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Key Observations and Practices Noted in Recent Reviews
- Product due diligence (PDD)
1.1 The product risk rating methodology of some AIs did not appear to have given
due consideration to some key features and risks of certain investment products,
and there were instances of assigning product risk rating without proper
justification. For examples:
(a) assigned considerably lower risk ratings to high-yield bond funds as
compared with those of high-yield bonds;
(b) merely made reference to the trading spreads in assigning product risk
ratings for unrated bonds;
(c) an AI assigned a product risk rating of “moderate risk” (“2” out of 4
product risk levels) to a fund which was rated “7”, the highest risk rating,
by the product issuer, without conducting further due diligence work or
verification with the product issuer to justify why its own product risk
rating was significantly lower.
1.2 A number of AIs did not consider some relevant factors during the on-going
PDD review, even though these factors were taken into account in the initial
PDD and might change over time. Examples include factors related to product
issuers, such as their experience, reputation and financial soundness.
1.3 Sole reliance was sometimes placed on fund issuers for classifying whether a
fund is a derivative product for the purpose of the SFC’s Code of Conduct1
,
without seeking clarification from the fund issuers on apparently contradictory
information in the product documents.
Regulatory standards
AIs should develop a thorough understanding of the investment products they solicit
or recommend to customers; adopt a reasonable mechanism for assessing and
assigning product risk rating; and maintain adequate documentation of the PDD work
undertaken. All relevant factors that may affect customers in making informed
investment decision, such as the experience, reputation and financial soundness of the
1 Code of Conduct for Persons Licensed by or Registered with the Securities and Futures
Commission (SFC)
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product issuer, should be taken into account in both initial PDD and on-going PDD
reviews. AIs should also take prompt actions to ensure compliance with the
guidance issued by the HKMA from time to time concerning specific investment
products. For instance, in respect of high-yield bond funds, assigning lower product
risk ratings to such funds than those of high-yield bonds should be properly justified,
as stated in the HKMA’s circular “Product Risk Rating of High Yield Bonds and
Related Products” of 9 August 2013.
In determining whether a fund is a derivative product, AIs should, where appropriate,
seek written explanations from the product issuer of the rationale for the
classification2
. Any inconsistent information noted should be resolved properly.
- Know-Your-Customer (KYC) process and customer risk profiling
2.1 When assessing whether a customer should be treated as having derivative
knowledge, some AIs merely requested the customer to make declaration
without raising any follow-up enquiries as needed.
2.2 For regular review of customer risk profiling via written confirmation, some AIs
used negative confirmation or only recapped the customer’s current risk profile
rating without providing a full set of previously completed questionnaires to the
customer for review.
2.3 Some AIs constantly had a relatively high proportion of customers (including
vulnerable customers) assigned high or medium-to-high risk tolerance levels.
However, no assessment was performed to identify any pitfall in the risk
profiling mechanism and practices and ensure continued appropriateness.
Good practices
Some AIs adopted good practice of reviewing regularly the risk profiling mechanism
and result statistics to assess the continued appropriateness of the risk profiling
mechanism. In case of high proportion of customers assessed to have high or
medium-to-high risk tolerance levels, review was carried out by an independent unit
to ascertain whether there could be any undue influence by sales staff in the risk
profiling process. Examples of reviews include sample checks of documentation and
2
SFC’s circular “Guidance to Licensed Corporations and Registered Institutions In relation to
Derivative Products under the Code of Conduct” of 23 April 2012
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audio records of the risk profiling process, and mystery shopping to test check the risk
profiling practices.
Regulatory standards
AIs are expected to take all reasonable steps to obtain relevant information from
customers about their personal circumstances. In assessing whether a customer has
knowledge of derivatives, AIs should make appropriate enquiries of or gather relevant
information about the customer during the KYC process and make their own
assessment instead of relying merely on the customer’s declaration3
.
