (03/2019) (iii) the AI is satisfied that the above guarantors are able to discharge their financial obligations under the guarantees, having due regard to their overall indebtedness; and (iv) the RML granted to the property-holding shell company has been assessed by reference to substantially similar credit underwriting standards (e.g. the loan purpose, loan-to-value ratio and debt-service ratio) as would normally be applied by the AI to an individual. (c) QRRE 26. An AI should classify under the IRB subclass of QRRE a retail exposure that meets the following criteria: (i) the exposure is revolving, unsecured, and unconditionally cancellable (both contractually and in practice) by the AI; (ii) the exposure is to one or more than one individual and not explicitly for business purposes; (iii) the exposure is not more than HK$1 million; (iv) the exposure belongs to a pool of exposures which have exhibited, in comparison with other IRB subclasses of retail exposures, low loss rate volatility relative to the AI’s average level of loss rates for retail exposures, especially within the pools to which low estimates of PD are attributed11; (v) data on loss rates for the QRRE portfolio(s) are retained by the AI in order to allow analysis of the volatility of loss rates; and (vi) treatment of the exposure as QRRE is consistent with the underlying risk characteristics of the exposure. (d) Small business retail exposures 27. An AI may classify its exposures to a corporate under the IRB subclass of small business retail exposures, provided that: (i) the total exposure of the AI or, where applicable, of its consolidation group to the corporate (or, where applicable, to the consolidated group of which the corporate is a part) is less than HK$10 million12;

11 This is because the correlation value (R) of the QRRE risk-weight formula is markedly below that of the risk￾weight formula for other IRB subclasses of retail exposures, especially at low PD values. 12 Small business credits extended through, or guaranteed by, an individual are subject to the same exposure threshold.

MA(BS)3(IIIc) /P.14 (03/2019) (ii) the exposures are originated by the AI in a manner similar to retail exposures to individuals; and (iii) the exposures are managed by the AI on a pooled or portfolio basis in the same manner as retail exposures to individuals. In other words, they should not be managed individually in a way similar to corporate exposures, but rather as a portfolio segment or a pool of exposures with similar risk characteristics for the purposes of risk assessment and quantification. (e) Other retail exposures to individuals 28. Other retail exposures to individuals include all retail exposures to individuals (see paragraph 21) which do not fall within the IRB subclass of: (i) RM to individuals (see paragraph 24); or (ii) QRRE (see paragraph 26). Equity Exposures 29. An AI should consider the economic substance of an instrument in determining whether the instrument should be classified as an equity exposure. Equity exposures include both direct and indirect ownership interests (whether voting or non-voting) in a corporate13 where those interests are not consolidated or deducted for the purposes of calculating an AI’s capital base. These instruments include: (i) holdings of any share issued by a corporate; (ii) holdings of any equity contract; (iii) holdings in any collective investment scheme which is engaged principally in the business of investing in equity interests; (iv) holdings of any instrument which would be included in an AI’s CET1 capital or Additional Tier 1 capital if the instrument were issued by the AI; (v) holdings of any instrument:  which is irredeemable in the sense that the return of the invested funds can be achieved only by the sale of the instrument or the sale of the rights to the instrument or by the liquidation of the issuer;  which does not embody an obligation on the part of the issuer (subject to item (vi)); and  which conveys a residual claim on the assets or income of the issuer;

13 For the purposes of categorizing exposures into the IRB class of equity exposures, corporate means a company, or a partnership or any other unincorporated body, that is not a public sector entity.

MA(BS)3(IIIc) /P.15 (03/2019) (vi) holdings of any instrument which embodies an obligation on the part of the issuer and in respect of which:  the issuer may indefinitely defer the settlement of the obligation;  the obligation requires (or permits at the issuer’s discretion) settlement by the issuance of a fixed number of the issuer’s equity shares;  the obligation requires (or permits at the issuer’s discretion) settlement by the issuance of a variable number of the issuer’s equity shares and, other things being equal, any change in the value of the obligation is attributable to, comparable to, and in the same direction as, the change in the value of a fixed number of the issuer’s equity shares14; or  the AI, as the holder of the instrument, has the option to require that the obligation be settled in equity shares, unless the AI demonstrates to the satisfaction of the MA that: (a) in the case of a traded instrument, the instrument trades more like debt of the issuer than equity; or (b) in the case of a non-traded instrument, the instrument should be treated as a debt holding; (vii) holdings of any non-capital LAC liability of a financial sector entity15; (viii) holdings of any debt obligation, share, derivative contract, investment scheme or instrument, which is structured with the intent of conveying the economic substance of equity interests16; and (ix) any of the AI’s liabilities on which the return is linked to that of equity interests. 30. An AI should not classify as equity exposures any equity holding which is structured with the intent of conveying the economic substance of debt holdings or securitization exposures. The MA may, on a case-by-case basis, require an AI to re-classify a debt holding as an equity exposure if the MA considers that the nature and economic substance of the debt holding are more akin to an equity exposure than a debt holding. 31. An AI adopting the IRB approach is required to classify each of its equity exposures booked in the banking book under one of the following IRB subclasses based on the

14 For certain obligations that require or permit settlement by the issuance of a variable number of the issuer’s equity shares, the change in the monetary value of the obligation is equal to the change in the fair value of a fixed number of equity shares multiplied by a specified factor. Those obligations meet the conditions of this item if both the factor and the reference number of shares are fixed. For example, an issuer may be required to settle an obligation by issuing shares with a value equal to three times the appreciation in the fair value of 1,000 equity shares. That obligation is considered to be the same as an obligation that requires settlement by the issuance of shares equal to the appreciation in the fair value of 3,000 equity shares. 15 Reporting of holdings of non-capital LAC liabilities starts from the position as of end-June 2019. 16 Equity interests that are recorded by an AI as a loan, but which arise from a debt/equity swap made as part of the orderly realization or restructuring of a debt should be classified as equity exposures. However, these exposures may not be allocated a lower risk-weight than would apply if such holdings had remained in the AI’s debt portfolio.

MA(BS)3(IIIc) /P.16 (03/2019) method in use (i.e. the market-based approach or the PD/LGD approach) and, where applicable, the portfolio types: (i) equity exposures under market-based approach (simple risk-weight method); (ii) equity exposures under market-based approach (internal models method); (iii) equity exposures under PD/LGD approach (publicly traded equity exposures held for long-term investment); (iv) equity exposures under PD/LGD approach (privately owned equity exposures held for long-term investment); (v) equity exposures under PD/LGD approach (other publicly traded equity exposures); and (vi) equity exposures under PD/LGD approach (other equity exposures). 32. Equity exposures booked in the trading book are not subject to the IRB approach. Instead, these exposures should be subject to the market risk capital treatment and reported in Form MA(BS)3(IV). Other Exposures 33. An AI should classify under the IRB class of other exposures any of its exposures which do not fall within the IRB class of corporate, sovereign, bank, retail or equity exposures. These exposures include: (i) cash items, the types of exposures covered are set out in the table under paragraph 135; and (ii) other items, which are other exposures that do not fall within the IRB subclass of cash items, e.g. premises, plant and equipment and other fixed assets for own use (see paragraph 136). (B) Clarification 34. Figures of percentage or year should be rounded up to two decimal points. 35. An AI should report in the columns of “Exposures before recognized guarantees / credit derivative contracts” the EAD of its on-balance sheet exposures and off-balance sheet exposures before adjusting for the credit risk mitigating effects of any recognized guarantee and recognized credit derivative contract. For instance: (i) in respect of on-balance sheet exposures, the AI should report the EAD of such exposures both before and after adjusting for the credit risk mitigating effects of any recognized netting; (ii) in respect of off-balance sheet exposures (Other than OTC derivative

MA(BS)3(IIIc) /P.17 (03/2019) transactions, credit derivative contracts and SFTs), the AI should report the credit equivalent amount of such exposures; and (iii) in respect of off-balance sheet exposures (OTC derivative transactions, credit derivative contracts and SFTs), the AI should report the default risk exposures of such transactions after adjusting for the credit risk mitigating effects of any recognized netting. 36. An AI should report in the columns of “Exposures after recognized guarantees / credit derivative contracts” the EAD of its on-balance sheet exposures and off-balance sheet exposures after adjusting for the credit risk mitigating effects of any recognized netting, recognized guarantee and recognized credit derivative contract. 37. Principal amount, in respect of an off-balance sheet exposure, should be reported without deduction of specific provisions and partial write-offs. 38. Double counting of exposures arising from the same contract or transaction should be avoided. For example, only the undrawn portion of a corporate loan commitment should be reported as an off-balance sheet exposure in item 9 or 10 of Form IRB_OBSND and columns (7) and (10) of Form IRB_CSB while the actual amount drawn should be reported as an on-balance sheet exposure in columns (6) and (9) of Form IRB_CSB. Similarly, trade-related contingencies, e.g. trust receipts and shipping guarantees for which the exposures have already been reported as letters of credit issued or loans against import bills etc., should not be reported under item 3 of Form IRB_OBSND and columns (7) and (10) of Form IRB_CSB. 39. In certain cases, credit exposures arising from OTC derivative transactions may have already been fully or partially reflected on the balance sheet. For example, an AI may have already recorded the current exposures to counterparties (i.e. mark-to-market values) under foreign exchange and interest rate related contracts on the balance sheet, typically as either sundry debtors or sundry creditors. To avoid double counting, such exposures should be excluded from on-balance sheet exposures and reported under the OTC derivative transactions for the purposes of this return. 40. The accrued interest of a credit exposure should form part of the EAD of the credit exposure. An AI should therefore classify and risk-weight the accrued interest receivables in the same way as the principal amount of the respective credit exposures.

MA(BS)3(IIIc) /P.18 (03/2019) Section B: Calculation of Risk-weighted Amount for Credit Risk under IRB Approach I. Risk-weighted Amount under IRB Approach 41. The IRB approach to credit risk is based on measures of unexpected loss (UL) and expected loss (EL). The risk-weight functions in this section produce capital requirements for the UL portion. EL is treated separately as outlined in section C. 42. An AI should calculate the risk-weighted amount for the UL of its credit exposures (excluding exposures that are subject to deduction from the AI’s CET1 capital, Additional Tier 1 capital and Tier 2 capital, securitization exposures and exposures to CCPs) under the IRB approach as follows: (i) the AI should calculate the risk-weighted amount of each exposure (except equity exposures to which item (ii) applies and counterparty credit risk exposures to which item (iii) applies) by multiplying the EAD of each such exposure by the relevant risk-weight; (ii) in respect of an equity exposure which is subject to the internal models method and for which the relevant minimum risk-weight (see paragraph 122(ii)) does not apply, the AI should calculate the risk-weighted amount by multiplying the potential loss of the exposure calculated under the internal models method by 12.5; (iii) in respect of OTC derivative transactions, credit derivative contracts or SFTs, the AI must calculate the risk-weighted amount of the counterparty credit risk exposure - (a) if the AI has an IMM(CCR) approval17 and an approval to use the IMM approach18 to calculate the market risk capital charge for specific risk for interest rate exposures, by aggregating -  the IMM(CCR) risk-weighted amount of the transactions or contracts concerned that are covered by the IMM(CCR) approval;  the CEM risk-weighted amount19 or SFT risk-weighted amount20 of the transactions or contracts concerned that are (i) not covered by the IMM(CCR) approval; or (ii) covered by the IMM(CCR) approval but fall within section 10B(5) or (7) of the Rules; and

17 The term “IMM(CCR)” in “IMM(CCR) approval” refers to the internal models (counterparty credit risk) approach (IMM(CCR) approach) - see definitions in section 2(1) of the Rules. 18 The term “IMM approach” refers to the internal models approach for the calculation of market risk - see definition in section 2(1) of the Rules. 19 The term “CEM” in “CEM risk-weighted amount” refers to the current exposure method - see definition in section 2(1) of the Rules. 20 See the definition of “SFT risk-weighted amount” in section 139(1) of the Rules.

MA(BS)3(IIIc) /P.19 (03/2019)  the CVA risk-weighted amount determined using the advanced CVA method (and reported in Division A of Form MA(BS)3(IIIf)), the standardized CVA method (and reported in Division B of Form MA(BS)3(IIIf)), or a combination of those 2 methods that is permitted under the Rules, as the case requires; (b) if the AI has an IMM(CCR) approval but does not have an approval to use the IMM approach to calculate the market risk capital charge for specific risk for interest rate exposures, by aggregating -  the IMM(CCR) risk-weighted amount of the transactions or contracts concerned that are covered by the IMM(CCR) approval;  the CEM risk-weighted amount or SFT risk-weighted amount of the transactions or contracts concerned that are (i) not covered by the IMM(CCR) approval; or (ii) covered by the IMM(CCR) approval but fall within section 10B(5) or (7) of the Rules; and  the CVA risk-weighted amount determined using the standardized CVA method (and reported in Division B of Form MA(BS)3(IIIf)); and (c) if the AI does not have an IMM(CCR) approval for any of its transactions or contracts, by aggregating -  the CEM risk-weighted amount;  the SFT risk-weighted amount; and  the CVA risk-weighted amount determined using the standardized CVA method (and reported in Division B of Form MA(BS)3(IIIf)); and (iv) the AI should aggregate the risk-weighted amount figures derived from items (i), (ii) and (iii) (except the CVA risk-weighted amounts reported in Form MA(BS)3(IIIf)) and then apply a scaling factor (1.06) to the aggregate figure to arrive at the total risk-weighted amount for credit risk under the IRB approach. 43. For the purposes of paragraph 42(iii), an AI may, in the case of a default risk exposure in respect of long settlement transactions (LSTs), determine the exposure’s relevant risk-weight using the STC approach on a permanent basis. 44. An AI must regard the total amount of the CVA capital charge for its counterparties determined in accordance with Division 3 of Part 6A of the Rules as the basis for determining the CVA risk-weighted amount of the AI as required under paragraph 42(iii), regardless of whether any of those counterparties falls within Part 6 of the Rules. That means the CVA risk-weighted amounts reported in Form MA(BS)3(IIIf) should be aggregated and reported in item 9 of Division A of Form MA(BS)3(IIIc). 45. An AI may reduce the risk-weighted amount of an exposure by taking into account the effect of any recognized credit risk mitigation through adjusting the PD, LGD or

MA(BS)3(IIIc) /P.20 (03/2019) EAD, as the case may be, in accordance with Part XIII of this section. II. General Requirements for All IRB Classes (A) General Requirements 46. There are three key elements for calculation of risk-weighted amount for the UL portion under the IRB approach, including: (i) credit risk components – these are estimates of PD, LGD, EAD, EL and M made by an AI, or supervisory estimates specified in the Rules; (ii) risk-weight functions – these are the formulae by which credit risk components are transformed into risk-weighted amount and therefore capital requirements; and (iii) minimum requirements - the minimum standards which an AI should meet for the use of the IRB approach21 . 47. An AI should use the risk-weight functions provided in this section for the purpose of calculating the risk-weighted amount, unless otherwise specified. In applying such risk-weight functions, PD and LGD are measured as decimals, EAD is measured in HK$ and M is measured in years. 48. For the purposes of calculating the EAD of an exposure (whether held on- or off￾balance sheet) that is measured at fair value, an AI should comply with the prudent valuation and valuation adjustment requirements in section 4A of the Rules. (B) Corporate, Sovereign and Bank Exposures 49. Under the foundation IRB approach, an AI should provide its own estimates of PD associated with each of its obligor grades, but should use supervisory estimates for other credit risk components (i.e. LGD, EAD and M22). 50. Under the advanced IRB approach, an AI should provide its own estimates of PD, LGD and EAD and calculate M. 51. In respect of SL under supervisory slotting criteria approach (see paragraph 16), an AI should apply the supervisory estimate of a risk-weight that is applicable to a supervisory rating grade (see paragraph 75) in calculating the risk-weighted amount of such SL.

21 Please refer to Part 6 and Schedule 2 of the Rules and the relevant supervisory policy/guidance relating to the IRB approach. 22 The use of explicit maturity adjustments is not required under the foundation IRB approach. Subject to the MA’s prior consent, an AI having suitable systems for the calculation of M may be allowed to use explicit maturity adjustments under the foundation IRB approach.

MA(BS)3(IIIc) /P.21 (03/2019) (C) Retail Exposures 52. Under the retail IRB approach, an AI should provide its own estimates of PD, LGD and EAD associated with each pool of retail exposures. There is no distinction between a foundation approach and an advanced approach for retail exposures. (D) Equity Exposures 53. There are two approaches to calculating the risk-weighted amount of equity exposures held in the banking book: (i) the market-based approach and (ii) the PD/LGD approach23. Under the market-based approach, an AI may use the simple risk-weight method, the internal models method or a combination of both. However, for certain types of equity exposures that meet specified descriptions, a supervisory risk-weight applies to the relevant exposures irrespective of the calculation approaches the exposures are subject to (see paragraphs 119 and 120). (E) Other Exposures 54. Under the specific risk-weight approach, an AI should apply a specific risk-weight applicable to an exposure which falls within the IRB subclass of cash items (see paragraph 135) or the IRB subclass of other items (see paragraph 136) in calculating the risk-weighted amount of the exposure. III. Specific Requirements for Certain Exposure Portfolios (A) Purchased Receivables 55. Purchased receivables straddles corporate and retail IRB classes. For purchased corporate receivables, both the foundation IRB approach and the advanced IRB approach are available subject to the relevant minimum requirements being met. Like other retail exposures, there is no distinction between a foundation approach and an advanced approach for purchased retail receivables. For purchased receivables (whether corporate or retail), an AI is required to calculate the risk-weighted amount for default risk and, if material, dilution risk of such purchased receivables (see Part VIII of this section). (B) Leasing Transactions 56. There is a distinct treatment for calculating the risk-weighted amount of exposures arising from leases with residual value risk (see Part IX of this section). Leases without any residual value risk will be accorded the same treatment as exposures collateralized by the underlying leased assets.

23 The PD/LGD approach to equity exposures remains available for an AI adopting the advanced IRB approach for its corporate, sovereign and bank exposures.

MA(BS)3(IIIc) /P.22 (03/2019) (C) Securities Financing Transactions (SFTs) 57. The calculation of the risk-weighted amount for SFTs depends on the economic substance of the transaction and whether the transaction is booked in the banking book or the trading book (see Part X of this section). (D) Credit-linked Notes 58. The calculation of the risk-weighted amount for a credit-linked note depends on the risk-weight attributable to the reference obligation or basket of reference obligations of the note, the note issuer, and the AI’s maximum liability under the note (see Part XI of this section). IV. Corporate, Sovereign and Bank Exposures (A) Risk-weight Function for Derivation of Risk-weighted Amount 59. The calculation of the risk-weighted amount of a corporate, sovereign or bank exposure is dependent on the estimates of PD, LGD, EAD and, in some cases, M, of a given exposure. (a) Non-defaulted exposures 60. Subject to paragraph 77, for corporate, sovereign and bank exposures that are not in default (but excluding those treated as hedged exposures under the double default framework), the risk-weighted amount is calculated as follows 24, 25: Correlation (R) = 0.12 × (1 - EXP (-50 × PD)) / (1 - EXP (-50)) + 0.24 × [1 - (1 - EXP (-50 × PD)) / (1 - EXP (-50))] Maturity adjustment (b) = (0.11852 - 0.05478 × ln (PD))^2 Capital charge factor26 (K) = [LGD × N [(1 - R)^-0.5 × G (PD) + (R / (1 - R))^0.5 × G (0.999)] - PD x LGD]

24 EXP denotes exponential and ln denotes the natural logarithm. 25 N(x) denotes the cumulative distribution function for a standard normal random variable (i.e. the probability that a normal random variable with mean zero and variance of one is less than or equal to x). G(z) denotes the inverse cumulative distribution function for a standard normal random variable (i.e. the value of x such that N(x) = z). The normal cumulative distribution function and the inverse of the normal cumulative distribution function are, for example, available in Excel as the functions NORMSDIST and NORMSINV. 26 If this calculation results in a negative capital charge for any individual sovereign exposure, an AI should apply a zero capital charge for that exposure.

MA(BS)3(IIIc) /P.23 (03/2019) x (1 - 1.5 x b)^ -1 × (1 + (M - 2.5) × b) Risk-weight (RW) = K x 12.5 Risk-weighted amount = RW x EAD (Illustrative risk-weights are shown in Annex IIIc-C.) (b) Defaulted exposures 61. An AI should use the same risk-weight function set out in paragraph 60 to calculate the risk-weighted amount of its corporate, sovereign and bank exposures which are in default (i.e. a default of the obligor in respect of the exposure has occurred by virtue of section 149(1) or (5A) of the Rules), except that the capital charge factor (K) for a defaulted corporate, sovereign or bank exposure should be equal to the greater of: (i) zero; or (ii) the figure resulting from the subtraction of the AI’s best estimate of the EL27 from the LGD of the defaulted exposure. (c) Hedged exposures under double default framework 62. For any hedged exposure under the double default framework (see paragraphs 220 and 221), the risk-weighted amount is calculated as below: Correlation (os) = 0.12 × (1 - EXP (-50 × PDo)) / (1 - EXP (-50)) + 0.24 × [1 - (1 - EXP (-50 × PDo)) / (1 - EXP (-50))] Maturity adjustment (bos) = (0.11852 - 0.05478 × ln (PDos))^2 Capital charge factor (KDD) (0.15 160 PD ) 1 1.5 b 1 (M 2.5) b PD 1 G(PD ) G(0.999) LGD N g os o os o o s g                                        ρ ρ Risk-weight (RWDD) = KDD x 12.5 Risk-weighted amount = RWDD x EADg where: PDo = PD of the underlying obligor without taking into account the effect of credit protection (see paragraph 80)

27 With the prior consent of the MA, an AI which uses the foundation IRB approach may use the supervisory estimate for the LGD as the EL for its corporate, sovereign and bank exposures which are in default.

MA(BS)3(IIIc) /P.24 (03/2019) PDg = PD of the credit protection provider of the hedged exposure (see paragraph 80) PDos = The lower of PDo and PDg Mos = M of the credit protection (see paragraph 107) LGDg = LGD of a comparable direct exposure to the credit protection provider (see paragraphs 98 and 99) EADg = EAD of the hedged exposure 63. Defaulted exposures cannot be subject to the double default framework. In case the underlying obligor of a hedged exposure defaults, such exposure should be treated as a direct exposure to the credit protection provider and then risk-weighted accordingly. Conversely, if the credit protection provider of a hedged exposure defaults, such exposure should remain with the underlying obligor and should be risk-weighted as an unhedged exposure to the underlying obligor. In case both the underlying obligor and the credit protection provider of a hedged exposure default, such exposure should be treated as a defaulted exposure to either the underlying obligor or the credit protection provider, depending on which party defaulted last. (d) OTC derivative transactions and credit derivative contracts - Full maturity adjustment 64. Where an AI that uses the advanced CVA method to calculate its CVA capital charge demonstrates to the satisfaction of the MA that its VaR model used in the advanced CVA method adequately covers the effects of rating migrations, the institution may— (i) calculate the risk-weight applicable to a default risk exposure in respect of OTC derivative transactions or credit derivative contracts under paragraph 60 with the full maturity adjustment set equal to 1; and (ii) calculate the risk-weight applicable to a default risk exposure in respect of OTC derivative transactions or credit derivative contracts under paragraph 62 with the full maturity adjustment set equal to 1 but the credit protection provider must be one of the counterparties covered by the CVA capital charge calculation. 65. The term “full maturity adjustment” in paragraph 64(i) and (ii) means - (i) that amount calculated by the component (1 – 1.5  b)^ – 1  (1 + (M – 2.5)  b) in Formula 16 of the Rules (see paragraph 60); or (ii) that amount calculated by the component   os b M b      1 1.5 1 2.5 in Formula 17 of the Rules (see paragraph 62), as the case requires.

MA(BS)3(IIIc) /P.25 (03/2019) (e) SME corporates - Firm-size adjustment 66. An AI using the IRB approach is permitted to separately distinguish its corporate exposures as SME corporates as defined in paragraph 17. For these SME corporate exposures, a firm-size adjustment (i.e. 0.04 x (1 - (S-50) / 450)) must be applied to the relevant risk-weight function as set out in paragraph 60 or 62, as the case requires, for the calculation of the correlation value: (i) Exposures to SME corporates that are not subject to the double default framework Correlation (R) = 0.12 × (1 - EXP (-50 × PD)) / (1 - EXP (-50)) + 0.24 × [1 - (1 - EXP (-50 × PD)) / (1 - EXP (-50))] - 0.04 × (1 - (S - 50) / 450) (ii) Exposures to SME corporates that are subject to the double default framework Correlation (os) = 0.12 × (1 - EXP (-50 × PDo)) / (1 - EXP (-50)) + 0.24 × [1 - (1 - EXP (-50 × PDo)) / (1 - EXP (-50))] - 0.04 × (1 - (S - 50) / 450) where S is expressed as the total annual revenue of the SME corporate (or the consolidated total annual revenue of the group of which the SME corporate is a member28) in millions of HK$ with the value of S falling in the range from HK$50 million to HK$500 million. Total annual revenue of less than HK$50 million will be deemed as equivalent to HK$50 million for the purpose of the firm-size adjustment. In the case where total annual revenue does not accurately reflect a corporate’s scale of business, the MA may, on an exceptional basis, allow an AI to substitute the corporate’s total assets for the total annual revenue in calculating the firm-size adjustment for the SME corporate. (f) Exposures to certain financial institutions – Correlation adjustment by way of asset value correlation multiplier 67. For an AI’s corporate, sovereign or bank exposure to an obligor that is (i) a large regulated financial institution; or (ii) a financial institution that is not supervised by a financial regulator, the AI must multiply the correlation (R) or correlation (os) in the risk weight function set out in paragraph 60 or 62, as the case requires, by 1.25. 68. For the purposes of paragraph 67,  “financial institution” means an entity that- (a) is a financial sector entity; or

28 An AI should treat a SME corporate and other corporates which are consolidated by the AI for risk management purposes as a consolidated group.

MA(BS)3(IIIc) /P.26 (03/2019) (b) is engaged predominantly in any one or more of the following activities, whether by itself or through any of its subsidiaries— (i) lending; (ii) factoring; (iii) provision of credit enhancement; (iv) securitization; (v) proprietary trading; (vi) any other financial services activity specified in Part 11 of Schedule 1 of the Rules;  “financial regulator” means a regulatory authority that imposes supervisory standards (including supervisory standards relating to capital and liquidity) that are substantially consistent with international standards;  “large regulated financial institution” means a financial institution that is supervised by a financial regulator and that— (a) has total assets of not less than HK$780 billion as determined by reference to the institution’s most recent audited consolidated financial statements or (if the institution does not have any subsidiary) the institution’s most recent audited financial statements; or (b) is a member of a group of companies (comprised of the ultimate holding company 29 and all of its subsidiaries) that has total assets of not less than HK$780 billion as determined by reference to the group’s most recent audited consolidated financial statements. 69. To ensure that the information used for determining whether a financial institution is a large regulated financial institution is timely and accurate, the AI should obtain the total assets figures from the latest audited financial statements of the financial institution or its wider group, as the case requires, and have the figures updated at least annually. 70. For the avoidance of doubt, if an SME corporate that is subject to the firm-size adjustment mentioned in paragraph 66 is also a financial institution to which the asset value correlation multiplier requirements mentioned in paragraph 67 apply, an AI should apply the adjustments mentioned in both paragraphs to the correlation (R) or correlation (os) in the risk-weight function set out in paragraph 60 or 62, as the case requires.

29 There could be many forms and levels of consolidation in respect of a group of companies. To avoid any arbitrary specification, the HKMA intends to leverage on the consolidation requirements prescribed by generally acceptable accounting standards applicable to the financial groups. For the purposes of determining the total assets of the wider group of a financial institution under the definition of “large regulated financial institution”, the top-most holding company included in the highest level of audited consolidated financial statements of a financial group (which comprises an ultimate holding company and all of its subsidiaries) should be regarded as the “ultimate holding company”.

MA(BS)3(IIIc) /P.27 (03/2019) (g) SL 71. The capital treatments set out in this subsection apply to all types of SL (see paragraph 15) unless otherwise specified. 72. An AI that meets the requirements for PD estimation under the IRB approach for its SL should use the foundation IRB approach (or the advanced IRB approach, where the AI can also provide the estimates of other credit risk components) to calculate the risk-weighted amount for such SL, based on the relevant risk-weight functions set out in paragraphs 59 to 70. 73. The use of the foundation IRB approach or the advanced IRB approach by an AI in respect of its HVCRE exposures is subject to the additional requirements set out in section 158(1A), (1B) and (1C) of the Rules, as highlighted below:- (i) The value of the asset correlation factor of 0.24 in the correlation (R or ρos) in the risk-weight functions mentioned in paragraphs 60 and 62 must be replaced by a value of 0.30, and this must remain the case both before and after any adjustment is made to R or ρos pursuant to section 157(5) or 157A of the Rules (see paragraphs 67 and 74). (ii) If an AI has material IPRE exposures (i.e. the average aggregate EAD of its reference exposures30 over the past 12 months exceeds 5% of its capital base as determined under Part 3 of the Rules), it must not use the advanced IRB approach in respect of its HVCRE exposures unless the AI also uses the advanced IRB approach to derive the risk-weighted amount of all of its IPRE exposures. (iii) For an AI that started to use the advanced IRB approach for its HVCRE exposures at a time when it did not have any material IPRE exposures but which: (a) subsequently becomes aware that it has material IPRE exposures; and (b) does not also use the advanced IRB approach to derive the risk-weighted amount of all of its reference exposure30 , the AI must cease to use the advanced IRB approach in respect of its HVCRE exposures after the expiry of a period of 6 months after the date on which the AI became so aware, unless the AI begins to use the advanced IRB approach for all of its reference exposures 30 within that 6-month period. 74. Subject to paragraph 73, an AI may make a firm-size adjustment as described in paragraph 66 to an HVCRE exposure that meets the size criteria for SME corporates set out in paragraph 17. 75. In respect of SL under supervisory slotting criteria approach, an AI should apply the risk-weight specified in the table below for the relevant supervisory rating grade to which a SL is assigned in calculating the risk-weighted amount of that SL.

30 Please see the definition of “reference exposure” under section 158(6) of the Rules for the various sources of IPRE exposures of AIs for this purpose.

MA(BS)3(IIIc) /P.28 (03/2019) Strong Good Satisfactory Weak Default A. SL (other than HVCRE exposures) (i) Remaining maturity of less than 2.5 years 50% 70% 115% 250% 0% (ii) Remaining maturity of equal to or more than 2.5 years 70% 90% 115% 250% 0% B. HVCRE exposures (i) Remaining maturity of less than 2.5 years 70% 95% 140% 250% 0% (ii) Remaining maturity of equal to or more than 2.5 years 95% 120% 140% 250% 0% 76. An AI may assign a preferential risk-weight of – (a) 50% to “strong” exposures and 70% to “good” exposures, as set out in row A(i) of the table above, in respect of its SL (other than HVCRE exposures and specified ADC exposures); and (b) 70% to “strong” exposures and 95% to “good” exposures, as set out in row B(i) of the table above, in respect of its HVCRE exposures, provided that the SL has a remaining maturity of less than 2.5 years, or the AI demonstrates to the satisfaction of the MA that the AI’s credit underwriting criteria and the ability of the obligor in respect of the SL to withstand other risk characteristics are substantially stronger than the corresponding criteria for the equivalent supervisory rating grade as described in paragraph 16(i). (h) LSTs arising from OTC derivative transactions, credit derivative contracts and SFTs 77. An AI may calculate the risk-weighted amount of the default risk exposure in respect of LSTs by multiplying the EAD of the exposure by the relevant risk-weight attributable to that exposure determined under the STC approach in accordance with Part 4 of the Rules. However, the positions of such exposures should still be reported in Form MA(BS)3(IIIc).

MA(BS)3(IIIc) /P.29 (03/2019) (B) Credit Risk Components Probability of Default (PD) 78. For its corporate, sovereign and bank exposures, an AI should rate on an individual basis each legal entity to which the AI is exposed. In assigning a PD to individual obligors in a connected group, an AI may assign the same obligor grade in respect of exposures to these obligors (such an obligor grade reflects the benefits of group support in accordance with the established policy of the AI and is thus likely to be more favourable than if the individual obligors are rated on a standalone basis), provided the requirements of section 154(d) of the Rules are met. An AI is also required to set out in policies and put into operation a process for the identification of specific wrong-way risk for each legal entity to which the AI is exposed. 79. For corporate31 and bank exposures, the PD of an exposure is the greater of the PD associated with the internal obligor grade to which that exposure is assigned, or 0.03%. 80. Under the double default framework, PDo and PDg (see paragraph 62) are the PD associated with the internal obligor grade of the underlying obligor and the credit protection provider, respectively, and both are also subject to the PD floor of 0.03%. 81. For sovereign exposures, the PD of an exposure is the PD associated with the internal obligor grade to which that exposure is assigned (i.e. without any PD floor). 82. For corporate, sovereign and bank exposures, the PD of an exposure assigned to a default grade (i.e. a default of the obligor in respect of the exposure has occurred by virtue of section 149(1) or (5A) of the Rules) is 100%. 83. When estimating the PD for an obligor that is highly leveraged or whose assets are predominantly traded assets, ensure such estimate reflects the performance of the obligor’s assets based on volatilities calibrated to data from periods of significant financial stress. Forms and measures of leverage have proliferated, and will continue to evolve, as a result of financial innovation (in terms of products and trading strategies) and changes in market sentiment. While markets can, and apparently do, have a prevailing “sense” of which counterparties are regarded as “highly leveraged” (e.g. hedge funds and other equivalently highly leveraged financial sector entities), it appears that no market consensus has yet been reached on specific set(s) of definitive quantitative criteria for determining whether a counterparty is highly leveraged. AIs should therefore make their own judgement on whether an obligor should be considered “highly leveraged” in a prudent and consistent manner, having regard to the risk characteristics of their obligors and prevailing market perceptions of them as well as the nature of the markets in which they operate. A similar approach could be deployed in determining whether the assets of a particular counterparty are “predominantly” traded assets.

31 In estimating the PD of a holding company which has both consolidated and unconsolidated (i.e. company level) financial statements, an AI should assess the financial strength of the company on both bases. If these two bases suggest two different PDs, the AI should use the higher one.

MA(BS)3(IIIc) /P.30 (03/2019) Loss Given Default (LGD) 84. An AI should provide an estimate of the LGD for each corporate, sovereign and bank exposure. There are two approaches for deriving this LGD estimate: the foundation IRB approach or the advanced IRB approach. LGD under foundation IRB approach (a) Treatment of exposures which are unsecured or secured by non-recognized collateral under foundation IRB approach 85. Subject to paragraphs 87 and 88, for corporate, sovereign and bank exposures, a senior exposure32 that is unsecured or secured by a non-recognized collateral should be assigned a LGD of 45%. 86. Subject to paragraphs 87 and 88, for corporate, sovereign and bank exposures, a subordinated exposure33 should be assigned a LGD of 75%. (b) Treatment of transactions with specific wrong-way risk under foundation IRB approach 87. For default risk exposures in respect of single-name credit default swaps, where the swaps fall within section 226J(1) of the Rules and those exposures are determined in accordance with section 226J(3) of the Rules, the exposures should be assigned a supervisory estimate of 100% for the LGD. 88. For default risk exposures in respect of transactions that fall within section 226J(4) of the Rules, the exposures should be assigned a supervisory estimate of 100% for the LGD if the AI has the MA’s approval to calculate incremental risk charge for the transactions and the determination of the default risk exposures under that section has used existing calculations for incremental risk charge that already contain an LGD assumption. (c) Recognized collateral under foundation IRB approach 89. The following collateral can be recognized for senior exposures under the foundation IRB approach: (i) recognized financial collateral –  includes any collateral which can be recognized under the comprehensive

32 A senior exposure means an exposure to an obligor which is not a subordinated exposure. 33 A subordinated exposure means an exposure to an obligor which is lower in ranking, or junior, to other claims against the obligor in terms of the priority of repayment or which will be repaid only after all the senior claims against the obligor have been repaid.

MA(BS)3(IIIc) /P.31 (03/2019) approach34 to the treatment of collateral under the STC approach;  but does not include any collateral in the form of real property, or any collateral in the form of debt securities that would fall within the definition of re-securitization exposure in section 2(1) of the Rules if treated as an on￾balance sheet exposure; and (ii) recognized IRB collateral – these include:  financial receivables which fall within section 205 of the Rules (recognized financial receivables);  commercial real estate (recognized CRE) and residential real estate (recognized RRE) which fall within section 206 or 208 of the Rules; and  physical assets (other than recognized CRE or recognized RRE) which fall within section 207 or 208 of the Rules (other recognized IRB collateral). (d) Methodology for recognition of recognized financial collateral under foundation IRB approach 90. The methodology for recognition of recognized financial collateral closely follows the comprehensive approach under the STC approach. The effective LGD (LGD*) applicable to a senior exposure with recognized financial collateral is expressed as follows: LGD* = LGD x (E* / E) Where: LGD = The supervisory estimate of the LGD specified in paragraph 85, 87 or 88, as the case may be, before recognition of recognized financial collateral E = EAD of the exposure E* = Net credit exposure (being the EAD of the exposure after recognition of recognized financial collateral35) 91. E* is calculated as follows: E* = max {0, [E x (1 + He) - C x (1 - Hc - Hfx)]} Where: He = Haircut applicable to the exposure pursuant to the standard

34 The simple approach to the treatment of collateral under the STC approach is not available to an AI applying the IRB approach. 35 This concept is only applied to the calculation of LGD*. An AI should continue to calculate EAD without taking into account the presence of any collateral, unless otherwise specified.

MA(BS)3(IIIc) /P.32 (03/2019) supervisory haircuts for the comprehensive approach to treatment of recognized collateral subject to adjustment as set out in section 92 of the Rules C = Current market value of recognized financial collateral before adjustment required by the comprehensive approach to treatment of recognized collateral Hc = Haircut applicable to recognized financial collateral pursuant to the standard supervisory haircuts for the comprehensive approach to treatment of recognized collateral subject to adjustment as set out in section 92 of the Rules Hfx = Haircut applicable in consequence of a currency mismatch (if any) pursuant to the standard supervisory haircuts for the comprehensive approach to treatment of recognized collateral subject to adjustment as set out in section 92 of the Rules In calculating the net credit exposure (E*), haircuts should be applied to the value of the exposure (He) and the value of the collateral (Hc) for any possible future price fluctuations. Where there is a currency mismatch between the exposure and the collateral, a further haircut (Hfx) should be applied to the collateral to provide allowance for any possible fluctuation in exchange rates. An AI should refer to Annex IIIb-E of the completion instructions of Form MA(BS)3(IIIb) which sets out the standard supervisory haircuts and the circumstances requiring a haircut adjustment (i.e. based on the frequency of remargining or revaluation) under the comprehensive approach. Where there is maturity mismatch between the exposure and the collateral, the AI should adjust the value of the collateral in accordance with paragraphs 231 to 233. 92. As in the STC approach, a 0% haircut is applied to repo-style transactions that are treated as collateralized loans to the counterparty if the criteria for the preferential treatment under the comprehensive approach as set out in Annex IIIb-D of the completion instructions of Form MA(BS)3(IIIb) are satisfied. (e) Methodology for recognition of recognized IRB collateral under foundation IRB approach 93. The methodology for determining the LGD* of a senior exposure under the foundation IRB approach for cases where an AI has taken recognized IRB collateral is set out as follows: (i) exposures where the ratio of the current market value of the collateral received (C) to the EAD of the exposure (E) is below a threshold level of C* (i.e. the required minimum collateralization level for the exposure) will be treated as an unsecured exposure subject to a LGD specified in paragraph 85, 87 or 88, as the case may be; and (ii) exposures where the ratio of (C) to (E) exceeds another threshold level of C** (i.e. the required level of over-collateralization for full LGD recognition) will be assigned a LGD according to the table below:

MA(BS)3(IIIc) /P.33 (03/2019) Recognized IRB collateral Supervisory estimate of LGD Required minimum collateralization for partial recognition (C*) Required level of over￾collateralization for full recognition (C**) Recognized financial receivables 35% 0% 125% Recognized CRE/ RRE 35% 30% 140% Other recognized IRB collateral 40% 30% 140% 94. Under the foundation IRB approach, if the ratio of C to E of a senior exposure exceeds a threshold of level C* but not a threshold of level C**, the LGD* for the collateralized and uncollateralized portions of the exposure is determined as follows: (i) the part of the exposure considered to be fully collateralized (i.e. C/C**) receives the LGD associated with the type of collateral according to the table in paragraph 93; and (ii) the remaining part of the exposure is regarded as uncollateralized (i.e. E - C/C**) and receives a LGD specified in paragraph 85, 87 or 88, as the case may be. (f) Methodology for recognition of pools of recognized collateral under foundation IRB approach 95. The methodology for determining the LGD* of an exposure under the foundation IRB approach for cases where an AI has taken both recognized financial collateral and recognized IRB collateral is aligned with the treatment in the STC approach and based on the following guidance: (i) where an AI has obtained multiple forms of collateral recognized under the foundation IRB approach for an exposure, the AI should divide the exposure into:  the portion fully collateralized by recognized financial collateral (after taking into account various haircuts and the adjustment for maturity mismatch in determining the value of the recognized financial collateral);  the portion fully collateralized by recognized financial receivables;  the portion fully collateralized by recognized CRE/RRE;  the portion fully collateralized by other recognized IRB collateral;  the portion, if any, which is uncollateralized. (ii) where the ratio of the sum of the current market value of recognized CRE/RRE and other recognized IRB collateral to the remaining EAD of the exposure (i.e.

MA(BS)3(IIIc) /P.34 (03/2019) after taking into account the credit risk mitigating effect of recognized financial collateral and recognized financial receivables) is below the threshold level C* (i.e. 30%), the AI should assign a LGD specified in paragraph 85, 87 or 88, as the case may be, to the remaining exposure. (iii) the AI should calculate the risk-weighted amount of each fully secured portion of exposure separately. LGD under Advanced IRB Approach 96. Except for the exposures specified in paragraph 97, an AI using the advanced IRB approach is allowed to use its own internal estimates of LGD for corporate, sovereign and bank exposures. The LGD should be measured as a percentage of the EAD. 97. For a facility type that comprises default risk exposures in respect of single-name credit default swaps that fall within the description of paragraph 87 or transactions that fall within the description of paragraph 88, an AI must comply with the requirements of the applicable paragraph as if the institution were an AI that uses the foundation IRB approach. LGD under Double Default Framework 98. For the purposes of calculating the risk-weighted amount of hedged exposures under the double default framework, LGDg is the LGD of a comparable direct exposure to the credit protection provider (see paragraph 62). That means, LGDg will be the LGD of the exposure to the credit protection provider or an unhedged exposure to the underlying obligor, depending upon whether in the event both the credit protection provider and the underlying obligor default during the life of the hedged exposure, available evidence and the structure of the guarantee/credit derivative contract indicate that the amount recovered would depend on the financial condition of the credit protection provider or the underlying obligor, as the case may be. 99. In estimating the LGDg, an AI may recognize collateral provided exclusively against the exposure or the guarantee/credit derivative contract respectively. There should be no consideration of double recovery in the LGD estimate. Exposure at Default (EAD) 100. The EAD of an exposure is measured without deduction of specific provisions and partial write-offs. 101. In relation to an on-balance sheet exposure, an AI should use the current drawn amount of the exposure (for an exposure that is measured at fair value, the current drawn amount is the value determined in accordance with section 4A of the Rules), after taking into account the credit risk mitigating effect of any recognized netting (see Part XIII of this section), as an estimate of the EAD of the exposure such that the EAD of the exposure is not less than the sum of:

MA(BS)3(IIIc) /P.35 (03/2019) (i) the amount by which the AI’s CET1 capital would be reduced if the exposure were fully written-off; and (ii) any specific provisions and partial write-offs in respect of the exposure. Where the amount by which an AI’s estimate of EAD in respect of an exposure exceeds the sum of items (i) and (ii) of the exposure, this amount is termed a discount. The calculation of the risk-weighted amount should be independent of any discounts. In calculating the eligible provisions for the purpose of the EL-eligible provisions calculation as set out in Section C, any discounts attributed to defaulted exposures should be included. 102. In relation to the calculation of EAD of off-balance sheet exposures, an AI should refer to Part XII of this section. Effective Maturity (M) (a) M under foundation IRB approach 103. For an AI using the foundation IRB approach for corporate, sovereign and bank exposures, M will be 2.5 years except for repo-style transactions where M will be 6 months36 . (b) M under advanced IRB approach 104. An AI using the advanced IRB approach for corporate, sovereign and bank exposures is required to calculate M for each exposure. Subject to paragraph 105, M is defined as the greater of one year or the remaining effective maturity, in years, of the exposure as defined below: (i) subject to items (ii), (iii) and (iv), for an exposure subject to a predetermined cash flow schedule, M is defined as: M =   t *CF / CF where CFt denotes cash flows (including principal, interest payments and fees) contractually payable by the obligor in period t. Period t is expressed in years (that is, where a payment is due to be received in 18 months, t = 1.5); (ii) if the exposure is a default risk exposure in respect of a netting set calculated using the IMM(CCR) approach and the original maturity of the longest-dated

36 With the prior consent of the MA, an AI using the foundation IRB approach may calculate M for each exposure in accordance with paragraphs 104 to 106 if the AI can demonstrate that it has adequate systems for doing so.