AIs should adopt adequate systems and controls to conduct a reasonable assessment
of customer’s risk tolerance. While the HKMA in principle has no objection for AIs
to conduct regular reviews of customer risk profile via written confirmation, AIs
should ensure their practices are reasonable and fair to customers. Proper practices
include providing the whole set of the current customer risk profiling questionnaire
(with the customer’s answer to each question) to the customer for review, and seeking
the customer to positively confirm whether there is any change to the customer risk
profile. Should there be any material change to the questionnaire or the customer’s
risk profile, a proper customer risk profiling assessment should be done instead.
- Suitability assessment and selling practices
3.1 Some AIs assessed customers’ concentration risk in one dimension only, e.g.
same investment amount threshold irrespective of product type, product risk
rating, issuer, or customer’s risk tolerance level etc. On the other hand, a
number of AIs relied solely on customers’ declaration that the intended
investment would not result in concentration issue. They did not make further
enquiry with the customer even when there seemed possible concern about
concentration risk as suggested by other information available to the AI.
3.2 Some deficiencies of a few AIs in selling foreign exchange (FX) accumulators
to corporate customers for hedging were noted. These few AIs did not have
adequate policies, procedures and controls for assessing customers’ hedging
need, but simply adopted the credit limit granted for accumulator transactions as
the amount for hedging purpose, and did not assess the customers’ concentration
risk. The AIs did not collect and assess some important information such as
3
SFC’s FAQ dated 3 June 2011
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the customer’s hedging need, anticipated cash outflow, other exposure to the
currency to be hedged, and the appropriate tenor and maximum exposure of the
customer to the accumulator contracts for hedging purpose.
3.3 Some AIs contemplated to discharge the suitability obligation by merely
considering product tenor together with other relevant factors in deriving a
product risk rating, and then simply matching such product risk rating with a
customer’s risk tolerance level. They did not have proper controls and
procedures to ensure other relevant factors are taken into account when
conducting suitability assessment.
3.4 A number of AIs did not properly consider customer’s investment horizon in
suitability assessment for investment funds. For example, a few AIs set out in
their policy and procedures that assessment of customer’s investment horizon is
not required in the context of investment funds, as investment funds have daily
liquidity and there is daily dealing, although the AIs required staff to consider
customer’s investment horizon in the suitability assessment for the selling of
other investment products. It was also noted in some cases that the AIs could
not provide proper rationale for solicitation/recommendation of some funds
whose target markets were investors having a long-term investment horizon to
some customers having short investment horizon.
3.5 Some sales staff of an AI solicited/recommended customers into highly frequent
trading of investment funds which could hardly be justified. In a number of
accounts, subscriptions, redemptions and switches of funds were highly frequent
with only short holding periods of one to six months, of which many involved
switching between different currency classes of the same funds. The sales
staff concerned did not assess the customers’ investment objective, investment
horizon, and the transaction costs, as well as the investment objective of the
funds, during the solicitation/recommendation. The AI needed to enhance its
selling practices and strengthen its controls for handling these frequently
switched transactions in order to ensure the sales staff conduct proper suitability
assessment and avoid conflicts of interest with customers (when they cannot be
avoided, the AI should ensure that customers are fairly treated).
3.6 Some sales staff treated transactions which involved
recommendation/solicitation as “execution-only”/“unsolicited” transactions, and
did not perform suitability assessment as required. For example, an AI
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disallowed sales staff to recommend mismatched products to customers, but
permitted them to sell mismatched products under the “unsolicited” trade model
without considering suitability to the customers. Despite a high proportion of
“unsolicited” transactions in unlisted investment products (including structured
products), the AI’s regular compliance reviews did not check for any possible
abuse of such internal policy by reviewing whether these transactions were
indeed initiated by customers.
3.7 An AI asked certain customers who had frequent transactions in investment
products to sign a document to give consent for the AI to solicit/recommend
investment products without assessing suitability. The sales staff, on the basis
of such document, solicited/recommended some transactions that did not appear
to match the circumstances of the customers. The AI did not understand that
the document signed by the customers could not exempt it from the obligations
to act with due skill, care and diligence and in the best interests of customers,
and ensure suitability of investment solicitation/recommendation.
3.8 A number of AIs disclosed the highest uniform rate of monetary benefits that
they might receive from the type of products instead of from that particular
transaction.
3.9 Some AIs did not maintain documentation about the assessment on whether a
customer is a vulnerable customer (“VC”). Some AIs did not maintain the VC
status in their systems to facilitate sales staff to carry out the selling process.
Good practices
Prudent approach was noted for dealing with VCs, first-time investors and
mismatched transactions on the Internet banking platform. These customers were
advised to approach staff at bank branches, so that proper investor protection steps
(such as risk disclosure and suitability assessment) could be taken.
Regulatory standards
Intermediaries should ensure the suitability of an investment recommendation or
solicitation for a customer is reasonable in all the circumstances4
. They should at all
times exercise their professional judgement to assess diligently whether the
4 Paragraph 5.2 of the SFC’s Code of Conduct
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characteristics and risk exposures of each solicited/recommended investment product
(including transaction costs, effect of gearing and foreign currency risks, where
appropriate) are suitable for the customer and are in the best interests of the customer,
taking into account all the personal circumstances (including the customer’s financial
situation, investment experience, investment objectives, investment horizon, risk
tolerance, etc)
5
. The HKMA does not require “mechanical matching” when AIs
review each relevant factor. On the other hand, mere mechanical matching of the
AI’s assigned product risk rating with the customer’s risk tolerance level as assessed
by the AI may not be sufficient when providing investment advice or recommendation.
Investment advice or recommendation should be based on thorough analysis of the
prevailing circumstances, the product specifications and risk profile including
concentration risk of the customer, and take into account available investment
alternatives. For this purpose, it is important that AIs and product providers
maintain two-way ongoing dialogue/communication to help ensure that the AIs are
kept up-to-date on the product’s specifications and risk profile as well as the intended
target market that may have been identified by the product providers. .
In respect of recommendations or solicitations involving investment funds, in
determining whether a fund is suitable for a customer, it should be noted that tenor
mismatch may be relevant where the fund has specific tenor (e.g. guaranteed and
structured funds where the issuers have provided capital guarantees and/or promised
payouts to investors). Even for funds without a specific tenor, customer’s
investment horizon should also be one of the relevant factors that should be
considered in the suitability assessment. In this connection, AIs should duly
consider, among other factors, relevant information from the product provider in the
sales-related materials and through the ongoing dialogue/communication mentioned
above.
Assessing the right level of concentration is a necessary part of the suitability
assessment. AIs should put in place reasonable methodology and threshold(s) for
assessment of customer’s concentration risk. AIs may take into account relevant
factors like product type and nature, product risk rating, the customer’s objectives and
risk tolerance level etc. and consider setting a lower threshold for higher risk products
and using cumulative basis instead of per transaction basis in calculating the
concentration level. For more guidance, please refer to the HKMA’s circular
“Selling of Investment Products” of 5 January 2012.
5 Question 4 of the SFC's FAQ on Suitability Obligations
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In respect of FX accumulators, as reiterated in our previous circulars6
, in order to
ensure compliance with applicable regulatory requirements, AIs should implement
proper policy, procedures and controls, provide proper staff training, and maintain
proper record in respect of assessing the hedging need of customers; the amount
needed to be hedged; whether the product is a proper hedging tool; and whether the
maximum exposure in the FX accumulator contracts is appropriate. In performing
these assessments, AIs should understand and have due regard to the customer’s
circumstances, such as the amount and timing of customer’s anticipated cash-flows
and other exposure in respect of the relevant currencies.
For AIs which adopt “unsolicited” transactions model, they should have proper policy,
procedures and controls to ensure that such model will not be abused to circumvent
their internal policy and/or regulatory requirements. These include clear guidance to
relevant staff, effective review mechanism to test check compliance, appropriate MIS
reports for senior management and relevant control units to help identify possible
abuse by sales staff, and proper follow-up actions to address issues identified.
AIs should exercise professional judgement and take into account the customer’s
circumstances in identifying VCs. Proper documentation should be maintained for
the assessment done. AIs should regularly update customer profiles, including their
VC status as appropriate. The VC status should be readily accessible to sales staff.