MA(BS)3(IIIc) /P.36 (03/2019) contract contained in the netting set is greater than one year, the M of the exposure is calculated by:                    t year k t year k maturity t year k t df t df EE t df M 1 1 k 1 k Effective EE Effective EE Where –  dfk is the risk-free discount factor for future time period tk;  Effective EEk = effective EE at time tk calculated in accordance with section 226G of the Rules;  maturity = the time when the transaction which has the longest residual maturity in the netting set matures; and   k  k  k 1 t is the time interval between tk and tk-1 when EE is calculated at dates that are not equally spaced over time; (iii) subject to item (iv),  if the exposure is a default risk exposure in respect of a netting set calculated using the IMM(CCR) approach and all the transactions in the netting set have an original maturity of not more than one year, the effective maturity of each transaction in the netting set is calculated by the use of the formula under item (i), and the effective maturity of the netting set is calculated as the weighted average effective maturity of the transactions (using the notional amount of each transaction for weighting the maturity of the transactions within the netting set); and  if the netting set referred to in the bullet above contains only one transaction, the M of the exposure is calculated by the use of the formula under item (i);

(iv) if it is not practicable for an AI to calculate M of the contracted payments in accordance with item (i) or (iii), the AI should use a more prudent measure of M which is not less than the maximum remaining time, in years, that the obligor is permitted to take to fully discharge its contractual obligations (including principal payments, interest payments and fees) under the terms of the agreement governing the exposure. This usually corresponds to the nominal maturity of the exposure; and (v) subject to items (ii) and (iii), if an exposure is a net credit exposure resulting from the netting of more than one nettable OTC derivative transaction or credit derivative contract, the weighted average maturity of the transactions or contracts (using the notional amount of each transaction or contract for weighting the maturity of the transactions or contracts) subject to a valid bilateral netting agreement is used as the M but the M must be not less than one year.

MA(BS)3(IIIc) /P.37 (03/2019) In all cases, M will be no greater than five years. 105. The one-year floor does not apply to the following exposures: (i) fully or almost fully collateralized capital market-driven transactions (i.e. OTC derivative transactions, credit derivative contracts or margin lending transactions), or repo-style transactions with an original maturity of less than one year, where the documentation for the transaction or contract contains clauses requiring daily revaluation or re-margining and allowing for the prompt realization or set-off of the collateral in the event of default or failure to revalue or re-margin, as the case may be; and (ii) exposures with an original maturity of less than one year which are not part of an AI’s ongoing financing (i.e. there being no intent or legal obligation to roll over the exposure concerned in the future) of the obligor. These exposures include:  short-term self-liquidating trade transactions (such as an import or export letter of credit, or any similar transaction, which can be accounted for at its actual remaining maturity);  securities purchases or sales, cash settlement by wire transfer, foreign exchange settlement, or any other exposures arising from unsettled transactions that are entered into on a basis other than a delivery-versus￾payment basis, provided that such exposures do not continue for five business days or more after the settlement date; and  any other short-term exposures that an AI demonstrates to the satisfaction of the MA that the AI has no intent or legal obligation to roll over such exposures and will not, in practice, roll over the exposures. M of these exposures is calculated as the greater of one day or that measured in accordance with paragraph 104(i) or (iv). 106. Where an exposure of an AI is in respect of a netting set in which all the transactions or contracts fall within the description in paragraph 105(i) : (i) subject to items (ii) and (iii), the AI must calculate the M of the exposure in accordance with paragraph 104(v) except that the M need not be equal to or greater than one year; (ii) subject to item (iii), if the exposure is a default risk exposure calculated using the IMM(CCR) approach, the AI must calculate the M in accordance with paragraph 104(iii) except that the M need not be equal to or greater than one year; and (iii) in determining the M, the AI must apply a minimum level of M equal to –

MA(BS)3(IIIc) /P.38 (03/2019) (a) 10 days for a netting set that contains OTC derivative transactions, credit derivative contracts or margin lending transactions; (b) 5 days for a netting set that contains repo-style transactions; and (c) 10 days for a netting set that contains transactions or contracts that fall within both items (a) and (b). (c) M under the double default framework 107. For hedged exposures that are subject to the double default framework, Mos of the exposure should be the greater of: (i) one year; or (ii) the M of the credit protection in respect of the hedged exposure as calculated in accordance with paragraph 104. V. Retail Exposures (A) Risk-weight Function for Derivation of Risk-weighted Amount 108. There are three separate risk-weight functions for retail exposures as set out in paragraphs 109 to 111. The risk-weights for retail exposures are based on separate assessments of PD and LGD as inputs to the risk-weight functions. The calculation of the risk-weighted amount for retail exposures does not require the input of M. (a) Non-defaulted exposures RM 109. For retail exposures which fall within the IRB subclass of RM to individuals (see paragraph 24) or RM to property-holding shell companies (see paragraph 25) that are not in default (whether secured or partially secured37), the risk-weighted amount is calculated as follows: Correlation (R) = 0.15 Capital charge factor (K) = LGD × N[(1 - R)^-0.5 × G (PD) + (R / (1 - R))^0.5 × G (0.999)] - PD x LGD Risk-weight (RW) = K x 12.5 Risk-weighted amount = RW x EAD

37 This means that the risk-weight also applies to the unsecured portion of such RMs.

MA(BS)3(IIIc) /P.39 (03/2019) QRRE 110. For retail exposures which fall within the IRB subclass of QRRE (see paragraph 26) that are not in default, the risk-weighted amount is calculated as below: Correlation (R) = 0.04 Capital charge factor (K) = LGD × N[(1 - R)^-0.5 × G (PD) + (R / (1 - R))^0.5 × G (0.999)] - PD x LGD Risk-weight (RW) = K x 12.5 Risk-weighted amount = RW x EAD Small Business Retail Exposures and Other Retail Exposures to Individuals 111. For retail exposures which fall within the IRB subclasses of small business retail exposures38 (see paragraph 27) or other retail exposures to individuals (see paragraph 28) that are not in default, the risk-weighted amount is calculated as below: Correlation (R)39 = 0.03 × (1 - EXP (-35 × PD)) / (1 - EXP (-35)) + 0.16 × [1 - (1 - EXP (-35 × PD)) / (1 - EXP (-35))] Capital charge factor (K) = LGD × N[(1 - R)^-0.5 × G (PD) + (R / (1 - R))^0.5 × G (0.999)] - PD x LGD Risk-weight (RW) = K x 12.5 Risk-weighted amount = RW x EAD (b) Defaulted exposures 112. An AI should use the same risk-weight function set out in paragraph 109, 110 or 111, as the case may be, to calculate the risk-weighted amount of a retail exposure which is in default (i.e. a default of the obligor in respect of the exposure has occurred by virtue of section 149(1) or (5A) of the Rules), except that the capital charge factor (K) for a defaulted retail exposure should be equal to the greater of: (i) zero; or (ii) the figure resulting from the subtraction of the AI’s best estimate of the EL from

38 Where an AI intends to apply a double default framework to small business retail exposures, such exposures should be re-classified as corporate exposures because they should no longer be managed on a pooled or portfolio basis. 39 Correlation (R) is allowed to vary with PD.

MA(BS)3(IIIc) /P.40 (03/2019) the LGD of the exposure. (B) Credit Risk Components Probability of Default (PD) and Loss Given Default (LGD) 113. For each identified pool of retail exposures, an AI using the retail IRB approach should provide an estimate of the PD and LGD associated with the pool. The PD for a retail exposure is the greater of the PD associated with the pool to which the retail exposure is assigned or 0.03%. The PD of a retail exposure assigned to a default pool is 100%. 114. Owing to the potential for a very long run cycle in property prices which even comparatively long runs of data may not adequately capture, the estimate of LGD of a retail exposure which falls within the IRB subclass of RM to individuals or RM to property-holding shell companies cannot be set below 10%40 . Exposure at Default (EAD) 115. The EAD of an exposure is measured without deduction of specific provisions and partial write-offs. 116. In relation to an on-balance sheet exposure, an AI should use the current drawn amount of the exposure (for an exposure that is measured at fair value, the current drawn amount is the value determined in accordance with section 4A of the Rules), after taking into account the credit risk mitigating effect of any recognized netting (see Part XIII of this section), as an estimate of the EAD of the exposure such that the EAD of the exposure is not less than the sum of: (i) the amount by which an AI’s CET1 capital would be reduced if the exposure were fully written-off; and (ii) any specific provisions and partial write-offs in respect of the exposure. Where the amount by which an AI’s estimate of EAD in respect of an exposure exceeds the sum of items (i) and (ii) of the exposure, this amount is termed a discount. The calculation of the risk-weighted amount should be independent of any discounts. In calculating the eligible provisions for the purpose of the EL-eligible provisions calculation as set out in Section C, any discounts attributed to defaulted exposures should be included.

117. In relation to the calculation of EAD of off-balance sheet exposures, an AI should refer to Part XII of this section.

40 The 10% LGD floor should not apply, however, to sub-segments that are subject to, or benefit from, recognized guarantees issued by sovereigns. Furthermore, the existence of the floor does not imply any waiver of the requirements of LGD estimation.

MA(BS)3(IIIc) /P.41 (03/2019) VI. Equity Exposures (A) Derivation of Risk-weighted Amount 118. An AI is allowed to use either the market-based approach or the PD/LGD approach to calculate the risk-weighted amount of its equity exposures held in the banking book, subject to fulfilling the relevant requirements set out in the Rules including paragraphs 119 and 120 below. In addition, the AI should demonstrate to the satisfaction of the MA that the approach employed: (i) is appropriate for the AI’s portfolios of equity exposures; (ii) is applied consistently to those portfolios; and (iii) is not used for the purpose of regulatory capital arbitrage. 119. Subject to section 43(1)(n) of the Rules, where the net book value of an AI’s holdings referred to in subparagraph (i) or (ii) below exceeds 15% of the capital base of the AI as reported in its Form MA(BS)3 as at the immediately preceding calendar quarter end date, the AI must allocate a risk-weight of 1250% to the EAD of that amount of the net book value of the holdings that exceeds that 15% in the calculation of the risk￾weighted amount of that portion of the equity exposure – (i) the AI’s holdings of shares in any commercial entity if the holdings amount to more than 10% of the ordinary shares issued by that commercial entity; and (ii) the AI’s holdings of shares in any commercial entity if that entity is an affiliate of the AI. 120. An AI must calculate the risk-weighted amount of an equity exposure to a financial sector entity that is a significant LAC investment by multiplying that portion of the EAD of the equity exposure that is not subject to deduction from the AI’s CET1 capital under section 43(1)(p) of the Rules by a risk-weight of 250%. 121. An AI’s holding of any insignificant LAC investment and non-capital LAC liability falling within section 48A of the Rules which are not subject to deduction from any of the AI’s CET1 capital, Additional Tier 1 capital and Tier 2 capital under sections 43(1)(o), 47(1)(c), 48(1)(c) and 48(1)(g) of the Rules must be risk-weighted in accordance with this Part. (a) Market-based approach 122. Under this approach, an AI is permitted to calculate the risk-weighted amount of its equity exposures held in the banking book using one or both of the following two separate and distinct methods: (i) Simple risk-weight method

MA(BS)3(IIIc) /P.42 (03/2019) A 300% risk-weight is to be applied to equity exposure in a publicly traded company (being an equity security traded on a recognized exchange) and a 400% risk-weight is to be applied to all other equity exposures. Short positions in an equity exposure (including derivative instruments) held in the banking book are permitted to offset long positions in the same equity exposure, provided that these short positions have been explicitly designated as a hedge of the long positions in that equity exposure and that they have a remaining maturity of at least one year. Other short positions (including the net short position remains after the set-off) are to be treated as if they were long positions with the relevant risk-weight applied to the absolute value of each position. In the context of maturity mismatched positions, the treatment is set out in paragraphs 231 to 233. (ii) Internal models method An AI may use its internal models to calculate the risk-weighted amount of its equity exposures, subject to fulfilling the relevant requirements set out in the Rules. Under this method, the AI should calculate the risk-weighted amount of its equity exposures by multiplying the potential loss of its equity exposures as derived by using its internal models (e.g. VaR models) subject to the one-tailed 99% confidence interval of the difference between quarterly returns of the exposures and an appropriate risk-free rate computed over a long-term observation period (i.e. not less than three years) by 12.5. The risk-weighted amount calculated under the internal models method should be no less than the risk-weighted amount calculated under the simple risk￾weight method using a 200% risk-weight for equity exposure in a publicly traded company and a 300% risk-weight for all other equity exposures. Such minimum risk-weighted amount should be calculated separately using the simple risk-weight method at individual exposure level rather than at portfolio level. 123. An AI may use more than one market-based approach for its different equity portfolios41 , provided that the AI can demonstrate to the satisfaction of the MA that: (i) this is justified having regard to the respective risk profiles of the portfolios; and (ii) the AI uses different risk assessment methods for the portfolios in its internal risk management functions. (b) PD/LGD approach 124. The minimum requirements and methodology for calculating the risk-weighted amount of equity exposures under the PD/LGD approach are the same as those for the

41 For example, the AI may apply the simple risk-weight method to its non-listed equity exposures while the internal models method to its listed equity exposures.

MA(BS)3(IIIc) /P.43 (03/2019) foundation IRB approach for corporate exposures, except that: (i) the EAD in respect of an equity exposure should be determined in accordance with paragraphs 132 to 134; (ii) if the AI has an equity exposure to a corporate but does not have a debt exposure to that corporate such that the AI does not have sufficient information on the corporate for the application of the prescribed default criteria42 as set out in the Rules, the AI should calculate the risk-weighted amount of the equity exposure such that:  if the EAD of the AI’s equity exposures to the corporate is not more than 15% of the AI’s total equity exposures, the AI calculates the risk-weighted amount of the equity exposure by multiplying the EAD of the exposure by the product of the risk-weight as derived from using the risk-weight function set out in paragraph 60 (where applicable, adjusted in accordance with paragraph 66 in respect of exposures to SME corporates or in accordance with paragraph 67 in respect of exposures to financial institutions that are subject to the asset value correlation multiplier) and a factor of 1.5;  if the EAD of the AI’s equity exposures to the corporate exceeds 15% of the AI’s total equity exposures, the AI applies the simple risk-weight method set out in paragraph 122(i); (iii) an LGD of 90%43 is assumed for deriving the risk-weight of an equity exposure; and (iv) M is assumed to be five years. 125. When estimating the PD for an obligor that is highly leveraged or whose assets are predominantly traded assets, ensure such estimate reflects the performance of the obligor’s assets based on volatilities calibrated to data from periods of significant financial stress (also see paragraph 83). 126. Hedging for equity exposures under the PD/LGD approach is subject to an LGD of 90% in respect of the exposure to the seller of the hedge. For this purpose, equity exposures will be treated as having a five-year maturity. 127. Under the PD/LGD approach, when the sum of UL and EL in respect of an equity exposure results in lesser capital than would be required from application of one of the minimum risk-weights set out in paragraphs 128 and 129, the minimum risk￾weights should be used. In other words, the minimum risk-weight should be applied, if the risk-weight calculated according to paragraph 124 plus the EL in respect of an equity exposure (i.e. EL for non-defaulted exposures = PD x LGD while EL for

42 In practice, if there are both an equity exposure and a debt exposure to the same counterparty, a default on the debt exposure would thus trigger a simultaneous default for regulatory purposes on the equity exposure. 43 There is no advanced approach for equity exposures.

MA(BS)3(IIIc) /P.44 (03/2019) defaulted exposures = an AI’s best estimate of EL) multiplied by 12.5 is less than the minimum risk-weight applicable to the exposure. 128. A minimum risk-weight of 100% applies to the following types of equity exposures as long as the portfolio is managed in the manner outlined below: (i) publicly traded equity exposures held for long-term investment – equity exposures in publicly traded companies where the investment is part of a long￾term customer relationship, any capital gains are not expected to be realized in the short-term in accordance with the AI’s investment policy and there is no anticipation of above trend capital gains in the long-term. It is expected that in almost all cases, the AI will have lending and/or general banking relationships with the portfolio company so that the estimated PD is readily available. Given their long-term nature, specification of an appropriate holding period for such investments merits careful consideration. In general, the AI is expected to hold the equity over the long-term (at least five years); and (ii) privately owned equity exposures held for long-term investment – equity exposures in privately owned companies where the returns on the exposures are based on regular and periodic cash flows not derived from capital gains and there is no expectation of future above trend capital gain, or realization of any existing gain in the short-term, in accordance with the AI’s investment policy. 129. For all other equity positions, including net short positions (see paragraph 122(i)), the minimum risk-weights are 200% for publicly traded equity exposures and 300% for all other equity exposures. 130. A risk-weight of 1250% must be applied if the risk-weight calculated in accordance with paragraph 124 plus the EL in respect of an equity exposure multiplied by 12.5 exceeds 1250%. 131. An AI must allocate a risk-weight of 1250% to the EL amount of the equity exposures subject to the PD/LGD approach as determined in accordance with section 223 of the Rules, and add the product of the 2 items to the risk-weighted amount of the AI’s equity exposures. (B) Credit Risk Components Exposure at Default (EAD) 132. In general, the measure of EAD for an equity exposure, on which the calculation of the risk-weighted amount is based, is: (i) if the equity exposure is measured at fair value, the value determined in accordance with section 4A of the Rules; and (ii) if the equity exposure is not measured at fair value, the cost presented on the balance sheet.

MA(BS)3(IIIc) /P.45 (03/2019) 133. Holdings in a collective investment scheme which contains investments which would constitute both equity exposures and non-equity exposures can be treated, in a consistent manner, either as a single investment based on the majority of the scheme’s investments, or, where possible, as separate and distinct investments in the scheme’s component investments based on a look-through approach. 134. Where only the investment mandate of the collective investment scheme is known, the scheme can still be treated as a single investment. For this purpose, it is assumed that the scheme first invests, to the maximum extent allowed under its mandate, in investments which would constitute exposures falling within the IRB class attracting the highest capital charge of all the investments permissible under the scheme’s investment mandate, and then continues making investments which would constitute exposures falling within other IRB classes in descending order of the level of the capital charge required in respect of such exposures. VII. Other Exposures (A) Cash Items 135. The risk-weighted amount of cash items is calculated by multiplying the EAD (i.e., the principal amount) of each item by an applicable risk-weight as specified below: Cash items Risk￾weight

1. Notes and coins This item includes all notes and coins that are the lawful currency of a jurisdiction. 0%
2. Government certificates of indebtedness This item represents the certificates of indebtedness issued by the HKSAR Government for the issue of legal tender notes. 0%
3. Gold bullion held in own vault or on an allocated basis, to the extent backed by gold liabilities This item includes all gold bullion held by the AI or held by another person for the AI on an allocated basis, to the extent backed by gold bullion liabilities. Gold bullion held by the AI for other persons should not be reported. Gold bullion held by another person for the AI on an unallocated basis, although backed by the AI’s gold bullion liabilities, should be treated as an exposure to a counterparty and risk-weighted according to the IRB class/subclass to which that counterparty belongs. 0%
4. Gold bullion held not backed by gold liabilities This item includes all gold bullion held by the AI or held by another person for the AI, to the extent not backed by the AI’s 100%

MA(BS)3(IIIc) /P.46 (03/2019) Cash items Risk￾weight gold bullion liabilities. 5. Cash items in the course of collection (a) This item includes all cheques, drafts and other items drawn on other banks that are payable to the account of the AI immediately upon presentation and that are in the process of collection. Included are cheques and drafts against which the AI has purchased or discounted the cheques presented by its customer and in respect of which the AI is now seeking payment from the drawee bank. (b) Unsettled clearing items that are being processed through any interbank clearing system in Hong Kong and receivables from transactions in securities (other than repo-style transactions), foreign exchange, and commodities which are not yet due for settlement should, however, be subject to a risk-weight of 0%. Import and export trade bills held by the AI that are in the process of collection should not be included in cash items but should be risk-weighted according to the IRB class/subclass to which the counterparty belongs. 20% 0% 6. Positive current exposures from delivery-versus-payment transactions which remain unsettled after the settlement date (a) for up to 4 business days 0% (b) for 5 to 15 business days 100% (c) for 16 to 30 business days 625% (d) for 31 to 45 business days 937.5% (e) for 46 or more business days 1250% This item refers to any positive current exposure arising from transactions in securities (other than repo-style transactions), foreign exchange and commodities entered into on a delivery￾versus-payment (DvP) basis where payment/delivery has not yet taken place after the settlement date. 7. Amount due from transactions entered into on a basis other than a DvP basis (non-DvP transactions) and which remain unsettled for up to 4 business days after the settlement date (for non-significant amount only) This item refers to any non-DvP transaction where an AI has made payment/delivery to a counterparty but payment/delivery from the counterparty has not yet taken place up to and including the fourth business day after the settlement date. Such transactions should be treated as a loan provided by the AI to 100%

MA(BS)3(IIIc) /P.47 (03/2019) Cash items Risk￾weight the counterparty and risk-weighted according to the IRB class/subclass to which that counterparty belongs. The EAD of such transactions should be the amount of the payment made or the current market value of the thing delivered by the AI, plus any positive current exposure associated with the transactions. However, if the EAD of a transaction is immaterial (i.e. less than HK$10 million), the AI may choose to report such exposures under this item and apply a uniform 100% risk-weight to them in order to avoid performing a full credit assessment. 8. Amount due from transactions entered into on a basis other than a DvP basis and which remain unsettled for 5 or more business days after the settlement date This item refers to any non-DvP transactions in securities (other than repo-style transactions), or transactions in foreign exchange and commodities, that have remained unsettled after the contractual date of payment or delivery to the AI for 5 or more business days. The EAD of such transactions should be the amounts of payment made or the current market value of the thing delivered by the AI, plus any positive current exposure associated with the transactions. 1250% (B) Other Items 136. The risk-weighted amount of other items is calculated by multiplying the EAD (i.e. the principal amount) of each item by a uniform risk-weight of 100%, or a higher risk￾weight specified by the MA if the MA is of the view that a particular exposure item poses a higher risk to the AI. Other items Risk-weight

1. Premises, plant and equipment, other fixed assets for own use, and other interest in land and buildings This item includes investments in premises, plant and equipment and all other fixed assets of the AI which are held for own use and a right-of-use asset recognized by the AI as a lessee in accordance with the prevailing accounting standards issued by Hong Kong Institute of Certified Public Accountants where the asset leased is a tangible asset. Other interest in land which are not occupied or used in the operation of the AI’s business should also be reported here. 100% unless otherwise specified by the MA

MA(BS)3(IIIc) /P.48 (03/2019) Other items Risk-weight 2. Exposures subject to the IRB approach which are not elsewhere specified This item includes exposures that are not classified under the IRB class of corporate, sovereign, bank, retail or equity exposures or the IRB subclass of cash items. 100% unless otherwise specified by the MA VIII. Purchased Receivables (A) Derivation of Risk-weighted Amount for Default Risk 137. Purchased receivables should be classified as retail or corporate exposures, according to the nature of the receivables. For receivables belonging unambiguously to one IRB subclass, the risk-weight for default risk is based on the risk-weight function applicable to that particular IRB subclass, as long as the AI can meet the relevant requirements for the use of that particular risk-weight function. For example, if an AI cannot comply with the criteria for QRRE (see paragraph 26), the AI should use the risk-weight function for other retail exposures to individuals (see paragraph 28). Where an AI purchases a hybrid pool of receivables containing a mixture of exposures, the AI should, if it cannot separate the receivables into different IRB subclasses, apply the risk-weight function that will result in the highest risk-weighted amount of the exposures in the pool of purchased receivables. (a) Purchased retail receivables 138. An AI may use the “top-down” approach to its purchased retail receivables as for other retail exposures (i.e. estimation of credit risk components on a pooled basis), provided that it meets the relevant requirements for retail exposures as set out in the Rules, and, in the case of calculation of default risk, it meets the requirements referred to in section 200(d) of the Rules. The AI may utilize external and internal reference data to estimate the PD and LGD in respect of its purchased retail receivables at the pool level (i.e. the AI is not required to estimate PDs and LGDs or EL for individual retail receivables within the pool). The estimates for PD and LGD (or EL) should be calculated for the purchased retail receivables on a stand-alone basis, that is, without regard to any recourse to, or guarantees from, the seller or other parties. (b) Purchased corporate receivables 139. An AI which purchases corporate receivables should use the “bottom-up” approach to estimate the credit risk components for individual receivables for the calculation of the risk-weighted amount (i.e. consistent with the treatment of the AI’s corporate exposures). In other words, the AI is not allowed to use the “top-down” approach to its purchased corporate receivables. The estimates for PD and LGD (or EL) should be

MA(BS)3(IIIc) /P.49 (03/2019) calculated for each of the purchased corporate receivables on a stand-alone basis, that is, without regard to any recourse to, or guarantees from, the seller or other parties. (B) Derivation of Risk-weighted Amount for Dilution Risk 140. Dilution refers to the possibility that the amount of a receivable is reduced through cash or non-cash credits to the receivable’s obligor44 . The following treatment of dilution risk will be applied regardless of whether the purchased receivables are corporate or retail exposures. 141. Unless an AI can demonstrate to the satisfaction of the MA that the dilution risk it faces is immaterial, the AI should calculate the risk-weighted amount for dilution risk in respect of both purchased corporate and retail receivables as follows: (i) at the level of either the pool as a whole (the “top-down” approach) or the individual receivables making up the pool (the “bottom-up” approach), the purchasing AI has to estimate the one-year EL for dilution risk (expressed as a percentage of the EAD of the purchased receivables); and (ii) as with the treatment for default risk, the estimate of dilution risk should be computed on a stand-alone basis, that is, without regard to any recourse to, or guarantees from, the seller or other parties. 142. For the purpose of calculating the risk-weighted amount for dilution risk, the risk￾weight function for corporate exposures set out in paragraph 60 (and where applicable, adjusted in accordance with paragraph 66 in respect of SME corporates; paragraph 67 in respect of exposures to financial institutions that are subject to the asset value correlation multiplier; or paragraph 73(i) in respect of HVCRE exposures) should be used as follows: (i) PD should be set equal to the AI’s estimate of EL for dilution risk; (ii) LGD should be set at 100%; and (iii) M is determined in accordance with:  in the case of purchased corporate receivables, paragraph 103 if the AI uses the foundation IRB approach, or paragraphs 104 to 106 if the AI uses the advanced IRB approach;  in the case of purchased retail receivables, paragraphs 104 to 106. If an AI can demonstrate to the satisfaction of the MA that the AI’s dilution risk in respect of its purchased receivables is monitored and managed by the AI with

44 Examples include offsets or allowances arising from returns of goods sold, disputes regarding product quality, possible debts of the borrower to a receivable’s obligor, and any payment or promotional discounts offered by the borrower (e.g. a credit for cash payments within 30 days).