AIs should disclose the monetary benefits that are receivable by it and/or any of its
associates as a percentage ceiling of the investment amount or the dollar equivalent on
that particular transaction
7
.
- Monitoring and review
4.1 Some AIs’ compliance reviews only covered a very small fixed number of
investment transactions which was not commensurate with their business
volume. Their review frequency of high risk transactions was also inadequate.
4.2 Reporting errors (e.g. omission and misclassification) and late submission of
information to the HKMA were noted, indicating the need for enhancement of
monitoring and MIS for drawing management attention to risk areas.
6
“Selling of Accumulators” of 22 December 2010 and “Foreign Exchange Accumulators and
Non-leveraged Renminbi-Linked Deposits” of 7 March 2014
7
Paragraph 8.3 of the SFC’s Code of Conduct
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Regulatory standards
AIs should put in place adequate monitoring and review mechanism to ensure
compliance with applicable laws and regulations. There should be appropriate
systems and controls to ensure the accuracy, completeness and timeliness of the MIS
reports for senior management, as well as the information for submission to regulators.
As part of the business monitoring, AIs are expected to monitor the business volume
and trends, and uncover the reasons for any material variances. For new business
line/unit or new product to be launched, AIs should consider any related reporting
obligation(s). In case of material reporting error, the AI should identify the root
cause and ensure all related errors are revealed and rectified.
In respect of compliance reviews, AIs should adopt a risk-based approach in
determining the scope, focus, sample size, and frequency. AIs should also ensure
that any deficiencies identified are rectified within a reasonable timeframe.
- Staff training
5.1 The HKMA encourages registered institutions which operate as private banks or
have dedicated private banking units (collectively “private banks”) to adopt the
Enhanced Competency Framework for Private Wealth Management
Practitioners (“PWM ECF”). The HKMA’s survey results revealed that while
private banks in general have adopted the PWM ECF to enhance the initial
competence of their Relevant Practitioners, some private banks did not take
steps to support and monitor their Relevant Practitioners (in particular those
who are not Certified Private Wealth Professionals (“CPWP”)) to complete 10
hours of private wealth management-related on-going professional training
(“OPT”) in each calendar year as advocated under the PWM ECF. On the
other hand, some private banks have taken concrete measures in this aspect, and
some good practices are highlighted below:
(a) updating internal policies and procedures to require all Relevant Practitioners
(including non-CPWPs) to fulfil 10-hour OPT in each calendar year;
(b) arranging relevant in-house courses;
(c) providing sponsorship to staff who have completed relevant courses held by
external professional training institutes;
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(d) keeping OPT records properly, and issuing regular progress reports for the
management to review and monitor relevant staff’s fulfilment of sufficient
OPT hours; highlighting and/or escalating outstanding cases at appropriate
points of time before year-end to relevant parties for follow-up.
Good practices
Some AIs arranged staff to participate in relevant industry competitions/awards which
fostered technical and compliance knowledge, ethical standards and best practices.
These initiatives help provide additional means to promote staff competence and
ethics apart from structured training.
Regulatory standards
In the Supervisory Policy Manual (“SPM”) module CG-6 “Competence and Ethical
Behaviour”, the HKMA emphasizes the responsibility of an AI’s Board of Directors
and senior management in ensuring staff competence and ethical behaviour, including
monitoring and reviewing the knowledge, skills and performance of individual staff
members; providing relevant and timely training to ensure continuing competence of
staff members; and addressing any identified failings or gaps in a timely fashion. In
line with the SPM CG-6, private banks are reminded that they are expected to take
concrete measures to support and to monitor all Relevant Practitioners to complete not
less than 10 hours of private wealth management-related OPT in each calendar year.
AIs are expected to provide adequate, suitable and timely training and guidance on an
on-going basis to their staff on relevant matters, such as updates of regulatory
requirements and standards; issues identified from various sources; changes in
internal policies, procedures and practices; and market and product developments.