MA(BS)3(IIIc) /P.50 (03/2019) a view to the risk being resolved within one year after the purchase, the AI may set M at one year. IX. Leasing Transactions (A) Leases without Residual Value Risk 143. Exposures arising from leasing arrangements, other than those exposing the AI to residual value risk (see paragraph 144), should be treated as exposures secured by the leased assets. An AI may recognize the credit risk mitigating effect of the leased assets as recognized collateral if the relevant requirements set out in the Rules are met. (B) Leases with Residual Value Risk 144. Exposures arising from leasing arrangements that expose the AI to residual value risk should be treated as follows: (i) risk-weighted amount for default risk – an AI should calculate the risk-weighted amount for default risk in respect of the exposure by multiplying the discounted lease payment stream (i.e. EAD) by a risk-weight derived by using the risk￾weight function applicable to the IRB subclass within which an exposure to the lessee falls (the PD and LGD as those which the AI assigns to the exposure); and (ii) risk-weighted amount for residual value risk – an AI should calculate the risk￾weighted amount for residual value risk in respect of the exposure by multiplying the residual value of the leased asset by a risk-weight of 100%. X. Securities Financing Transactions 145. Subject to paragraphs 146, 147 and 148, the credit exposures to assets underlying securities financing transactions (SFTs) booked in the banking book or trading book of AIs should be risk-weighted using the “economic substance” approach as described below, and reported in Divisions B, C and F (if the securities are non-securitization exposures) or Form MA(BS)3(IIId) (if the securities are securitization exposures) as appropriate: (a) repos of securities - where an AI has sold securities under repo agreements, the securities sold should continue to be treated as assets on the balance sheet of the AI, with regulatory capital provided for the credit exposure to the securities (see also sections 75(2), 76(a) and 202(4) and (5) of the Rules); (b) reverse repos of securities - where an AI has acquired securities under reverse repo agreements, no regulatory capital is required for the money paid by the AI;

MA(BS)3(IIIc) /P.51 (03/2019) (c) securities lending - the treatment is similar to that of repo transactions. The securities lent should continue to remain as assets on the balance sheet of the AI, with regulatory capital provided for the credit exposure to the securities (see also sections 75(2), 76(a) and 202(4) and (5) of the Rules); and (d) securities borrowing - where the collateral provided is not cash but securities, those securities should continue to remain as assets on the balance sheet of the AI, with regulatory capital provided for the credit exposure to those securities (see also sections 75(4)(b), 76(b) and 202(4) and (5) of the Rules). 146. If the securities underlying the SFTs are securitization issues, the AI should determine the risk-weight attributable to the securities in accordance with Part 7 of the Rules (see also section 75(5) of the Rules) and report the securities in Form MA(BS)3(IIId) accordingly. 147. Where an AI applies section 75 of the Rules to an SFT booked in its banking book, the AI must determine the risk-weight to be allocated to its exposure under the SFT in accordance with— (a) the risk-weight function for corporate, sovereign and bank exposures; (b) the risk-weight function for retail exposures; or (c) the market-based approach or the PD/LGD approach for equity exposures, as the case may be, according to the nature of the asset underlying the SFT, and, where applicable, the IRB class within which the issuer of the asset falls. 148. An exposure of an AI to the asset underlying a specified SFT as defined in section 76(2) of the Rules is an exposure subject to the requirements of Part 8 of the Rules instead. 149. Subject to paragraph 150, the default risk exposures in respect of SFTs (including centrally cleared trades that are treated as bilateral trades) booked in the banking book or trading book of AIs and the associated risk-weighted amount are determined in the following manner: (a) AIs with the MA’s approval to use the IMM(CCR) approach to calculate the default risk exposures in respect of SFTs (and also any LST arising from those transactions where covered by the IMM(CCR) approval) should report the exposures in Form IRB_OBSD_IMM. The instructions set out in paragraphs 183 to 186 on the use of the IMM(CCR) approach in respect of derivative contracts apply to SFTs (see also sections 202(2) and 76A(2) of the Rules); (b) AIs that do not have an IMM(CCR) approval to calculate the default risk exposures in respect of SFTs should calculate the exposures as follows and report the exposures in Form IRB_OBSD_N_IMM: (i) repos of securities - the AI must treat the securities sold as if they were an on-balance sheet exposure to the counterparty concerned secured on the

MA(BS)3(IIIc) /P.52 (03/2019) money received by the AI, and, accordingly, calculate the risk-weighted amount of the AI’s default risk exposure in respect of the transaction taking into account the credit risk mitigating (CRM) effect of the collateral (see also sections 202(1) and (3) and 76A(4) of the Rules); (ii) reverse repos of securities – the AI must treat the money paid by the AI as if it were a loan to the counterparty concerned secured on the securities received by the AI, and, accordingly, calculate the risk-weighted amount of the AI’s default risk exposure in respect of the transaction taking into account the CRM effect of the collateral (see also sections 202(1) and (3) and 76A(5) of the Rules); (iii) securities lending – the AI must treat the securities lent as if they were an on￾balance sheet exposure to the counterparty concerned45 secured on the money or securities received by the AI, and, accordingly, calculate the risk-weighted amount of the AI’s default risk exposure in respect of the transaction taking into account the CRM effect of the collateral (see also sections 202(1) and (3) and 76A(4) of the Rules); (iv) securities borrowing – the AI must treat the money paid or the securities provided by the AI as collateral as if it were an on-balance sheet exposure to the counterparty concerned secured on the securities borrowed, and, accordingly, calculate the risk-weighted amount of the AI’s default risk exposure in respect of the transaction taking into account the CRM effect of the collateral (see also sections 202(1) and (3) and 76A(7) of the Rules); and (v) margin lending – the AI must calculate the risk-weighted amount of the default risk exposure in respect of the transaction taking into account the CRM effect of the securities financed by the transaction (see also sections 202(1) and (3) and 76A(6) of the Rules). 150. Subject to paragraph 151, where an AI applies section 76A(2) or 76A(4), (5), (6) and (7), as the case requires, to an SFT, the AI must determine the risk-weight to be allocated to its exposure under the SFT in accordance with— (a) the risk-weight function for corporate, sovereign and bank exposures; or (b) the risk-weight function for retail exposures, as the case may be, according to the IRB class within which an exposure to the counterparty to the SFT falls and, where applicable, in accordance with the treatment of credit risk mitigation set out in Division 10 of Part 6 of the Rules. 151. For LSTs arising from SFTs, an AI may determine the relevant risk-weight using the STC approach on a permanent basis.

45 For securities lending or borrowing where the contractual agreement is made between the securities borrower/lender and the custodian (e.g. Clearstream Banking or Euroclear Bank), and the securities borrower/lender has no knowledge of from/to whom the security is borrowed/lent, the custodian becomes the “counterparty” of the securities borrower/lender.

MA(BS)3(IIIc) /P.53 (03/2019) 152. The SFT risk-weighted amount of an AI referred to in paragraph 42(iii) is the sum of the default risk risk-weighted amounts for all counterparties to the SFTs of the AI where the default risk risk-weighted amount for each of the counterparties is calculated as the product of (i) the sum of default risk exposures across all the SFTs with the counterparty mentioned in paragraph 149(b) or calculated in accordance with paragraphs 201 to 206, as the case requires, and (ii) the applicable risk-weight under Part 6 of the Rules (see paragraph 150). XI. Credit-linked Notes 153. Where an AI issues a credit-linked note to cover the credit risk of an underlying exposure (i.e. the AI buys credit protection), the maximum amount of protection is the amount of the funds received from issuing that note. The protected amount should be treated as an exposure collateralized by cash deposits while the remaining unprotected amount, if any, should be treated as an exposure to the issuer of the underlying asset. 154. When an AI buys a credit-linked note (i.e. the AI sells credit protection), it acquires credit exposure on two fronts, to the reference obligation(s) of the note and also to the note issuer. A credit-linked note held by the AI, which is an on-balance sheet exposure, should be allocated a risk-weight, as determined by the applicable risk￾weight function, which is the higher of the risk-weight attributable to the reference obligation(s) of the note as if the AI had a direct exposure to the reference obligation(s), or the risk-weight attributable to the note. However, an AI is not required to provide regulatory capital for its exposure to a credit-linked note held by it in excess of the institution’s maximum liability under the note. XII. Calculation of Risk-weighted Amount of Off-balance Sheet Exposures (A) Classification of Off-balance Sheet Exposures 155. An AI is required to categorize its off-balance sheet exposures into one of the following two types: (i) off-balance sheet exposures (other than OTC derivative transactions, credit derivative contracts and SFTs) in the banking book; (ii) OTC derivative transactions, credit derivative contracts and SFTs in both the banking book and trading book. (B) Derivation of Risk-weighted Amount of Off-balance Sheet Exposures 156. Except as specified in paragraphs 158, 159 and 160, for the calculation of the risk￾weighted amount of off-balance sheet exposures, an AI should: (i) convert an off-balance sheet exposure into credit equivalent amount (i.e. EAD) by:

MA(BS)3(IIIc) /P.54 (03/2019)  applying an applicable credit conversion factor (CCF) to the principal amount of the off-balance sheet exposure (other than OTC derivative transactions, credit derivative contracts and SFTs) in the banking book; and  using the IMM(CCR) approach, the current exposure method or the methods referred to in section 10A(1)(b) of the Rules, as permitted under the Rules, in respect of the OTC derivative transaction, credit derivative contract and SFT, as the case may be (the resultant EAD estimate is termed “default risk exposure”); and (ii) multiply the credit equivalent amount of the off-balance sheet exposure by an applicable risk-weight. 157. This Part focuses on instructions for the calculation of risk-weighted amount of the default risk exposure of OTC derivative transactions and credit derivative contracts using the IMM(CCR) approach or the current exposure method but include SFTs where specified. For specific instructions for the calculation of risk-weighted amount of the default risk exposures in respect of SFTs, an AI should refer to paragraph 149(a) for those that are subject to the IMM(CCR) approach, and paragraph 149(b) for those that are not. 158. If an exposure arising from an OTC derivative transaction, credit derivative contract or SFT falls within section 226Z of the Rules, an AI that calculates the default risk exposures using methods other than the IMM(CCR) approach may multiply the default risk exposure so calculated by the applicable scaling factor specified in section 226Z(4) of the Rules. 159. For exchange-traded derivative contracts that are treated as bilateral trades for risk￾weighting purpose, the default risk exposure of the contracts should be determined as if they were OTC derivative transactions or credit derivative contracts, as the case requires. 160. For LSTs arising from OTC derivative transactions, credit derivative contracts or SFTs, an AI may determine the relevant risk-weight using the STC approach on a permanent basis. 161. Under the current exposure method and the IMM(CCR) approach, the default risk exposures of credit derivative contracts falling within the following categories can be regarded as zero: (i) Credit default swaps that have been reported as “direct credit substitutes” in item 1 of Division D (i.e. the AI has already held capital against the credit risk of the reference obligations underlying the swaps); (ii) Recognized credit derivative contracts held by the AI as protection buyer in respect of which the CRM effects have already been taken into account in accordance with Division 10 of Part 6 of the Rules for the purposes of risk￾weighted amount calculation.

MA(BS)3(IIIc) /P.55 (03/2019) Off-balance Sheet Exposures (Other than OTC Derivative Transactions, Credit Derivative Contracts and SFTs) (a) CCFs and EAD 162. An AI should classify each of its off-balance sheet exposures (other than OTC derivative transactions, credit derivative contracts and SFTs) in the banking book as one of the following items: Off-balance sheet exposures (other than OTC derivative transactions, credit derivative contracts and SFTs) in the banking book CCF Corporate/Sovereign/Bank exposures Retail exposures FIRB approach AIRB approach Retail IRB approach

1. Direct credit substitutes 100% 100% Own estimate
2. Transaction-related contingencies 50% Own estimate Own estimate
3. Trade-related contingencies 20% Own estimate Own estimate
4. Asset sales with recourse 100% 100% Own estimate
5. Forward asset purchases 100% 100% Own estimate
6. Partly paid-up securities (being an off-balance sheet exposure to the credit risk of the securities purchased from an issuer where only a part of the issue price or nominal face value of the securities has be paid by the institution and the instution will be required to pay the unpaid amount in the future) In respect of partly paid-up equity shares, the unpaid portion of which an AI may be called upon by the issuer to pay should be subject to a CCF of 100% and reported under equity exposures, together with the paid-up portion. 100% 100% Own estimate
7. Forward forward deposits 100% 100% Own

MA(BS)3(IIIc) /P.56 (03/2019) Off-balance sheet exposures (other than OTC derivative transactions, credit derivative contracts and SFTs) in the banking book CCF Corporate/Sovereign/Bank exposures Retail exposures FIRB approach AIRB approach Retail IRB approach placed46 estimate 8. Note issuance and revolving underwriting facilities 75% Own estimate Own estimate 9. Commitments that are unconditionally cancellable without prior notice (i.e. off￾balance sheet exposures that do not fall within any of items 1 to 8 and arise from commitments which may be cancelled at any time unconditionally by an AI or which provide for automatic cancellation due to a deterioration in the creditworthiness of the person to whom the commitment has been made47); 0% Own estimate Own estimate 10. Other commitments (a) Subject to paragraph (b), commitments which do not fall within item 9; and 75% Own estimate Own estimate (b) the drawdown of which will give rise to an off-balance sheet exposure falling within any of items 1 to 8 or item 11. The lower of 75% or the CCF applicable to the off￾balance sheet exposure arising from the drawdown of the commitment concerned Own estimate Own estimate

46 Where an AI has contracted to receive a deposit (i.e. forward forward deposits taken), failure to deliver by the counterparty may result in an unanticipated change in the AI’s interest rate exposures and involve a replacement cost. Such exposure should thus be accorded the same treatment as interest rate contracts (see paragraph 169). 47 Included in this item are those facilities that are unconditionally cancellable without prior notice by the AI other than for “force majeure” reasons, or that effectively provide for automatic cancellation due to deterioration in a borrower’s creditworthiness. This also includes any revolving or undated/open-ended commitments, e.g. overdrafts or unused credit card lines, provided that these commitments can be unconditionally cancelled at any time and subject to credit review at least annually.

MA(BS)3(IIIc) /P.57 (03/2019) Off-balance sheet exposures (other than OTC derivative transactions, credit derivative contracts and SFTs) in the banking book CCF Corporate/Sovereign/Bank exposures Retail exposures FIRB approach AIRB approach Retail IRB approach 11. Others This item includes any off-balance sheet exposure not classified as the above items. A CCF specified by the MA or 100% 163. An AI using the advanced IRB approach for corporate, sovereign and bank exposures or the retail IRB approach for retail exposures is allowed to provide its own estimates of CCFs for off-balance sheet exposures as listed in paragraph 162. 164. For corporate, sovereign and bank exposures, the principal amount to which the CCF is applied is the lower of (i) the amount of the unused committed credit line or (ii) the amount that reflects any possible constraining availability of the facility (e.g. the existence of a ceiling on the potential lending amount subject to the borrower’s reported cash flow). If the facility is constrained in this manner, the AI should have sufficient monitoring and management procedures to support this treatment. 165. For retail exposures with an uncertain future drawdown (e.g. credit cards), an AI should take into account the drawdown and repayment history and expectation of additional drawings by the obligors prior to default in its overall calibration of loss estimates. In particular, where an AI does not reflect CCFs for undrawn lines in its EAD estimates, it should reflect in its LGD estimates the likelihood of additional drawings prior to default. Conversely, if an AI does not incorporate the possibility of additional drawings in its LGD estimates, it should do so in its EAD estimates. 166. When only the drawn balances of retail facilities have been securitized, an AI should ensure that it continues to hold required capital against its share (i.e. seller’s interest) of undrawn balances related to the securitization exposures under the IRB approach. For determining the EAD associated with the seller’s interest in the undrawn lines, the undrawn balances of securitization exposures will be allocated between the seller’s and investors’ interests on a pro rata basis, based on the proportion of the seller’s and investors’ shares of the securitized drawn balances. 167. For item 11 under paragraph 162, an AI should apply a CCF of 100%, unless a CCF applicable to the exposure is specified in Part 2 of Schedule 1 to the Rules. (b) Calculation of risk-weighted amount 168. In calculating the risk-weighted amount of off-balance sheet exposures (other than OTC derivative transactions, credit derivative contracts and SFTs) in the banking book, the applicable risk-weight to an exposure should be derived from the risk￾weight function for the IRB class/subclass within which the exposure falls.

MA(BS)3(IIIc) /P.58 (03/2019) OTC Derivative Transactions and Credit Derivative Contracts (including centrally cleared trades that are treated as bilateral trades) under the Current Exposure Method (a) CCFs for OTC derivative transactions 169. An AI should classify its OTC derivative transactions into one of the following items: OTC derivative transactions CCF Residual maturity: 1 year or less Residual maturity: Over 1 year to 5 years Residual maturity: Over 5 years

1. Exchange rate contracts48 1.0% 5.0% 7.5%
2. Interest rate contracts 0.0% 0.5% 1.5%
3. Equity contracts 6.0% 8.0% 10.0%
4. Precious metal contracts 7.0% 7.0% 8.0%
5. Debt security contracts or other commodity contracts 10.0% 12.0% 15.0%
6. For contracts with multiple exchanges of principal, the CCFs to be used are to be multiplied by the number of remaining payments in the contract.
7. For contracts structured to settle outstanding exposure on specified payment dates and where the terms are reset such that the market value of the contract is zero on these dates, the residual maturity should be set equal to the time until the next reset date. In the case of interest rate contracts that meet these criteria and the remaining time to final maturity of the contracts is more than one year, the CCF is subject to a floor of 0.5%. (b) CCFs for credit derivative contracts in the trading book
8. An AI should classify its credit derivative contracts that are booked in the trading book into one of the following items according to the role of the AI in the contract (i.e. protection buyer or protection seller) and the credit quality of the reference obligation:

48 Forward exchange rate contracts arising from swap deposit arrangements can be excluded from the calculation of risk-weighted amount. Under such contracts, the money deposited by the customer remains under the control of the AI at all times during the transaction, and the AI will be in a position to ensure that the customer does not default on the settlement of the forward contract.

MA(BS)3(IIIc) /P.59 (03/2019) Credit derivative contracts in the trading book CCF Protection buyer Protection seller

1. Total return swap a. Qualifying reference obligation 5% 5% b. Non-qualifying reference obligation 10% 10%
2. Credit default swap a. Qualifying reference obligation 5% 5%* b. Non-qualifying reference obligation 10% 10%* There will be no difference depending on residual maturity. The definition of “qualifying” is the same as for the “qualifying” class for the treatment of specific risk under the STM approach for market risk as described in the completion instructions of Form MA(BS)3(IV).

• The protection seller of a credit default swap is only subject to the add-on factor where it is subject to close-out upon the insolvency of the protection buyer while the position in the underlying exposure is still solvent. Add-on amount should be capped at the amount of unpaid premium.

173. Where the credit derivative contract is a first-to-default credit derivative contract linked to a basket of reference obligations, the CCF of non-qualifying reference obligations will be used if there is at least one non-qualifying reference obligation in the basket of reference obligations; otherwise, the CCF of qualifying reference obligations should be applied. For second-to-default credit derivative contract, the CCF of non-qualifying reference obligations will be used if there are at least two non￾qualifying reference obligations in the basket; otherwise, the CCF of qualifying reference obligations should be applied. The same principle applies to other subsequent-to-default credit derivative contracts. (c) CCFs for other OTC derivative transactions and credit derivative contracts not specified under subsections (a) and (b)
174. An AI should treat an OTC derivative transaction or a credit derivative contract that is not specified under subsections (a) and (b) above as if it fell within item 5 of paragraph 169 and apply the relevant CCF specified under that item, unless a CCF applicable to the exposure is specified in Part 2 of Schedule 1 to the Rules. (d) Calculation of EAD
175. As under the STC approach, an AI using the IRB approach should calculate the default risk exposures in respect of its OTC derivative transactions and credit derivative contracts under the current exposure method by determining the credit

MA(BS)3(IIIc) /P.60 (03/2019) equivalent amount of each OTC derivative transaction and credit derivative contract, which is the sum of: (i) current exposure, which is the replacement cost (obtained by “marking to market”) of each derivative contract that has a positive value (where a contract has a negative value, its current exposure should be taken as zero); and (ii) potential exposure (i.e. the add-on), which is derived by multiplying the principal amount of the contract by the applicable CCF. 176. For single-currency floating / floating interest rate swap contracts, the current exposures of these swap contracts should be taken as their credit equivalent amounts. 177. For all derivative contracts, the calculation of the potential exposure should be based on the effective notional amount which reflects the actual risk inherent in the contract. For example, where the contract provides for the multiplication of cash flows as in leveraged derivative contracts, the notional amount should be adjusted to take into account this leveraged effect. 178. The default risk exposure in respect of a derivative contract should be adjusted for the risk mitigating effects of any recognized netting (see paragraphs 198 to 200). 179. If an exposure arising from an OTC derivative transaction or credit derivative contract falls within section 226Z of the Rules, an AI that calculates the default risk exposures using methods other than the IMM(CCR) approach may multiply the default risk exposure so calculated by the applicable scaling factor specified in section 226Z(4) of the Rules. 180. Where an AI enters into no less than one OTC derivative transaction or credit derivative contract with a counterparty, the applicable default risk exposure in respect of the transactions and contracts with that counterparty (the outstanding default risk exposure) is the greater of : (i) zero; or (ii) the difference between – (A) the sum of default risk exposures across all netting sets with the counterparty; and (B) the CVA loss in respect of that counterparty. (e) Calculation of risk-weighted amount 181. The CEM risk-weighted amount in respect of OTC derivative transactions and credit derivative contracts of an AI is the sum of the default risk risk-weighted amounts for all the counterparties to the contracts where the default risk risk-weighted amount for each of the counterparties is calculated as the product of- (i) the outstanding default risk exposure to the counterparty as calculated under paragraph 180; and

MA(BS)3(IIIc) /P.61 (03/2019) (ii) the applicable risk-weight to the exposure derived from the risk-weight function for the IRB class/subclass within which the counterparty of the exposure falls. 182. For the calculation of the risk-weighted amount for LSTs arising from OTC derivative transactions and credit derivative contracts, an AI may determine the relevant risk￾weight using the STC approach on a permanent basis. OTC derivative transactions, credit derivative contracts and SFTs (including centrally cleared trades that are treated as bilateral trades) under the IMM(CCR) approach (a) Calculation of EAD and risk-weighted amount 183. An AI may use the IMM(CCR) approach to calculate the default risk exposures in respect of bilateral trades (including centrally cleared trades that are treated as bilateral trades) arising from OTC derivative transactions, credit derivative contracts and SFTs (including any LST arising from those transactions or contracts) if it has an IMM(CCR) approval for those transactions, contracts or LSTs, as the case may be. 184. An AI must calculate - (i) the portfolio-level risk-weighted amount of the relevant exposures based on current market data in accordance with sections 226D(1)(a) and (2)(a) of the Rules; and (ii) the portfolio-level risk-weighted amount of the relevant exposures based on stress calibration in accordance with sections 226D(1)(b), (2)(b) and (3) of the Rules. 185. For the calculation of the risk-weighted amounts referred to in paragraph 184(i) and (ii) in respect of LSTs arising from OTC derivative transactions, credit derivative contracts and SFTs, an AI may determine the relevant risk-weight using the STC approach on a permanent basis. 186. The higher of the portfolio-level risk-weighted amount calculated under paragraph 184(i) and (ii) is the IMM(CCR) risk-weighted amount in respect of the OTC derivative transactions, credit derivative contracts and SFTs of the AI that are covered by its IMM(CCR) approval. Accordingly, the default risk exposures of the OTC derivative transactions, credit derivative contracts and SFTs to be reported in Form IRB_OBSD_IMM are those calculated in accordance with sections 226E to 226M of the Rules that give rise to the IMM(CCR) risk-weighted amount (i.e. the higher of the number calculated under paragraph 184(i) and (ii)).

MA(BS)3(IIIc) /P.62 (03/2019) XIII. Credit Risk Mitigation (A) General 187. Subject to paragraphs 189 and 190, under the IRB approach, an AI may take into account the effect of recognized credit risk mitigation in its calculation of risk￾weighted amount of exposures, including: (i) recognized collateral; (ii) recognized netting; and (iii) recognized guarantees and recognized credit derivative contracts. 188. The risk-weighted amount of an AI’s exposure in respect of which recognized credit risk mitigation has been taken into account shall not be higher than that of an identical exposure in respect of which recognized credit risk mitigation has not been so taken into account. 189. An AI must not take into account the effect of recognized credit risk mitigation in accordance with Division 10 of Part 6 of the Rules in calculating the risk-weighted amount of its exposures to the extent that the credit risk mitigating effect concerned has already been taken into account in the AI’s calculation of the risk-weighted amount for its exposures in accordance with the Rules other than that Division. 190. Where an AI has bought credit protection for an exposure and the credit protection is in the form of a single-name credit default swap that falls within section 226J(1) of the Rules, the AI must not take into account the credit risk mitigating effect of that swap when calculating the risk-weighted amount of the exposure. (B) Capital Treatment of Recognized Collateral 191. Under the IRB approach, collateral is recognized through the determination of LGD (see paragraphs 84 to 97 for corporate, sovereign and bank exposures and paragraphs 113 and 114 for retail exposures). (C) Capital Treatment of Recognized Netting (a) General 192. Subject to paragraph 207, where an AI is entitled pursuant to a valid bilateral netting agreement or valid cross-product netting agreement to net amounts owed by the AI to a counterparty against amounts owed by the counterparty to the AI, the AI may take into account the credit risk mitigating effect of the recognized netting in calculating the EAD of its exposure to the counterparty.

MA(BS)3(IIIc) /P.63 (03/2019) (b) EAD measurement for on-balance sheet netting 193. In respect of on-balance sheet exposures which fall within the IRB class of corporate, sovereign, bank, retail or other exposures, an AI may net the debit balances from the credit balances in the accounts of the same counterparty in accordance with the formula set out in paragraph 194 and report the net credit exposure amount as on￾balance sheet exposures before recognized guarantees/credit derivative contracts. 194. Below is the formula for calculating the net credit exposure with a counterparty for on-balance sheet exposures, adjusted for the credit risk mitigating effect of a valid bilateral netting agreement: Net credit exposure = max [0, exposures - liabilities x (1 - Hfx)] 195. Hfx is the haircut to be applied in the case of a currency mismatch between exposures and liabilities, which is 8% assuming a minimum holding period of 10 business days, daily remargining and daily marking-to-market. It should be adjusted in accordance with the provisions set out in paragraph E3 of Annex IIIb-E of the completion instructions of Form MA(BS)3(IIIb) if a different minimum holding period is adopted, or the exposure is not remargined or revalued daily as assumed. 196. Treatments for maturity mismatch in respect of on-balance sheet netting are set out in paragraphs 231 to 233. 197. In respect of sovereign exposures, the market makers of Exchange Fund Bills/Notes which have short positions in these instruments may report their net holdings, provided that the short positions are covered by the Sale and Repurchase Agreements with the HKMA. The following steps should be taken in determining the amount to be reported: (i) the long and short positions of instruments with a residual maturity of under one year may be offset with each other; (ii) the long and short positions of instruments with a residual maturity of one year and over may be offset with each other; (iii) if the net positions of both items (i) and (ii) above are long, the positions should be reported; and (iv) if the net position in item (i) is long and the net position in item (ii) is short, or the other way round, the positions can be netted with each other on a dollar for dollar basis. The resultant net long position, if any, should be reported. (c) EAD measurement for netting of OTC derivative transactions and credit derivative contracts under the current exposure method 198. An AI is allowed to net exposures arising from OTC derivative transactions and credit derivative contracts with the same counterparty, provided that such exposures are

MA(BS)3(IIIc) /P.64 (03/2019) subject to a valid bilateral netting agreement. The netting agreement may cover only a single type or more than one type of contracts or transactions. The recognition of the credit risk mitigating effect of a valid cross-product netting agreement is only available in respect of an AI’s transactions with a counterparty that are covered by an IMM(CCR) approval. 199. An AI is required to calculate an aggregate default risk exposure for OTC derivative transactions and credit derivative contracts subject to a valid bilateral netting arrangement and report it as the default risk exposure before recognized guarantees/credit derivative contracts. Under the current exposure method, the aggregate default risk exposure of OTC derivative transactions and credit derivative contracts subject to a valid bilateral netting agreement should be the sum of: (i) current exposure, which is the net amount of the sum of the positive and negative mark-to-market values of the individual contracts or transactions covered by a valid bilateral netting agreement, if positive; and (ii) potential exposure (the net add-on or ANet), which is derived by adding 40% of the sum of the products derived by multiplying the principal amount of each of those contracts or transactions by the CCFs and 60% of the Net/Gross Ratio (NGR) multiplied by the sum of the products derived by multiplying the principal amount of each of those contracts or transactions by the CCFs. This is expressed through the following formula: ANet = 0.4 x AGross + 0.6 x NGR x A Gross where: AGross = the sum of the individual add-on amounts (derived by multiplying the principal amount by the CCF) of all contracts or transactions covered by the valid bilateral netting agreement with the same counterparty NGR = the ratio of net replacement cost to gross replacement cost for contracts covered by the valid bilateral netting agreement 200. The NGR in the above formula can be calculated on a counterparty by counterparty or on an aggregate basis for all contracts or transactions covered by a valid bilateral netting agreement. However, the basis chosen by an AI should be used consistently. An illustration of the calculation of NGR based on the two methods is given in Annex IIIb-G of the completion instructions of Form MA(BS)3(IIIb). (d) EAD measurement for netting of repo-style transactions not under the IMM(CCR) approach 201. Where repo-style transactions are subject to a valid bilateral netting agreement, an AI may choose not to take into account the netting effects in calculating the risk￾weighted amount for such transactions. In taking into account the credit risk mitigating effects of recognized netting for repo-style transactions, the AI should

MA(BS)3(IIIc) /P.65 (03/2019) calculate the net credit exposure (E# ) using the formula below, and equate E# as the default risk exposure before recognized guarantees/credit derivative contracts. E

= Max {0, [(  (E) -  (C)) +  (Es x Hs) +  (Efx x Hfx)]} where: E

= Net credit exposure E = Current market value of money and securities sold, transferred, loaned or paid by the AI C = Current market value of money and securities received by the AI Es = Absolute value of the net position in the same securities Hs = Haircut applicable to the absolute value of the net position in the same securities (i.e. Es) pursuant to the standard supervisory haircuts for the comprehensive approach to the treatment of recognized collateral subject to adjustment as set out in section 92 of the Rules Efx = Absolute value of the net position in a currency different from the settlement currency Hfx = Haircut applicable in consequence of a currency mismatch, if any, between the currency in which a net position is denominated and the settlement currency pursuant to the standard supervisory haircuts for currency mismatch set out in Schedule 7 of the Rules subject to adjustment as set out in section 92 of the Rules 202. The AI should compare the aggregate market value of money and securities sold, transferred, loaned or paid with the aggregate market value of money and securities received, taking into account haircuts in the formula specified in paragraph 201. Where the value calculated in accordance with the formula is greater than zero, the AI has a net credit exposure to the counterparty for which capital requirement should be provided. 203. For appropriate values of haircuts to be applied, the AI should refer to Annex IIIb-E of the completion instructions of Form MA(BS)3(IIIb), which set out the standard supervisory haircuts and the circumstances requiring haircut adjustments under the comprehensive approach to treatment of collateral under the STC approach. As under the STC approach, a haircut of 0% may be applied for repo-style transactions where the criteria specified under Annex IIIb-D of the completion instructions of Form MA(BS)3(IIIb) are satisfied. 204. In general, repo-style transactions in the banking book and the trading book should be netted separately. Netting across positions in different books with the same counterparty will only be allowed if: (i) all transactions are marked-to-market daily; and (ii) the collateral used in the transactions is recognized collateral for transactions booked in the banking book.

MA(BS)3(IIIc) /P.66 (03/2019) 205. Where the AI has been approved for using internal models to measure market risk for capital adequacy purposes, it may, subject to the prior consent of the MA, use a VaR approach as an alternative to the use of standard supervisory haircuts, to reflect the price volatility of the exposure and collateral for repo-style transactions covered by valid bilateral netting agreements on a counterparty-by-counterparty basis. The criteria for using the VaR approach and the related capital treatments are set out in Annex IIIb-F of the completion instructions of Form MA(BS)3(IIIb). 206. For corporate, sovereign and bank exposures under the foundation IRB approach, the impact of collateral on these repo-style transactions may not be reflected through an adjustment to LGD. Under the advanced IRB approach, own LGD estimates would be permitted for the unsecured net exposure amount (E# ). The risk-weight of the net exposure amount will be determined using the risk-weight function applicable for that particular IRB class/subclass. For LSTs arising from repo-style transactions, an AI may determine the relevant risk-weight using the STC approach on a permanent basis. (e) EAD measurement for netting of OTC derivative transactions, credit derivative contacts and SFTs under the IMM(CCR) approach 207. An AI that uses the IMM(CCR) approach to calculate the EAD of a netting set that contains OTC derivative transactions, credit derivative contacts or SFTs should take into account the effect of any recognized netting in respect of the transactions or contracts concerned in the manner set out in Part 6A of the Rules instead of as stated above except for transactions for which the AI is permitted under section 10B(5), or has chosen under section 10B(7), of the Rules to use the methods referred to in section 10A(1)(b) of the Rules. (D) Capital Treatment of Recognized Guarantees and Recognized Credit Derivative Contracts 208. Under the IRB approach, an AI may use the substitution framework to take into account the credit risk mitigating effects of recognized guarantees and recognized credit derivative contracts in calculating the risk-weighted amount of an exposure. Alternatively, an AI may use the double default framework to take into account the credit risk mitigating effect of a recognized guarantee or recognized credit derivative contract for each exposure which meets the requirements for using the double default framework. 209. If a recognized guarantee is provided to an AI or a recognized credit derivative contract is entered into by the AI, and the AI does not use the IRB approach to calculate its credit risk for exposures to the guarantor or counterparty, the AI should not take into account the credit risk mitigating effect of the guarantee or contract, in calculating, under the IRB approach, the risk-weighted amount of the exposure which is covered by the guarantee or contract. 210. Consistent with the STC approach, an AI may choose not to take into account the

MA(BS)3(IIIc) /P.67 (03/2019) credit risk mitigating effects of guarantees and credit derivative contracts under the substitution framework or the double default framework, if doing so would result in a higher risk-weighted amount. 211. An AI should have in place clearly documented criteria, methods and processes for taking into account the credit risk mitigating effect of recognized guarantees and recognized credit derivative contracts, and the effects should be taken into account consistently both for a given type of recognized guarantee or recognized credit derivative contract and over time. 212. In respect of credit derivative contracts, only credit default swaps and total return swaps that provide credit protection will be recognized. However, where an AI buys the credit protection through a total return swap and records the net payments received on the swap as net income, but does not record offsetting deterioration in the value of the asset that is protected (either through reductions in fair value or by an addition to reserves or provisions), the credit protection will not be recognized. Credit-linked notes issued by the AI which fulfil the operational requirements for credit derivative contracts will be treated as cash collateralized transactions (see paragraph 153). Corporate, Sovereign and Bank Exposures (a) Substitution framework 213. Under the substitution framework, there are two approaches for taking into account the credit risk mitigating effect of recognized guarantees and recognized credit derivative contracts: (i) the foundation IRB approach and (ii) the advanced IRB approach. Under the substitution framework, credit risk mitigation in the form of guarantees and credit derivative contracts should not reflect the effect of double default. As such, to the extent that the credit risk mitigation is recognized by an AI, the adjusted risk-weight will not be less than that of a comparable direct exposure to the credit protection provider except where a case falls within paragraph 215(ii) or 219. Foundation IRB Approach 214. For an AI using the foundation IRB approach, the treatment of recognized guarantees and recognized credit derivative contracts closely follows that under the comprehensive approach to the treatment of the same under the STC approach. 215. The credit risk mitigating effect of recognized guarantees and credit derivative contracts is taken into account as follows: (i) for the covered portion of the exposure, subject to subparagraph (ii), a risk￾weight is derived by taking the risk-weight function applicable to the IRB class/subclass to which the credit protection provider belongs, and the PD associated with the internal obligor grade of the credit protection provider or the

MA(BS)3(IIIc) /P.68 (03/2019) PD of an obligor grade falling between the internal obligor grades of the underlying obligor and the credit protection provider if the AI considers that a full substitution treatment may not be warranted. Where a portion of the exposure is covered by a recognized guarantee (original guarantee) and is the subject of a counter-guarantee given by a sovereign, the AI may, in respect of the credit protection covered portion, treat the counter-guarantee as if it were the original guarantee if the criteria set out in section 216(3A) or 217(4) of the Rules, as the case may be, are met; (ii) where an exposure of the AI is covered by a recognized credit derivative contract cleared by a qualifying CCP, the AI may allocate to the covered portion of the exposure (a) a risk-weight of 2% if the requirements of section 216(3B)(a) of the Rules are met; or (b) a risk-weight of 4% if the requirements of section 216(3B)(b) of the Rules are met; (iii) the AI may replace the LGD of the underlying exposure with the LGD applicable to the guarantee/credit derivative contract taking into account the seniority and any recognized collateral of the credit protection; (iv) the uncovered portion of the exposure is assigned the risk-weight associated with the underlying obligor; and (v) an AI should allocate a risk-weight of 1250% to the first loss portion in determining the risk-weighted amount where the credit protection for an AI’s exposure consists of a recognized credit derivative contract providing that, on the happening of a credit event, the credit protection provider is not obliged to make a payment for any loss until the loss exceeds a specified amount (i.e. the first loss portion) and the credit protection provider is not obliged to make a payment for any loss except to the extent that the loss exceeds the first loss portion. 216. Where partial coverage exists, or where there is a currency mismatch or maturity mismatch between the underlying obligation and the credit protection, an AI should split the exposure into a covered and an uncovered portion as follows: (i) proportional cover – Where the amount guaranteed, or against which credit protection is held, is less than the amount of the exposure, and the secured and unsecured portions are of equal seniority (i.e. the AI and the credit protection provider share losses on a pro-rata basis), capital relief will be afforded on a proportional basis. That means the protected portion of the exposure will receive the treatment applicable to recognized guarantees/credit derivative contracts, with the remainder treated as unsecured. (ii) tranched cover – If the institution has obtained tranched credit protection for its exposure, it must decompose the exposure into a protected sub-tranche and an unprotected sub-tranche, and determine the risk-weighted amount of the exposure in accordance with Part 7 of the Rules.

MA(BS)3(IIIc) /P.69 (03/2019) (iii) currency mismatch / maturity mismatch – The treatment of currency mismatch is set out in paragraphs 229 and 230 and that of maturity mismatch is set out in paragraphs 231 to 233. Advanced IRB Approach 217. Subject to paragraph 219, an AI using the advanced IRB approach may reflect the credit risk mitigating effect of recognized guarantees and recognized credit derivative contracts through adjusting either PD or LGD estimates. Whether adjustments are done through PD or LGD, they should be done in a consistent manner for a given type of guarantees or credit derivative contracts. In doing so, the AI should not include the effect of double default in such adjustments. Thus, the adjusted risk-weight should not be less than that of a comparable direct exposure to the credit protection provider. 218. An AI relying on its own estimates of LGD has the option to adopt the treatment for AIs using the foundation IRB approach (see paragraphs 214 to 216), or to make an adjustment to its LGD estimate of the exposure to reflect the presence of the recognized guarantee/credit derivative contract under the advanced IRB approach. 219. Where an exposure of the AI is covered by a recognized credit derivative contract cleared by a qualifying CCP, the AI may allocate to the covered portion of the exposure (a) a risk-weight of 2% if the requirements of section 217(5)(a) of the Rules are met; or (b) a risk-weight of 4% if the requirements of section 217(5)(b) of the Rules are met. (b) Double default framework 220. Corporate exposures (excluding specialized lending under supervisory slotting criteria approach) or public sector entity exposures (excluding exposures to sovereign foreign public sector entities) that are hedged by recognized guarantees/credit derivative contracts and satisfy the relevant requirements as set out in the Rules are eligible for the double default framework for recognition of the credit risk mitigating effect. 221. The risk-weighted amount of hedged exposures should be calculated according to the risk-weight function set out in paragraph 62 (and, where applicable, adjusted by paragraph 66(ii) in respect of SME corporates; paragraph 67 in respect of exposures to financial institutions that are subject to the asset value correlation multiplier; or paragraph 73(i) in respect of HVCRE exposures). The risk-weighted amount of the unhedged exposure should be calculated in the same way as for all other corporate exposures to the same obligor of the underlying exposure according to the risk-weight function set out in paragraph 60 (and, where applicable, adjusted by paragraph 66(i) in respect of SME corporates; paragraph 67 in respect of exposures to financial institutions that are subject to the asset value correlation multiplier; or paragraph 73(i) in respect of HVCRE exposures). Retail Exposures 222. An AI using the retail IRB approach may use the substitution framework as set out in

MA(BS)3(IIIc) /P.70 (03/2019) paragraphs 217 to 219 to take account of the credit risk mitigating effects of recognized guarantees and recognized credit derivative contracts in calculating the risk-weighted amount of a retail exposure. Equity Exposures 223. An AI using the PD/LGD approach may use the substitution approach set out in paragraphs 214 to 216 to take account of the credit risk mitigating effects of recognized guarantees and recognized credit derivative contracts in calculating the risk-weighted amount of an equity exposure. Purchased Receivables 224. For both purchased corporate and retail receivables, recognized guarantees and recognized credit derivative contracts under the substitution framework will be recognized generally using the substitution framework as set out in paragraphs 214 to 219, without regard to whether the guarantee or contract, as the case may be, covers default risk or dilution risk, or both. 225. If the recognized guarantee/credit derivative contract covers both the purchased receivable’s default risk and dilution risk, an AI should substitute the risk-weight of the exposure to the credit protection provider for the sum of the purchased receivable’s risk-weights for default risk and dilution risk which would otherwise be allocated to the exposure in respect of the purchased receivable in accordance with paragraphs 137 to 142. 226. If the recognized guarantee/credit derivative contract covers only default risk or dilution risk, but not both, an AI should substitute the risk-weight of the exposure to the credit protection provider for the risk-weight which would otherwise be allocated in respect of the default risk or dilution risk, as the case may be, covered by the guarantee/contract for the purpose of calculating the risk-weighted amount of the AI’s exposure for default risk or dilution risk, as the case may be, in respect of the purchased receivable. The risk-weighted amount of the purchased receivable for the other risk component (being default risk or dilution risk not covered by the guarantee/contract, as the case may be), will then be added. 227. If the recognized guarantee/credit derivative contract covers only a portion of the default risk and/or dilution risk, an AI should divide the exposure into a covered portion and an uncovered portion for the default risk and dilution risk in accordance with paragraph 216 for proportional or tranched coverage. An AI should calculate the risk-weighted amount of the uncovered portion of the exposure in respect of default risk and dilution risk in accordance with paragraphs 137 to 142 and the risk-weighted amount of the covered portion of the exposure in respect of default risk and dilution risk in accordance with paragraph 225. 228. If the recognized guarantee/credit derivative contract covers only the dilution risk in respect of a purchased corporate receivable and the exposure meets the requirements set out in the Rules, an AI may use the double default framework to calculate the risk-

MA(BS)3(IIIc) /P.71 (03/2019) weighted amount for dilution risk of the hedged exposure. In this case, paragraph 62 (and, where applicable, adjusted by paragraph 66(ii) in respect of SME corporates; paragraph 67 in respect of exposures to financial institutions that are subject to the asset value correlation multiplier; or paragraph 73(i) in respect of HVCRE exposures) apply with PDo equal to the estimated EL for dilution risk, LGDg equal to 100%, and M set according to paragraph 107. (E) Currency Mismatches 229. Where a foreign currency mismatch occurs, i.e. when the credit protection is denominated in a currency different from that of the underlying obligation, the portion covered by the credit protection should be reduced by a standard haircut of 8%. Ga = G x (1 - Hfx) where: Ga= Credit protection covered portion adjusted for currency mismatch G = Maximum amount payable to the AI under the credit protection Hfx= Haircut applicable for currency mismatch between the credit protection and underlying obligation pursuant to the standard supervisory haircuts for the comprehensive approach to the treatment of recognized collateral subject to adjustment as set out in section 92 of the Rules 230. The 8% haircut is based on a 10-business day holding period, daily remargining and daily marking-to-market. This haircut has to be adjusted in accordance with Annex IIIb-E of the completion instructions of Form MA(BS)3(IIIb) when the minimum holding period or the mark-to-market frequency of the transactions is different from that of the standard supervisory haircut. (F) Maturity Mismatches 231. The maturity of both the underlying exposure and the credit protection (i.e. on￾balance sheet netting, recognized collateral, guarantees and credit derivative contracts) should be defined conservatively. The effective maturity of the underlying exposure should be regarded as the longest possible remaining time before the obligor is scheduled to fulfil its obligation, taking into account any applicable grace period. For the credit protection, embedded options which may reduce the term of the credit protection should be taken into account such that the shortest possible effective maturity should be considered. Where a call is at the discretion of the protection provider, the maturity will always be the first call date. If the call is at the discretion of the AI as the protection buyer but the terms of the arrangement of obligation of the hedge contain a positive incentive for the buyer to call the transaction before contractual maturity, the remaining time to the first call date will be deemed to be the effective maturity.

MA(BS)3(IIIc) /P.72 (03/2019) 232. A maturity mismatch occurs where the residual maturity of the credit protection is shorter than that of the underlying exposure. The credit protection will be recognized when the hedge has an original maturity of longer than or equal to one year. As a result, the maturity of hedges for exposures with original maturities of less than one year must be matched to be recognized. In all cases, hedges with maturity mismatches will no longer be recognized when the hedges have a residual maturity of three months or less. 233. Where a recognized maturity mismatch exists, the value of the credit protection should be adjusted as follows: Pa = P x (t - 0.25) / (T - 0.25) where: Pa = Value of credit protection adjusted for maturity mismatch P = Value of credit protection adjusted for haircuts for price volatility of collateral and currency mismatch (if applicable) t = min (T, residual maturity of credit protection) expressed in years T = min (5, residual maturity of the underlying exposure) expressed in years XIV. Application of Scaling Factor 234. In determining the total risk-weighted amount under the IRB approach, the MA will apply a scaling factor (which could be either greater than or less than one) to the risk￾weighted amount calculated for all IRB classes under the IRB approach (which does not apply to the CVA risk-weighted amount reported in Form MA(BS)3(IIIf)) (see also paragraph 42(iv)). The use of this scaling factor is to broadly maintain the aggregate level of minimum capital requirements derived from the revised capital adequacy framework. 235. The current best estimate of the scaling factor is 1.06. In applying this scaling factor, an AI should multiply the risk-weighted amount calculated under the IRB approach (which does not apply to the CVA risk-weighted amount reported in Form MA(BS)3(IIIf)) by 1.06 for the computation of the capital adequacy ratio.

MA(BS)3(IIIc) /P.73 (03/2019) Section C: Treatment of Expected Losses and Eligible Provisions under IRB Approach I. Determination of Total EL Amount 236. An AI should sum the EL amount (i.e. EL x EAD) attributed to its corporate, sovereign, bank and retail exposures (excluding hedged exposures under the double default framework49) that are subject to the IRB approach to obtain a total EL amount. (A) EL for Exposures other than SL under Supervisory Slotting Criteria Approach 237. An AI should calculate the EL as PD x LGD for corporate, sovereign, bank and retail exposures which are not in default and not treated as hedged exposures under the double default framework. For corporate, sovereign, bank and retail exposures that are in default, an AI should use its best estimate of EL. (B) EL for SL under Supervisory Slotting Criteria Approach 238. For SL under supervisory slotting criteria approach, EL amount is determined by multiplying by 8% the risk-weighted amount produced from the appropriate risk￾weights as specified below: Remaining maturity Strong Good Satisfactory Weak Default SL (other than HVCRE exposures) Equal or more than 2.5 years 5% 10% 35% 100% 625% Less than 2.5 years 0% 5% 35% 100% 625% HVCRE exposures All maturities 5% 5% 35% 100% 625% 239. Where an AI assigns preferential risk-weights to its SL under supervisory slotting criteria approach (other than HVCRE exposures and specified ADC exposures) in accordance with paragraph 76(a), then, for the purpose of calculating the risk￾weighted amount of these SL, the AI may assign preferential risk-weights of 0% and 5% to the SL which falls within the “strong” and “good” grades respectively in calculating the EL amount.

49 In general, most banks do not make provisions for the hedged portion of an exposure. Furthermore, the EL is dependent on the joint probability of default of the underlying obligor and the credit protection provider and would therefore be minimal. Under these circumstances, the EL for the hedged portion of an exposure is assumed to be zero.

MA(BS)3(IIIc) /P.74 (03/2019) II. Determination of Total Eligible Provisions 240. Total eligible provisions is defined as the sum of eligible provisions that are attributed to corporate, sovereign, bank and retail exposures (excluding hedged exposures under the double default framework) that are subject to the IRB approach, where eligible provisions means the sum of the AI’s specific provisions, partial write-offs, regulatory reserve for general banking risks and collective provisions attributed to non￾securitization exposures that are subject to the IRB approach and any discounts referred to in paragraphs 101 and 116 on the aforesaid IRB exposures that are in default, exclusive of any CVA and CVA loss. (A) A Portion of Exposures subject to STC Approach to Credit Risk 241. An AI using only the IRB approach, or both the IRB approach and the STC approach, to calculate its credit risk for non-securitization exposures, either on a transitional basis, or on a permanent basis if the exposures subject to the STC approach are exempted from the IRB approach, should determine the portion of regulatory reserve for general banking risks and collective provisions that is attributed to exposures under the STC approach, IRB approach, securitization internal ratings-based approach (SEC-IRBA), securitization external ratings-based approach (SEC-ERBA), securitization standardized approach (SEC-SA) and securitization fall-back approach (SEC-FBA). The treatment of such reserves and provisions attributed to exposures under these approaches is set out in the completion instructions of Form MA(BS)3(II) (see paragraphs 108 and 109), with elaborations on apportionment method in paragraphs 242 and 243. 242. An AI should attribute its total regulatory reserve for general banking risks and collective provisions on a pro-rata basis according to the proportion of the risk￾weighted amount calculated by using the STC approach, IRB approach, SEC-IRBA, SEC-ERBA, SEC-SA or SEC-FBA, as the case requires (which does not include the risk-weighted amount for CVA and exposures to CCPs calculated under Part 6A of the Rules). However, with the prior consent of the MA, an AI may use its own method to apportion its total regulatory reserve for general banking risks and collective provisions among the various credit risk calculation approaches. For example, when one approach to determining the risk-weighted amount (e.g. STC approach or IRB approach) is used exclusively within an entity of the AI’s consolidation group, the regulatory reserve for general banking risks and collective provisions booked within the entity using the STC approach may be attributed to exposures under the STC approach. Similarly, the regulatory reserve for general banking risks and collective provisions booked within an entity using the IRB approach may be attributed to the total eligible provisions as defined in paragraph 240. 243. The MA may, on a case-by-case basis, consider whether there are particular circumstances that justify an AI using its internal allocation methodology for allocating the reserves for general banking risks and collective provisions for recognition in capital under the STC approach, IRB approach, SEC-IRBA, SEC￾ERBA, SEC-SA and SEC-FBA. An AI should obtain the MA’s prior consent before such a method can be used.

MA(BS)3(IIIc) /P.75 (03/2019) III. Treatment of Total EL Amount and Total Eligible Provisions 244. An AI using the IRB approach should compare the amount of total eligible provisions (see paragraph 240) with the total EL amount (see paragraphs 236 to 239). 245. Where the total EL amount exceeds total eligible provisions, the AI should deduct the difference from its CET1 capital, in accordance with section 43(1)(i) of the Rules. 246. Where the total EL amount is less than total eligible provisions, the AI may include the difference in its Tier 2 capital, up to a maximum of 0.6% of the risk-weighted amount (excluding securitization exposures) calculated under the IRB approach (which does not include the risk-weighted amount for CVA and exposures to CCPs calculated under Part 6A of the Rules).

MA(BS)3(IIIc) /P.76 (03/2019) Section D: Specific Instructions FORM: IRB_TOTCRWA 247. This form gives a summary of an AI’s risk-weighted amount by IRB class/subclass calculated under the IRB approach and the risk-weighted amount for CVA calculated under Division 3 of Part 6A of the Rules (but excluding securitization exposures and exposures to CCPs calculated under Part 7 and Division 4 of Part 6A of the Rules respectively) and shows the effect of the scaling factor. Item Nature of item Items 1 to 6 Number of Corresponding Forms Reported under Division B (Column 1) For each IRB subclass, indicate the number of forms reported in Division B from which the figures reported under column (2) or (3) can be referred. If more than one form has been filed in Division B for an IRB subclass (see paragraphs 11 and 12), an AI should indicate the total number of forms reported for that particular IRB subclass. For example, under item 4, if an AI reports one form for RM to individuals, two forms for QRRE and two forms for other retail exposures to individuals, the AI should then report in column (1):

• for item 4(a)(i): (1) Form IRB_RETAIL
• for item 4(b): (2) Form IRB_RETAIL
• for item 4(d): (2) Form IRB_RETAIL Risk-weighted amount (Columns (2)-(4)) Report the risk-weighted amount of the IRB classes/subclasses under the IRB approach. Item 7 Total risk-weighted amount for credit risk (IRB approach) before applying the scaling factor This is the sum of items 1 to 6. Item 8 Total risk-weighted amount for credit risk (IRB approach) after applying the scaling factor In calculating the total risk-weighted amount under the IRB approach, an AI should apply a scaling factor specified by the MA to the risk-weighted amount calculated under the IRB approach (i.e. item 7). The current best estimate of the scaling factor is 1.06. Item 9 Risk-weighted amount for CVA This is the sum of the risk-weighted amounts for CVA reported under Divisions A and B of Form MA(BS)3(IIIf). Item 10 Total risk-weighted amount for credit risk (IRB Approach plus CVA) This amount equals to the sum of items 8 and 9. This is also the figure

MA(BS)3(IIIc) /P.77 (03/2019) reported in item 2.3 of Division A of Form MA(BS)3(I). A partial breakdown of the aggregate risk-weighted amount (before applying the scaling factor) is provided :

• Item 10(a): the risk-weighted amount of default risk exposures in respect of OTC derivative transactions, credit derivative contracts and SFTs that are not subject to the IMM(CCR) approach;
• Item 10(b): the risk-weighted amount of default risk exposures in respect of OTC derivative transactions, credit derivative contracts and SFTs that are subject to the IMM(CCR) approach; and
• Item 10(c): the risk-weighted amount of exposures to financial institutions that are subject to the asset value correlation multiplier. FORM: IRB_CSB

248. This form is used for reporting the risk-weighted amount and credit risk components of corporate, bank and sovereign exposures (except SL under supervisory slotting criteria approach which should be reported in Form IRB_SLSLOT 50 ). In each reporting form, an AI should state whether the foundation IRB approach or advanced IRB approach is used, the IRB class and subclass for which the form is completed, and the portfolio type when more than one form is reported for an IRB subclass. Item Nature of item Columns (1) & (2) Internal rating system An AI using the IRB approach is required to have a minimum of seven grades for non-defaulted obligors and one for defaulted obligors in its internal rating systems. The AI can insert additional grades into column (1) if its internal obligor grades are more than eight. Under column (2), enter “N” for a non-defaulted obligor grade and “D” for a defaulted obligor grade. The obligor grades should be presented in an ascending order of their associated average PD. For consistency purposes, an AI should report every obligor grade within its internal rating systems in each form even though there is no exposure falling within a particular obligor grade. Columns (3), (4) & (5) PD range An AI should report a distribution of PD bands as is currently used for internal purposes. For each obligor grade, report the average PD (in percentage) under column (5). This estimate will be used for calculation of the risk-weighted amount for each exposure. The average PD for corporate, sovereign and bank exposures that are not in default is the PD associated with the internal obligor grade to which that

50 To avoid doubt, this means that an AI should capture its HVCRE exposures under the foundation IRB approach or advanced IRB approach in Form IRB_CSB, and those under the supervisory slotting criteria approach in Form IRB_SLSLOT.

MA(BS)3(IIIc) /P.78 (03/2019) Item Nature of item exposure is assigned, with a PD floor for corporate and bank exposures of 0.03%. For defaulted exposures, the average PD for corporate, sovereign and bank exposures is 100%. Report the lower bound and upper bound of the PD band for each obligor grade under columns (3) and (4) respectively. The average PD must lie between the lower and upper boundaries. Where an AI uses a single PD estimate for each obligor grade (i.e. no PD range), it should enter the same PD estimate as the upper and lower bounds of the range (i.e. the same PD estimates for all columns (3), (4) and (5)). In cases where an AI calculates its risk-weighted amount for both default risk and dilution risk of its purchased corporate receivables, only the PD estimate for default risk should be reported. Columns (6) to (11) EAD calculation For each obligor grade, give a breakdown of the exposures before recognized guarantees/credit derivative contracts by:

• for columns (6)(i) and (6)(ii): on-balance sheet exposures before and after netting (if not covered by a valid bilateral netting agreement, the gross amount of an exposure should be reported in both columns)
• for column (7): off-balance sheet exposures (Other than OTC derivative transactions, credit derivative contracts and SFTs)
• for column (8): OTC derivative transactions, credit derivative contracts and SFTs (after adjusting for the credit risk mitigating effect of a valid bilateral netting agreement or valid cross-product netting agreement, if any) An AI is required to provide the breakdown of the EAD derivation of off￾balance sheet exposures in Division D for exposures other than OTC derivative transactions, credit derivative contracts and SFTs, and Division E for OTC derivative transactions, credit derivative contracts and SFTs. Specific reporting requirements for off-balance sheet exposures are given in the specific instructions for Form IRB_OBSND, Form IRB_OBSD_N_IMM and Form IRB_OBSD_IMM. Exposures with guarantees/credit derivative contracts recognized under the substitution framework should be reported as follows: Foundation IRB approach (i) Identify the IRB subclass of an exposure and report the amount of the exposure before recognized guarantees/credit derivative contracts under columns (6) to (8) in the grade applicable to the PD estimate of the underlying obligor. (ii) Divide the exposure amount into two portions: (a) the portion covered by credit protection and (b) the remaining uncovered portion.

MA(BS)3(IIIc) /P.79 (03/2019) Item Nature of item (iii) Report the uncovered portion as “Exposures after recognized guarantees/credit derivative contracts” under columns (9) to (11) of the same form, in the grade applicable to the PD estimate of the underlying obligor. (iv) Report the secured portion as “Exposures after recognized guarantees/credit derivative contracts” under columns (9) to (11) of the form for the IRB subclass applicable for the credit protection provider and in the grade applicable to the PD estimate of the credit protection provider (i.e. PD substitution). Advanced IRB approach (i) Identify the IRB subclass of an exposure and report the amount of the exposure before recognized guarantees/credit derivative contracts under columns (6) to (8) in the grade applicable to the PD estimate of the underlying obligor. (ii) Where the risk mitigating effects are addressed through

• PD substitution: report in the way similar to the foundation IRB approach;
• adjusting the PD estimate of the obligor: report the same exposure amount under columns (9) to (11) of the same form in a grade applicable to the adjusted PD estimate of the underlying obligor; or
• adjusting the LGD estimate: report the same exposure amount under columns (9) to (11) of the same form and in the grade applicable to the PD estimate of the underlying obligor. Exposures with guarantees/credit derivative contracts recognized under the double default framework should be reported as follows: (i) Identify the IRB subclass of an exposure and report the amount of the exposure before recognized guarantees/credit derivative contracts under columns (6) to (8) in the grade applicable to the PD estimate of the underlying obligor. (ii) Divide the exposure amount into two portions: (a) the hedged portion covered by credit protection and (b) the remaining unhedged portion. In respect of the hedged portion, the risk￾weighted amount should be calculated according to the risk-weight function set out in paragraph 62 (or, where applicable, adjusted by paragraph 66(ii) in respect of SME corporates; paragraph 67 in respect of exposures to financial institutions that are subject to the asset value correlation multiplier; or paragraph 73(i) in respect of HVCRE exposures). The risk-weighted amount of the unhedged exposure should be calculated in the same way as for all other corporate exposures to the same obligor of the underlying

MA(BS)3(IIIc) /P.80 (03/2019) Item Nature of item exposure according to the risk-weight function set out in paragraph 60 (or, where applicable, adjusted by paragraph 66(i) in respect of SME corporates; paragraph 67 in respect of exposures to financial institutions that are subject to the asset value correlation multiplier; or paragraph 73(i) in respect of HVCRE exposures). (iii) Report both hedged and unhedged portions as “Exposures after recognized guarantees/credit derivative contracts” under columns (9) to (11) of the same form in the grade applicable to the PD estimate of the underlying obligor. Defaulted exposures cannot be subject to the double default framework. In case the underlying obligor of a hedged exposure defaults, such exposure should be treated as a direct exposure to the credit protection provider and then risk-weighted accordingly. Conversely, if the credit protection provider of a hedged exposure defaults, such exposure should remain with the underlying obligor and should be risk-weighted as an unhedged exposure to the underlying obligor. In case both the underlying obligor and the credit protection provider of a hedged exposure default, such exposure should be treated as a defaulted exposure to either the underlying obligor or the credit protection provider, depending on which party defaulted last. For exposures without recognized guarantees/credit derivative contracts or without taking into account the credit risk mitigating effect of recognized guarantees/credit derivative contracts, the same exposure amount should be entered in both columns (6)(ii) to (8) and (9) to (11). Column (12) EAD This is the sum of columns (9) to (11), which is the EAD figure for calculating the risk-weighted amount of an exposure. Column (13) Exposure weighted average LGD LGD is reported in percentage. Exposure weighted average LGD =  i LGDi x EAD i /  i EAD i where: LGDi = the LGD associated with the ith exposure in a grade. EADi = the EAD associated with the ith exposure allocated to a grade. The percentage reported in column (13) should agree with column (12) of Form IRB_FIRBLGD or column (19) of Form IRB_AIRBLGD, where applicable.

MA(BS)3(IIIc) /P.81 (03/2019) Item Nature of item Column (14) Exposure weighted average maturity value M is reported in years. Exposure weighted average maturity value =  i Mi x EAD i /  i EAD i where: MI = the M associated with the ith exposure in a grade. EADi = the EAD associated with the ith exposure allocated to a grade. Columns (15) to (18) Risk-weighted amount Calculate the risk-weighted amount of each exposure and report the sum of risk-weighted amount (including the risk-weighted amount under the double default framework and for dilution risk and residual value risk, where applicable) for each obligor grade under column (15). Report under column (16) the risk-weighted amount of hedged exposures that are calculated according to the risk-weight function set out in paragraph 62 (or, where applicable, adjusted by paragraph 66(ii) in respect of SME corporates; paragraph 67 in respect of exposures to financial institutions that are subject to the asset value correlation multiplier; or paragraph 73(i) in respect of HVCRE exposures) under the double default framework. Report under column (17) the risk-weighted amount for dilution risk for purchased receivables. Report under column (18) the risk-weighted amount for residual value risk for leasing transactions. Columns (19) & (20) Memorandum items Report under column (19) the sum of the expected loss amount of exposures for each obligor grade. Report under column (20) the total number of obligors and credit protection providers for the exposures reported in column (12) for each obligor grade. Columns (6) to (12), & (15) to (20) Exposures subject to asset value correlation multiplier Report under columns (6) to (12) and (15) to (20) the AI’s exposures to financial institutions that are subject to the asset value correlation multiplier. FORM: IRB_SLSLOT 249. This form is used for reporting SL under supervisory slotting criteria approach. In each reporting form, an AI should specify the SL subclass for which the form is completed.

MA(BS)3(IIIc) /P.82 (03/2019) Item Nature of item Columns (1) & (2) Internal rating system An AI using the supervisory slotting criteria approach for SL is required to map its internal grades for the SL into five supervisory rating grades: “strong”, “good”, “satisfactory”, “weak” and “default”, each of which is assigned a supervisory risk-weight (SRW) as given in column (2), whilst the values of SRWs displayed depend on the IRB subclass selected for input:

• when an IRB subclass other than “specialized lending (high-volatility commercial real estate)” is selected for input, column (2) will show the SRWs applicable to specialized lending (other than HVCRE exposures) as set out in column (A) of the table below;
• when the IRB subclass of “specialized lending (high-volatility commercial real estate)” is selected for input, column (2) will show the SRWs applicable to HVCRE exposures, as set out in column (B) of the table below. Supervisory rating grades SRW (%) applicable to SL (other than HVCRE exposures) (A) SRW (%) applicable to HVCRE exposures (B) STRONG (a) 50 70 STRONG 70 95 GOOD (a) 70 95 GOOD 90 120 SATISFACTORY 115 140 WEAK 250 250 DEFAULT 0 0 Note: Supervisory rating grades marked by “(a)” denote preferential risk-weights. The preferential risk-weights under column (A) do not apply to specified ADC exposure. Columns (3) to (8) EAD calculation For each supervisory rating grade, give a breakdown of the exposures before recognized guarantees/credit derivative contracts by:
• for columns (3)(i) and (3)(ii): on-balance sheet exposures before and after netting (if not covered by a valid bilateral netting agreement, the gross amount of an exposure should be reported in both columns)
• for column (4): off-balance sheet exposures (Other than OTC derivative transactions, credit derivative contracts and SFTs)
• for column (5): OTC derivative transactions, credit derivative contracts and SFTs (after adjusting for the credit risk mitigating effect of a valid bilateral netting agreement or valid cross-product netting agreement, if any) An AI is required to provide the breakdown of the EAD derivation of off￾balance sheet exposures in Division D for exposures other than OTC derivative transactions, credit derivative contracts and SFTs, and Division E for OTC derivative transactions, credit derivative contracts and SFTs. Specific reporting requirements for off-balance sheet exposures are given in the specific instructions for Form IRB_OBSND, Form IRB_OBSD_N_IMM and Form IRB_OBSD_IMM.

MA(BS)3(IIIc) /P.83 (03/2019) Item Nature of item Exposures with recognized guarantees/credit derivative contracts should be reported as below: (i) Identify the IRB subclass of a SL and report the exposure amount before guarantees/credit derivative contracts under columns (3) to (5) in the supervisory rating grade applicable to the obligor. (ii) Divide the exposure amount into two portions: (a) the portion secured by credit protection; and (b) the remaining unsecured portion. (iii) Report the uncovered portion as “Exposures after recognized guarantees/credit derivative contracts” under columns (6) to (8) of the same form, in the supervisory rating grade applicable to the obligor. (iv) Report the secured portion as “Exposures after recognized guarantees/credit derivative contracts” under relevant columns of the applicable form for the IRB subclass applicable for the credit protection provider and in the grade applicable to the PD estimate of the credit protection provider (i.e. PD substitution). No double default framework is available for SL under supervisory slotting criteria approach. For exposures without recognized guarantees/credit derivative contracts or without taking into account the credit risk mitigating effect of recognized guarantees/credit derivative contracts, the same exposure amount should be entered in both columns (3)(ii) to (5) and (6) to (8). Column (9) EAD This is the sum of columns (6) to (8), which is the EAD figure for calculating the risk-weighted amount of an exposure. Column (10) Exposure weighted average maturity value Specific instructions for column (14) of Form IRB_CSB apply. The supervisory estimates of M under the foundation IRB approach are not applicable to SL under supervisory slotting criteria approach. Column (11) Risk-weighted amount This is calculated as follows: SRW (column (2)) x EAD (column (9)). Columns (12) & (13) Memorandum items Report the sum of the expected loss amount of exposures for each supervisory rating grade under column (12). Report under column (13) the total number of obligors and credit protection providers for the exposures reported in column (9) for each supervisory rating grade.

MA(BS)3(IIIc) /P.84 (03/2019) FORM: IRB_RETAIL 250. This form is used for reporting the different IRB subclasses of retail exposures. In each reporting form, an AI should state the retail IRB subclass for which the form is completed, and the portfolio type when more than one form is reported for an IRB subclass. Item Nature of item Columns (1) & (2) Internal rating system There is no minimum number of pools for retail exposures. Under column (2), enter “N” for a non-defaulted pool and “D” for a defaulted pool. The pools should be presented in an ascending order of their associated average PD. For consistency purposes, an AI should report every obligor grade within its internal rating systems in each form even though there is no exposure falling within a particular obligor grade. Columns (3), (4) & (5) PD range An AI should report a distribution of PD bands as is currently used for internal purposes. For each pool (i.e. PD band), report the average PD (in percentage) under column (5). This estimate will be used for calculation of risk-weighted amount of each pool. The average PD for retail exposures that are not in default should not be less than 0.03%. For defaulted exposures, the average PD is 100%. Report the lower bound and upper bound of the PD band for each pool under columns (3) and (4) respectively. The average PD must lie between the lower and upper boundaries. Where an AI uses a PD estimate for each pool (i.e. no PD range), it should enter the same PD estimate as the upper and lower bounds of the range (i.e. the same PD estimates for all columns (3), (4) and (5)). In cases where an AI calculates its risk-weighted amount for both default risk and dilution risk of its purchased retail receivables, only the PD estimate for default risk should be reported. Columns (6) to (11) EAD Calculation For each pool, give a breakdown of the exposures before recognized guarantees/credit derivative contracts by:

• for columns (6)(i) and (6)(ii): on-balance sheet exposures before and after netting (if not covered by a valid bilateral netting agreement, the gross amount of an exposure should be reported in both columns)
• for column (7): off-balance sheet exposures (Other than OTC derivative transactions, credit derivative contracts and SFTs)
• for column (8): OTC derivative transactions, credit derivative contracts and SFTs (after adjusting for the risk mitigating effect of a valid bilateral netting agreement or valid cross-product netting agreement, if any)

MA(BS)3(IIIc) /P.85 (03/2019) Item Nature of item An AI is required to provide the breakdown of the EAD derivation of off￾balance sheet exposures in Division D for exposures other than OTC derivative transactions, credit derivative contracts and SFTs, and Division E for OTC derivative transactions, credit derivative contracts and SFTs. Specific reporting requirements for off-balance sheet exposures are given in the specific instructions for Form IRB_OBSND, Form IRB_OBSD_N_IMM and Form IRB_OBSD_IMM. Exposures with guarantees/credit derivative contracts recognized under the substitution framework should be reported as below: (i) Identify the IRB subclass of an exposure and report the amount of the exposure before recognized guarantees/credit derivative contracts under columns (6) to (8) in the pool applicable to the underlying obligor. (ii) Where the credit risk mitigating effects are addressed through adjusting the PD estimate or the LGD estimate, report the same exposure amount under columns (9) to (11) of the same form in the pool applicable to the adjusted PD/LGD estimates of the underlying obligor. For exposures without recognized guarantees/credit derivative contracts or without taking into account the credit risk mitigating effect of guarantees/credit derivative contracts, the same exposure amount should be entered in both columns 6(ii) to (8) and (9) to (11). Column (12) EAD This is the sum of columns (9) to (11), which is the EAD figure for calculating the risk-weighted amount of an exposure. Column (13) LGD LGD for a pool is measured in percentage. Column (14) to (16) Risk-weighted amount Calculate the risk-weighted amount (including dilution risk and residual value risk, where applicable) for each pool under column (14). Report under column (15) the risk-weighted amount for dilution risk for purchased receivables. Report under column (16) the risk-weighted amount for residual value risk for leases. Columns (17) & (18) Memorandum items Report under column (17) the sum of the expected loss amount of exposures for each pool.

MA(BS)3(IIIc) /P.86 (03/2019) Item Nature of item Report under column (18) the total number of obligors and credit protection providers for the exposures reported in column (12) for each pool. FORM: IRB_EQUSRW 251. This form is used for reporting the risk-weighted amount of equity exposures that are subject to the simple risk-weight method other than those equity exposures reported in Form IRB_EQUO. Item Nature of item Columns (1) & (2) Portfolio An AI having equity exposures subject to the simple risk-weight method is required to divide such exposures into two portfolios: (i) publicly traded equity exposures and (ii) all other equity exposures. These portfolios are assigned with a supervisory risk-weight of 300% and 400% respectively. Columns (3) & (4) EAD Calculation For each portfolio, report the exposure amount before netting (column (3)) and the exposure amount after netting (column (4)). Where an exposure is not covered by any valid bilateral netting agreement or valid cross-product netting agreement, the same amount should be entered in both columns. Column (5) Risk-weighted amount This is calculated as follows: SRW (column (2)) x EAD (column (4)). Column (6) Memorandum item Report the number of equity exposures reported under publicly traded equity exposures and all other equity exposures. FORM: IRB_EQUINT 252. This form is used for reporting the risk-weighted amount of equity exposures that are subject to the internal models method other than those equity exposures reported in Form IRB_EQUO. Item Nature of item Column (1) Portfolio An AI having equity exposures subject to the internal models method is required to divide such exposures into two portfolios: (i) publicly traded equity exposures and (ii) all other equity exposures. Column (2) & (3) EAD calculation

MA(BS)3(IIIc) /P.87 (03/2019) Item Nature of item Specific instructions for columns (3) and (4) of Form IRB_EQUSRW apply. Columns (4) to (6) Risk-weighted amount calculation: minimum risk-weights Under column (4), report the EAD of the equity exposures for which the minimum risk-weights are applied in calculating the risk-weighted amount, which are 200% for publicly traded equity exposures and 300% for all other equity exposures. Under column (6), the amount of risk-weighted amount of the equity exposures where the minimum risk-weights are applied is calculated as follows: EAD (column (4)) x minimum risk-weight (column (5)). Columns (7) to (9) Risk-weighted amount calculation: internal models Under column (7), report the EAD of the equity exposures whose risk￾weighted amount is calculated using the internal models and where the minimum risk-weights are not applicable. Under column (8), report the potential loss on the equity exposures from an assumed instantaneous shock equivalent to the one-tailed 99% confidence interval of the difference between quarterly returns and an appropriate risk￾free rate computed over a long-term sample period. Under column (9), the risk-weighted amount of the equity exposures is calculated as follows: potential loss (column (8)) x 12.5). Column (10) Risk-weighted amount This is the sum of the risk-weighted amount calculated under the minimum risk-weights (column (6)) and under the internal models (column (9)). Column (11) Memorandum item Report the number of equity exposures reported under publicly traded equity exposures and all other equity exposures. FORM: IRB_EQUPDLGD 253. This form is used for reporting the risk-weighted amount and credit risk components of equity exposures subject to the PD/LGD approach other than those equity exposures reported in Form IRB_EQUO. In each reporting form, an AI should state the IRB subclass for which the form is completed, and also the portfolio type when more than one form is reported for an IRB subclass. Item Nature of item Columns (1) to (5) Internal rating system: obligor grade and PD range Specific instructions for columns (1) to (5) of Form IRB_CSB apply.

MA(BS)3(IIIc) /P.88 (03/2019) Item Nature of item Columns (6) & (7) EAD calculation For each obligor grade, give a breakdown of exposures (there being no distinction required between on-balance sheet exposures and off-balance sheet exposures in relation to equity exposures) before recognized guarantees/credit derivative contracts by exposures before and after netting for columns (6)(i) and (ii) (if not covered by a valid bilateral netting agreement or valid cross-product netting agreement, the gross amount of an exposure should be reported in both columns). Exposures with recognized guarantees/credit derivative contracts should be reported as follows: (i) Identify the IRB subclass of an exposure and report the amount of the exposure before recognized guarantees/credit derivative contracts under column (6) in the grade applicable to the PD estimate of the underlying obligor. (ii) Divide the exposure amount into two portions: (a) the portion covered by credit protection and (b) the remaining uncovered portion. (iii) Report the uncovered portion as “Exposures after recognized guarantees/credit derivative contracts” under column (7) of the same form, in the grade applicable to the PD estimate of the underlying obligor. (iv) Report the secured portion as “Exposures after recognized guarantees/credit derivative contracts” under, say, columns (9) to (11) of the IRB_CSB or IRB_RETAIL, as the case may be, for the IRB subclass applicable for the credit protection provider and in the grade applicable to the PD estimate of the credit protection provider (i.e. PD substitution). For exposures without recognized guarantees/credit derivative contracts or without taking into account the credit risk mitigating effect of recognized guarantees/credit derivative contracts, the same exposure amount should be entered in both columns (6)(ii) and (7). Columns (8) to (11) Risk-weighted amount Calculate the risk-weighted amount of each exposure and report the sum of risk-weighted amount for each grade under column (8). An AI should report the supplementary information on the risk-weighted amount reported under column (8):

• for column (9): report the risk-weighted amount of the equity exposures where the factor of 1.5 is applied to the risk-weight derived from the corporate risk-weight function.
• for column (10): report the risk-weighted amount of the equity exposures where the minimum risk-weight is applied (i.e. 100% for publicly traded equity exposures and privately owned equity exposures held for long-

MA(BS)3(IIIc) /P.89 (03/2019) Item Nature of item term investment, 200% for other publicly traded equity exposures and 300% for other equity exposures).

• for column (11): report the risk-weighted amount of the equity exposures where the risk-weight of 1250% is applied. Column (12) & (13) Memorandum item Report the sum of the expected loss amount of exposures for each grade under column (12). Report the number of equity exposures reported for each grade under column (13). FORM: IRB_EQUO

254. This form is used for reporting the risk-weighted amount of specified equity exposures subject to prescribed supervisory risk-weights and are not reported in Form IRB_EQUSRW, Form IRB_EQUINT or Form IRB_EQUPDLGD. These include: (i) equity exposures to financial sector entities as specified under paragraph 120; (ii) equity exposures to commercial entities as specified under paragraph 119; and (iii) the EL amount of equity exposures subject to the PD/LGD approach as specified under paragraph 131. Item Nature of item Columns (1) & (2) Portfolio An AI should report equity exposures that fall within paragraph 254. Columns (3) & (4) EAD Calculation For each portfolio, report the exposure amount before netting (column (3)) and the exposure amount after netting (column (4)). Where an exposure is not covered by any valid bilateral netting agreement or valid cross-product netting agreement, the same amount should be entered in both columns. Column (5) Risk-weighted amount This is calculated as follows: SRW (column (2)) x EAD (column (4)). Column (6) Memorandum item Report the number of equity exposures reported under each of the portfolios of equity exposures reported in this Form. FORM: IRB_OTHER
255. This form is used for reporting the risk-weighted amount of cash items and other items that are not reported elsewhere in the return.

MA(BS)3(IIIc) /P.90 (03/2019) Item Nature of item Column (1) Cash items An AI is required to report any cash item listed in the table under paragraph 135. Other items An AI is required to report any other item listed in the table under paragraph 136. The AI should provide a brief description of other items that are not specifically identified elsewhere in this return. Columns (3) & (4) EAD calculation An AI is required to report both the exposure amount before and after netting in columns (3) and (4) respectively. Where an item is not covered by a valid bilateral netting agreement or valid cross-product netting agreement, the same exposure amount should be entered in both columns. Column (5) Risk-weighted amount This is calculated as follows: EAD (column (4)) x SRW (column (2)). FORM: IRB_FIRBLGD 256. This form is used for reporting the LGD information for corporate, sovereign and bank exposures under the foundation IRB approach. For each form (IRB_CSB) reported under Division B for corporate, sovereign and bank exposures under the foundation IRB approach (except SL under supervisory slotting criteria approach), an AI should file a corresponding form under IRB_FIRBLGD. 257. In each reporting form of IRB_FIRBLGD, an AI should state the IRB class and subclass for which the form is completed, and also the portfolio type where more than one form is reported for an IRB subclass. Item Nature of item Columns (1) & (2) Obligor grade Report the average PD for exposures assigned to each grade. The number of grades and the average PD figures reported should be the same as those reported in column (5) of Form IRB_CSB for that particular IRB subclass/portfolio type. Column (3) EAD Report the sum of EAD for exposures of each grade. This figure should be the same as column (12) of Form IRB_CSB for that particular IRB subclass/portfolio type.

MA(BS)3(IIIc) /P.91 (03/2019) Item Nature of item Columns (4) to (11) LGD Allocate or apportion the EAD of each exposure according to the following facility/collateral types: Column (4): Exposures with specific wrong-way risk (LGD: 100%) Column (5): Subordinated exposures (LGD: 75%) Column (6): Unsecured senior exposures (LGD: 45%) Column (7): Other recognized IRB collateral (LGD: 40%) Column (8): Recognized commercial real estate (LGD: 35%) Column (9): Recognized residential real estate (LGD: 35%) Column (10): Recognized financial receivables (LGD: 35%) Column (11): Recognized financial collateral (LGD: 0%)  If the exposure falls within paragraphs 87 or 88 (i.e. it is an exposure with specific wrong-way risk), report the full amount of EAD under column (4).  If the exposure is a subordinated exposure that is not captured under column (4), report the full amount of EAD under column (5).  If the exposure is an unsecured senior exposure that is not captured under column (4), report the full amount of EAD under column (6).  If a senior exposure is collateralized by recognized financial collateral (including gold), then the AI should enter the collateralized portion after the haircut adjustments (i.e. the greater of zero or E-E*) in column (11). The uncollateralized portion (E*) should be reported in column (4) or (6).  For senior exposures collateralized by recognized CRE or recognized RRE, if the exposure is 140% covered by collateral, 100% of the exposure should be reported in column (8) or (9), as the case may be. For exposures which are less well covered by collateral but meet a minimum coverage of 30%, the following proportion of the exposures should be reported in column (8) or (9):

• (percentage of exposure collateralized / 140%) x EAD The remainder should be reported in column (4) or (6).  For senior exposures collateralized by recognized financial receivables, if an AI has an exposure that is 125% covered by collateral then it should report 100% of the exposure in column (10). For an exposure which is less well covered by collateral, the following proportion of the exposure should be reported in column (10):
• (percentage of exposure collateralized / 125%) x EAD

MA(BS)3(IIIc) /P.92 (03/2019) Item Nature of item The remainder should be reported in column (4) or (6).  For senior exposures collateralized by other recognized IRB collateral, if the exposure is 140% covered by collateral, 100% of the exposure should be reported in column (7). For an exposure which is less well covered by collateral but meet a minimum coverage of 30%, the following proportion of the exposure should be reported in column (7):

• (percentage of exposure collateralized / 140%) x EAD The remainder should be reported in column (4) or (6). Column (12) Exposure weighted average LGD Report the exposure weighted average LGD for each obligor grade. These figures should be the same as those reported under column (13) of Form IRB_CSB for that particular IRB subclass/portfolio type. FORM: IRB_AIRBLGD

258. This form is used for reporting the LGD information for corporate, sovereign and bank exposures under the advanced IRB approach. For each form (IRB_CSB) reported under Division B for corporate, sovereign and bank exposures under the advanced IRB approach (except SL under supervisory slotting criteria approach), an AI should file a corresponding form under IRB_AIRBLGD.
259. In each reporting form of IRB_AIRBLGD, an AI should state the IRB class and subclass for which the form is completed, and also the portfolio type where more than one form are reported for an IRB subclass. Item Nature of item Columns (1) & (2) Obligor grade Report the average PD for exposures assigned to each obligor grade. The number of obligor grades and the average PD figures reported should be the same as those reported in column (5) of Form IRB_CSB for that particular IRB subclass/portfolio type. Column (3) EAD Report the sum of EAD for exposures of each grade. These figures should be the same as those reported under column (12) of Form IRB_CSB for that particular IRB subclass/portfolio type. Columns (4) to (18) LGD Allocate or apportion the EAD of each exposure according to the facility grades (i.e. columns (4) to (18)), each of which is associated with a specified LGD. An AI should specify the percentage of LGD under each facility grade, together with a brief description where possible except that

MA(BS)3(IIIc) /P.93 (03/2019) Item Nature of item the value of LGD in column (18) (or the last column under this item if dynamic rows are inserted after column (17)) is set at 100%. Column (19) Exposure weighted average LGD Report the exposure weighted average LGD for each grade. These figures should be the same as those reported under column (13) of Form IRB_CSB for that particular IRB subclass/portfolio type. FORM: IRB_OBSND 260. This form is used for reporting the breakdown of off-balance sheet exposures other than OTC derivative transactions, credit derivative contracts and SFTs for corporate, sovereign, bank and retail exposures. For corporate, sovereign and bank exposures, an AI using the foundation IRB approach to derive the risk-weighted amount for these exposures should report information under (A1) and those using the advanced IRB approach should report information under (A2). (B) is for reporting of retail exposures. Item Nature of item Items (1) to (11) Off-balance sheet exposures (Other than OTC derivative transactions, credit derivative contracts and SFTs) An AI is required to report in items 1 to 11 each of its off-balance sheet exposures other than OTC derivative transactions, credit derivative contracts and SFTs as listed in the table under paragraph 162. Exposures reported in item 11 may include the credit exposures to persons holding collateral posted by the AI (other than collateral posted for centrally cleared trades and held by CCPs) in a manner that is not bankruptcy remote from the persons. An AI should provide, in all cases, the principal amount and credit equivalent amount of the exposures before and after recognized guarantees/credit derivative contracts. The AI is also required to estimate CCFs for those types without prescribed CCFs. For such types of off￾balance sheet exposures, the AI is required to indicate the CCF (or a representative value of a range of CCFs). Items (CT & DT) Total credit equivalent amount Report in item CT the sum of the credit equivalent amount (before recognized guarantees/credit derivative contracts) reported in items 1 to 11. Report in item DT the sum of the credit equivalent amount (after recognized guarantees/credit derivative contracts) reported in items 1 to 11.

MA(BS)3(IIIc) /P.94 (03/2019) FORM: IRB_OBSD_N_IMM 261. This form is used for reporting the breakdown of the default risk exposures of OTC derivative transactions, credit derivative contracts and SFTs 51 (including centrally cleared trades that are treated as bilateral trades) for corporate, sovereign, bank and retail exposures that are not subject to the IMM(CCR) approach. Where provided for in this form, such off-balance sheet exposures should be reported by residual maturity of (i) one year or less; (ii) over 1 year to 5 years; and (iii) over 5 years. Item Nature of item Items 1 to 12 OTC derivative transactions, credit derivative contracts and SFTs An AI is required to report in items 1 to 11 each of its OTC derivative transactions (other than LSTs), credit derivative contracts (other than LSTs), SFTs (other than LSTs) and LSTs (regardless of the nature of the LSTs) by IRB class as well as (where required) by maturity time bands. AIs should report relevant exposures that are not subject to valid bilateral netting agreements or those that are required to be treated as a separate netting set under section 226J(1) of the Rules in items 1 to 8. Relevant exposures that are subject to valid bilateral netting agreements and do not fall within section 226J(1) of the Rules should be reported in items 9 to 11. For capital adequacy purposes, only default risk exposures of OTC derivative transactions and credit derivative contracts may be reported on a net basis. Those OTC derivative transactions, credit derivative contracts, SFTs and LSTs that do not fall within items 1 to 11 are reported in item 12. For reporting of OTC derivative transactions and credit derivative contracts (other than LSTs arising from the transactions or contract) in items 1 to 6 and 9, an AI should provide, in all cases, the principal amount, current exposure, potential exposure and default risk exposure of the exposures before and after recognized guarantees/credit derivative contracts. For reporting of SFTs (other than LSTs) and LSTs in items 7, 8, 10 and 11 and exposures in item 12, an AI should provide, in all cases, the principal amount (which, in respect of SFTs, is the aggregate principal amount of the securities sold or lent, or the money paid or lent, or the securities or money provided as collateral, under the SFTs) and default risk exposure of the exposures before and after recognized guarantees/credit derivative contracts (but after netting in both instances). Items A(iv) & A(v) Subtotal default risk exposures Report in item A(iv) the sum of the default risk exposures (before recognized guarantees/credit derivative contracts) reported in items 1 to 5. Report in item A(v) the sum of the default risk exposures (after recognized guarantees/credit derivative contracts) reported in items 1 to 5.

51 The exposures covered include LSTs arising from OTC derivative transactions, credit derivative contracts and SFTs – see their respective definitions under section 2(1) of the Rules.

MA(BS)3(IIIc) /P.95 (03/2019) Item Nature of item Items B(iv) & B(v) Total default risk exposures Report in item B(iv) the sum of the default risk exposures (before recognized guarantees/credit derivative contracts but (where applicable) after netting) reported in items 1 to 12 for different IRB classes. Report in item B(v) the sum of the default risk exposures (after recognized guarantees/credit derivative contracts and (where applicable) netting) reported in items 1 to 12 for different IRB classes. FORM: IRB_OBSD_IMM 262. This form is used for reporting the breakdown of the default risk exposures of OTC derivative transactions, credit derivative contracts and SFTs51 (including centrally cleared trades that are treated as bilateral trades) for corporate, sovereign, bank and retail exposures under the IMM(CCR) approach. An AI should refer to paragraphs 149(a) and 183 to 186 and report in this form for different IRB classes the principal amounts and default risk exposures of OTC derivative transactions, credit derivative contracts and SFTs that are associated with the higher of the portfolio-level risk￾weighted amount of the relevant exposures referred to in paragraph 184(i) and (ii). Item Nature of item Items (1) to (7) OTC derivative transactions, credit derivative contracts and SFTs An AI is required to report in items 1 to 7 each of its OTC derivative transactions and credit derivative contracts (other than LSTs), SFTs (other than LSTs) and LSTs (regardless of the nature of the LSTs) by IRB class. AIs should report relevant exposures that are not subject to valid bilateral netting agreements or valid cross-product netting agreements, or exposures that are required to be treated as a separate netting set under section 226J(1) of the Rules, in items 1 to 3 as appropriate. Relevant exposures that are subject to valid bilateral netting agreements or valid cross-product netting agreements and which do not fall within section 226J(1) of the Rules should be reported in items 4 to 7 as appropriate. An AI should provide, in all cases, the principal amount (which, in respect of SFTs, is the aggregate principal amount of the securities sold or lent, or the money paid or lent, or the securities or money provided as collateral, under the SFTs) and default risk exposure of the transactions before and after recognized guarantees/credit derivative contracts (but after netting in both instances). Items (B(ii) & B(iii)) Total default risk exposures Report in item B(ii) the sum of the default risk exposures (before recognized guarantees/credit derivative contracts but after netting) reported in items 1 to 7 for different IRB classes.

MA(BS)3(IIIc) /P.96 (03/2019) Item Nature of item Report in item B(iii) the sum of the default risk exposures (after recognized guarantees/credit derivative contracts and netting) reported in items 1 to 7 for different IRB classes. FORM: IRB_ELEP 263. This form is used for reporting the EL amount and eligible provisions by IRB class/subclass and calculating the difference between the total EL amount and total eligible provisions (if any) for the computation of capital base. Item Nature of item Items (1) to (4) Corporate, sovereign, bank and retail exposures An AI should report by IRB class/subclass the EL amount and eligible provisions for non-defaulted exposures (columns (a) and (d)) and defaulted exposures (columns (b) and (e)). Item (5) Total This is the sum of items (1) to (4). Items (6) to (9) EL-EP calculation Excess of total EL amount over total eligible provisions will be reported in item 6. This figure will be deducted from an AI’s CET1 capital, in accordance with section 43(1)(i) of the Rules (see Form MA(BS)3(II)). Surplus of total eligible provisions over total EL amount will be reported in item 7. This figure will be compared to a ceiling reported in item 8 (i.e. 0.6% x item 8 of Form IRB_TOTCRWA) and then the lower amount is reported in item 9. This figure will be added to an AI’s Tier 2 capital (see Form MA(BS)3(II)). Hong Kong Monetary Authority March 2019

MA(BS)3(IIIc) /P.97 (03/2019) Annex IIIc-A: Illustrations

1. Below are some illustrative examples for the calculation of the risk-weighted amounts under the foundation IRB approach. These examples are reported in the attached returns for Bank XYZ. (A) Corporate, Sovereign and Bank Exposures
2. For simplicity reasons, Bank XYZ is assumed to have one internal rating system for all of its corporate, sovereign and bank exposures. This internal rating system comprises 8 obligor grades, each associated with a PD estimate as given in Tables A and B below. Table A gives the risk-weights for SME Corporates while Table B gives the risk-weights for Other Corporates. Table A: Bank XYZ’s Internal Rating System for Corporate, Sovereign and Bank Exposures – SME Corporates (M = 2.5 years ; obligor’s reported annual revenue = HK$50 Mn) Grade Non-defaulted (P) / Defaulted (D) PD IRB Risk-Weight (RW) LGD: 75% LGD:45% LGD:40% LGD:35% 1 P 0.03% 18.81% 11.30% 10.03% 8.78% 2 P 0.25% 65.01% 39.01% 34.67% 30.34% 3 P 0.75% 108.57% 65.14% 57.90% 50.67% 4 P 1.50% 136.85% 82.11% 72.99% 63.87% 5 P 3.00% 162.63% 97.58% 86.74% 75.90% 6 P 6.00% 199.14% 119.48% 106.21% 92.93% 7 P 20.00% 314.03% 188.42% 167.48% 146.55% 8 D 100.00% - - - - Table B: Bank XYZ’s Internal Rating System for Corporate, Sovereign and Bank Exposures – Other Corporates (M = 2.5 years) Grade Non-defaulted (P) / Defaulted (D) PD IRB Risk-Weight (RW) LGD: 75% LGD:45% LGD:40% LGD:35% 1 P 0.03% 24.05% 14.44% 12.83% 11.22% 2 P 0.25% 82.45% 49.47% 43.97% 38.48% 3 P 0.75% 137.96% 82.78% 73.58% 64.38% 4 P 1.50% 175.99% 105.59% 93.86% 82.13% 5 P 3.00% 214.07% 128.44% 114.17% 99.90% 6 P 6.00% 266.02% 159.61% 141.88% 124.14% 7 P 20.00% 397.05% 238.23% 211.76% 185.29% 8 D 100.00% - - - -

MA(BS)3(IIIc) /P.98 (03/2019) (i) Example 1 (Corporate exposure with on-balance sheet netting) Corporate A, classified as grade 5 under the Bank XYZ’s internal rating system, borrowed a senior (i.e. not subordinated) loan of HK$100 Mn from Bank XYZ. Corporate A has also placed a pledged deposit of HK$10 Mn with Bank XYZ. Both the loan and the pledged deposit are subject to a valid bilateral netting agreement. Given:  Corporate A’s group total annual revenue = HK$500 Mn or more  Specific provision = HK$1 Mn  No currency and maturity mismatch between the loan and the pledged deposit Workings:  Estimated PD (grade 5) for Corporate A = 3%  LGD = 45%  RW = 128.44%  M = 2.5 years (a) Exposures before recognized guarantees/credit derivative contracts: (1) On-balance sheet exposures before netting = HK$100 Mn (2) On-balance sheet exposures after netting = max [0, exposures - liabilities x (1 - Hfx)] = HK$100 Mn - HK$10 Mn = HK$90 Mn (b) Exposures after recognized guarantees/credit derivative contracts (on-balance sheet exposures after netting) = HK$90 Mn (i.e. EAD) (c) Risk-weighted amount of the exposure to Corporate A = EAD x RW = HK$90 Mn x 1.2844 = HK$115.596 Mn (d) EL-eligible provisions calculation: (1) EL amount = EAD x PD x LGD = HK$90 Mn x 0.03 x 0.45 = HK$1.215 Mn (2) Eligible provisions = HK$1 Mn (ii) Example 2 (SME corporate exposure partially guaranteed by a bank) Corporate B, classified as grade 5 under the Bank XYZ’s internal rating system, borrowed a subordinated loan of HK$100 Mn from Bank XYZ. HK$40 Mn of this

MA(BS)3(IIIc) /P.99 (03/2019) exposure is guaranteed by Bank C, classified as grade 2 under the Bank XYZ’s internal rating system. The guaranteed commitment is a senior claim on Bank C. Given:  Corporate B’s group total annual revenue = HK$50 Mn or below  Specific provision = HK$1.72 Mn  No currency and maturity mismatch between the transaction and the guarantee  PD substitution (i.e. not subject to double default framework) Workings: Corporate B:  Estimated PD (grade 5) for Corporate B = 3%  LGD of the uncovered portion = 75%  RW = 162.63%  M = 2.5 years (a) Exposures before recognized guarantees/credit derivative contracts (on-balance sheet exposures before/after netting) = HK$100 Mn (b) Exposures after recognized guarantees/credit derivative contracts (on-balance sheet exposures after netting) = HK$100 - HK$40 Mn = HK$60 Mn (i.e. EAD) (c) Risk-weighted amount for the exposure to Corporate B (i.e. portion not covered by the guarantee issued by Bank C) = EAD x RW = HK$60 Mn x 1.6263 = HK$97.578 Mn (d) EL-eligible provisions calculation: (1) EL amount = EAD x PD x LGD = HK$60 Mn x 0.03 x 0.75 = HK$1.35 Mn (2) Eligible provisions = HK$1.72 Mn x 60/100 (or a risk-weighted basis, such as based on the EL amount i.e. 1.35/(1.35 + 0.045)) = HK$1.032 Mn Bank C:  Estimated PD (grade 2) for Bank C = 0.25%  LGD of the guaranteed portion = 45%

MA(BS)3(IIIc) /P.100 (03/2019)  RW = 49.47%  M = 2.5 years (e) Exposures after recognized guarantees/credit derivative contracts (on-balance sheet exposures after netting) = HK$40 Mn (i.e. EAD) (f) Risk-weighted amount of the exposure to Bank C (i.e. the guaranteed portion) = EAD x RW = HK$40 Mn x 0.4947 = HK$19.788 Mn (g) EL-eligible provisions calculation: (1) EL amount = EAD x PD x LGD = HK$40 Mn x 0.0025 x 0.45 = HK$0.045 Mn (2) Eligible provisions = HK$1.72 Mn x 40/100 (or a risk-weighted basis, such as based on the EL amount i.e. 0.045/(1.35 + 0.045)) = HK$0.688 Mn (iii) Example 3 (Secured corporate exposure fully guaranteed by a sovereign) Corporate D, classified as grade 5 under the Bank XYZ’s internal rating system, borrowed a senior loan of HK$100 M from Bank XYZ. The transaction is secured by a BBB rated six-year corporate bond of HK$40 Mn and an other recognized IRB collateral of HK50 Mn. Also, the exposure is fully guaranteed by Central Bank E which is classified as grade 4 under the Bank XYZ’s internal rating system. Given:  Corporate D’s group total annual revenue = HK$500 Mn or more  Haircut for the BBB rated six-year corporate bond (i.e. credit quality grade 3 of residual maturity >5 years) = 12%  No currency and maturity mismatch between the transaction and the collateral/guarantee  No specific provisions made Workings: Corporate D:  Estimated PD (grade 5) for Corporate D = 3%  M = 2.5 years

MA(BS)3(IIIc) /P.101 (03/2019) (a) Exposures before recognized guarantees/credit derivative contracts (on-balance sheet exposures before/after netting) = HK$100 Mn (b) Exposures after recognized guarantees/credit derivatives (on-balance sheet exposures after netting) = HK$100 Mn - HK$100 Mn = HK$0 Mn (c) Eligible provisions = HK$0 Mn Sovereign E:  Estimated PD (grade 4) for Sovereign E = 1.5%  M = 2.5 years (d) Exposures after recognized guarantees/credit derivative contracts (on-balance sheet exposures after netting) = HK$100 Mn (i.e. EAD) (e) Allocation of EAD according to collateral type: (1) Portion fully secured by recognized financial collateral: = C x (1 - Hc - Hfx) = HK$40 Mn x (1 - 0.12 - 0) = HK$35.2 Mn (LGD = 0%) (2) Portion fully secured by other recognized IRB collateral:  Value of the physical collateral52 : = C x (1 - Hc - Hfx) = HK$50 Mn x (1 - 0 - 0) = HK$50 Mn  Ratio of the value of the other recognized IRB collateral to the reduced exposure (after recognizing the effect of recognized financial collateral): = [HK$50 Mn / (HK$100 Mn - HK$35.2 Mn)] x 100% = 77% (between C* of 30% and C** of 140%)  Portion fully secured by other recognized IRB collateral: = Value of the other recognized IRB collateral / C** = HK$50 Mn / 140% = HK$35.714 Mn (LGD = 40%, RW = 93.86%) (3) Unsecured portion: = HK$100 Mn - HK$35.2 Mn - HK$35.714 Mn = HK$29.086 Mn (LGD = 45%, RW = 105.59%) (f) Exposure weighted average LGD = (Efinancial x 0% + Eother x 40% + Eunsecured x 45%) / E

52 Haircut (Hc) for eligible IRB collateral is 0%.

MA(BS)3(IIIc) /P.102 (03/2019) = (HK$35.2 Mn x 0%) + (HK$35.714 Mn x 40%) + (HK$29.086 Mn x 45%) / HK$100 Mn = 27.37% (g) Risk-weighted amount of the exposure to Central Bank E = (EAD x RW)financial + (EAD x RW)other + (EAD x RW)unsecured = (HK$35.2 Mn x 0) + (HK$35.714 Mn x 0.9386) + (HK$29.086 Mn x 1.0559) = HK$64.233 Mn (h) EL-eligible provisions calculation: (1) EL amount = (EAD x PD x LGD)financial + (EAD x PD x LGD)other + (EAD x PD x LGD)unsecured (or = EAD x PD x Exposure weighted average LGD) = (HK$35.2 Mn x 0.015 x 0) + (HK$35.714 Mn x 0.015 x 0.4) + (HK$29.086 Mn x 0.015 x 0.45) or (= HK$100 Mn x 0.015 x 0.2737) = HK$0.411 Mn (2) Eligible provisions = HK$0 Mn (iv) Example 4 (Clean Corporate exposure in defaulted grade) Corporate F, classified as grade 8 (i.e. default) under the Bank XYZ’s internal rating system, borrowed a senior unsecured loan of HK$100 Mn from Bank XYZ. Given:  Specific provisions = HK$40 Mn  Best estimate of EL = 40% Workings:  Estimated PD (grade 8) for Corporate F = 100%  LGD = 45% (a) Exposures before/after recognized guarantees/credit derivative contracts (on￾balance sheet exposures before/after netting) = HK$100 Mn (i.e. EAD) (b) Risk-weighted amount of the exposure to Corporate F = max [0, LGD - EL] x 12.5 x EAD = (45% - 40%) x 12.5 x HK$100 Mn = HK$62.5 Mn (c) EL-eligible provisions calculation: (1) EL amount = EL x EAD = 0.4 x HK$100 Mn = HK$40 Mn

MA(BS)3(IIIc) /P.103 (03/2019) (2) Eligible provisions = HK$40 Mn (B) Equity Exposures (v) Example 5 (Market-based approach: Internal models method) Bank XYZ has an equity holding in Company G, which is traded on a recognized stock exchange and does not fall within paragraph 119 or 120 of the instructions. The fair value of the equity holding is HK$20 Mn. Any change in its fair value will be flowing directly through income and into regulatory capital. The potential loss on the equity holding as derived by using internal VaR model is HK$4 Mn. Given:  No specific provision made Workings: (a) Exposures before/after netting = HK$20 Mn (b) Risk-weighted amount of equity exposure to Company G: (1) Minimum risk-weighted amount (using the simple risk weight) = EAD x RW = HK$20 Mn x 200% = HK$40 Mn (2) Risk-weighted amount under internal VaR model = Potential loss x 12.5 = HK$4 Mn x 12.5 = HK$50 Mn Risk-weighted amount = max [(1), (2)] = HK$50 Mn (c) Eligible provisions = HK$0 Mn (C) Retail Exposures (vi) Example 6 (QRRE) Within the exposure subclass of QRRE, Bank XYZ is using a separate internal rating system for revolving personal loans with PD estimates as given below. There are four defaulted pools with LGD estimates of 30%, 60%, 85% and 100%. Table C: Bank XYZ’s Internal Rating System for QRRE Pool Non-defaulted (P) / Defaulted (D) PD IRB Risk Weight (RW) LGD: 85% LGD:60% LGD:30% 1 P 0.05% 2.86% 2.02% 1.01% 2 P 0.25% 10.88% 7.68% 3.84%

MA(BS)3(IIIc) /P.104 (03/2019) Pool Non-defaulted (P) / Defaulted (D) PD IRB Risk Weight (RW) LGD: 85% LGD:60% LGD:30% 3 P 0.75% 26.06% 18.40% 9.20% 4 P 3.00% 73.03% 51.55% 25.78% 5 P 6.00% 116.37% 82.14% 41.07% 6 P 15.00% 196.23% 138.51% 69.26% 7 D 100.00% - - - Bank XYZ has granted an unsecured revolving loan facility of HK$1 Mn to Mr. H, of which HK$0.8 Mn has been drawn down and is outstanding. The exposure to Mr. H is classified in the retail pool with a PD estimate of 0.75% (i.e. grade 3) and LGD estimate of 60%. Given:  No specific provision made  The undrawn portion is unconditionally cancellable with a CCF of 0%  Estimated PD (grade 3) for Mr. H = 0.75%  LGD = 60%  RW = 18.40% Workings: (a) Exposures before/after recognized guarantees/credit derivative contracts: (1) On-balance sheet exposures before/after netting = HK$0.8 Mn (2) Off-balance sheet exposures (Other than OTC derivative transactions, credit derivative contracts and SFTs) = Principal amount x CCF = (HK$1 Mn - HK$0.8 Mn) x 0% = HK$0 Mn (b) Risk-weighted amount of the exposure to Mr. H: = EAD x RW = HK$0.8 Mn x 0.184 = HK$0.147 Mn (c) EL-eligible provisions calculation: (1) EL amount = EAD x PD x LGD = HK$0.8 Mn x 0.0075 x 0.6 = HK$0.004 Mn (2) Eligible provisions = HK$0 Mn

MA(BS)3(IIIc) /P.105 (03/2019) Annex IIIc-B: Structure of the IRB Return [MA(BS)3(IIIc)] Division Template IRB Class/Subclass To Be Reported A. IRB_TOTCRWA For all IRB classes/subclasses under IRB approach B. IRB_CSB For each of the following IRB subclasses for corporate/sovereign/bank exposures under FIRB approach or AIRB approach :-  Corporate exposures: (i) Small-and-medium sized corporates  Corporate exposures: (ii) Other corporates  Corporate exposures: (iii) Specialized Lending (high-volatility commercial real estate)  Sovereign exposures: (i) Sovereigns  Sovereign exposures: (ii) Sovereign foreign public sector entities  Sovereign exposures: (iii) Multilateral development banks  Bank exposures: (i) Banks  Bank exposures: (ii) Securities firms  Bank exposures: (iii) Public sector entities (excluding sovereign foreign public sector entities) IRB_SLSLOT For each of the following IRB subclasses where supervisory slotting criteria approach is applicable:-  Corporate exposures: (i) Specialized Lending under supervisory slotting criteria approach (project finance)  Corporate exposures: (ii) Specialized Lending under supervisory slotting criteria approach (object finance)  Corporate exposures: (iii) Specialized Lending under supervisory slotting criteria approach (commodities finance)  Corporate exposures: (iv) Specialized Lending under supervisory slotting criteria approach (income-producing real estate)  Corporate exposures: (v) Specialized Lending (high-volatility commercial real estate) IRB_RETAIL For each of the following IRB subclasses for retail exposures under retail IRB approach:-  Retail exposures: (i) Residential mortgages to individuals  Retail exposures: (ii) Residential mortgages to property-holding shell companies  Retail exposures: (iii) Qualifying revolving retail exposures  Retail exposures: (iv) Small business retail exposures  Retail exposures: (v) Other retail exposures to individuals IRB_EQUSRW Equity exposures: Market-based approach: Simple risk-weight method IRB_EQUINT Equity exposures: Market-based approach: Internal models method

MA(BS)3(IIIc) /P.106 (03/2019) Division Template IRB Class/Subclass To Be Reported IRB_EQUPDLGD For each of the following IRB subclasses for equity exposures under PD/LGD approach:-  Equity exposures: (i) Publicly traded equity exposures held for long-term investment  Equity exposures: (ii) Privately owned equity exposures held for long-term investment  Equity exposures: (iii) Other publicly traded equity exposures  Equity exposures: (iv) Other equity exposures IRB_EQUO Equity exposures: Market-based approach or PD/LGD Approach: Exposures not reported in Forms IRB_EQUSRW, IRB_EQUINT and IRB_EQUPDLGD IRB_OTHER For cash items and other items under specific risk-weight approach C. IRB_FIRBLGD For each of the IRB subclasses for corporate/sovereign/bank exposures reported under FIRB approach in Division B IRB_AIRBLGD For each of the IRB subclasses for corporate/sovereign/bank exposures reported under AIRB approach in Division B D. IRB_OBSND For the IRB classes of corporate/sovereign/bank/retail exposures under IRB approach E. IRB_OBSD_N_IMM For the IRB classes of corporate/sovereign/bank/retail exposures under IRB approach: Default risk exposures not under IMM(CCR) approach IRB_OBSD_IMM For the IRB classes of corporate/sovereign/bank/retail exposures under IRB approach: Default risk exposures under IMM(CCR) approach F. IRB_ELEP For the IRB classes of corporate/sovereign/bank/retail exposures under IRB approach

MA(BS)3(IIIc) /P.107 (03/2019) Annex IIIc-C: Illustrative Risk-weights under IRB Approach IRB Class / Subclass Corporate Exposures Residential Mortgages Small Business Retail Exposures and Other Retail Exposures to Individuals Qualifying Revolving Retail Exposures LGD: 45% 45% 45% 25% 45% 85% 45% 85% Maturity 2.5 years Annual revenue (HK$ Mn) 500 50 PD: 0.03% 14.44% 11.30% 4.15% 2.30% 4.45% 8.41% 0.98% 1.85% 0.05% 19.65% 15.39% 6.23% 3.46% 6.63% 12.52% 1.51% 2.86% 0.10% 29.65% 23.30% 10.69% 5.94% 11.16% 21.08% 2.71% 5.12% 0.25% 49.47% 39.01% 21.30% 11.83% 21.15% 39.96% 5.76% 10.88% 0.40% 62.72% 49.49% 29.94% 16.64% 28.42% 53.69% 8.41% 15.88% 0.50% 69.61% 54.91% 35.08% 19.49% 32.36% 61.13% 10.04% 18.97% 0.75% 82.78% 65.14% 46.46% 25.81% 40.10% 75.74% 13.80% 26.06% 1.00% 92.32% 72.40% 56.40% 31.33% 45.77% 86.46% 17.22% 32.53% 1.30% 100.95% 78.77% 67.00% 37.22% 50.80% 95.95% 21.02% 39.70% 1.50% 105.59% 82.11% 73.45% 40.80% 53.37% 100.81% 23.40% 44.19% 2.00% 114.86% 88.55% 87.94% 48.85% 57.99% 109.53% 28.92% 54.63% 2.50% 122.16% 93.43% 100.64% 55.91% 60.90% 115.03% 33.98% 64.18% 3.00% 128.44% 97.58% 111.99% 62.22% 62.79% 118.61% 38.66% 73.03% 4.00% 139.58% 105.04% 131.63% 73.13% 65.01% 122.80% 47.16% 89.08% 5.00% 149.86% 112.27% 148.22% 82.35% 66.42% 125.45% 54.75% 103.41% 6.00% 159.61% 119.48% 162.52% 90.29% 67.73% 127.94% 61.61% 116.37% 10.00% 193.09% 146.51% 204.41% 113.56% 75.54% 142.69% 83.89% 158.47% 15.00% 221.54% 171.91% 235.72% 130.96% 88.60% 167.36% 103.89% 196.23% 20.00% 238.23% 188.42% 253.12% 140.62% 100.28% 189.41% 117.99% 222.86% Note:

1. The above table provides illustrative risk-weights for UL calculated for the IRB class of corporate exposures and the IRB subclasses of retail exposures under the IRB approach. Each set of risk￾weights is produced using the appropriate risk-weight functions. The inputs used to calculate the illustrative risk weights include measures of PD and LGD and an assumed M of 2.5 years.
2. A firm-size adjustment applies to exposures falling within the IRB subclass of small-and-medium sized corporates (defined as exposures to a corporate where the reported total annual revenue for the consolidated group of which the corporate is a part is less than HK$500 million). Accordingly, the firm-size adjustment is made in determining the second set of risk-weights provided in the second column of corporate exposures given that the annual revenue of the corporate receiving the exposure is assumed to be HK$50 million.