Rule · RBNZ · 17 May 2022
The Reserve Bank of New Zealand issued this paper to define the risk weighting structure for the Non-Bank Deposit Taker capital adequacy regime. It establishes specific risk weights for asset classes including residential mortgages, personal loans, business loans, and property development based on calibrated models and regulatory judgments. The framework differentiates NBDTs from banks by excluding explicit loan commitment charges and adopting a through-the-cycle approach to default risk assessment.
Non-Bank Deposit Taker (NBDT) Capital Policy Paper Subject: The risk weighting structure of the NBDT capital adequacy regime Author: Ian Harrison Date: 3 November 2009 Introduction
This paper sets out, and explains the logic behind, the calibration of the
exposure risk weighting structure of the NBDT capital adequacy regime.
It is important to note that while we have used models with well defined analytical
structures to help us calibrate the NBDT risk weightings these models have been only one input in the decision making process. We have also had regard to our broader understanding of the nature of risk in loan and asset portfolios; our knowledge of the relative performance of banks and non-banks over the recent economic downturn; and industry practice as expressed in the capital adequacy requirements in some NBDT trust deeds. While we have used particular inputs in various models to generate exact risk weight outcomes, we do not want to give the sense that risk can be calibrated with the precision that these numbers suggest. In practice, we have used the model outputs as a guide to identify appropriate risk weightings for each particular asset class from a limited set of ‘round number’ risk weights.
The NBDT framework recognises the following loan and asset types. They are:
(a) Loans fully secured by residential mortgages; (b) Personal loans under $40,000; (c) Business loans (non property development); (d) Property development loans; (e) Other loans; (f) Operating leases; (g) Investments; and (h) Other assets. The rest of the paper describes the risk weight or weights that apply to each asset class and how these were derived. The first section focuses on residential housing lending. The second section summarises the treatment of each of the asset types listed above, and the final section briefly outlines the treatment of market and operational risk.
Residential Housing Lending
4. The structure of NBDT and standardised bank risk weights for residential housing
loans are set out in Table 1.
Table 1: NBDT and Bank housing lending risk weights
LVR
Risk weights (%)
NBDT Basel II standardised
70% and under 35 35
70-80% 50 35
80-90% 100 50
90-100% 125 75
Housing NZ insured 20 50 or 75
Other mortgage insurance Not recognised 50 or 75 if compliant
prices. The effect of the difference in assumption about house price volatility is to add about 10-15 percent to required capital.
8. The risk weights for LVR buckets that are over 80 percent are higher than those in
the standardised bank framework. The differences reflects the following factors:
this undesirable characteristic. In the NBDT model the additional risk and capital for defaulted loans is implicitly subsumed within the long run average risk weight. Valuation of the security
13. In the banking model banks must use the value of the security at the orgination of
the loan (a subsequent advance would bring the origination date forward) to calculate LVRs. With the NBDT model an NBDT may use an updated independent valuation. The reason why the origination requirement was applied in the banking model was that at the time the bank model was being calibrated house prices were increasing rapidly. Allowing banks to use current valuations would have seen LVRs, and hence measured risk and capital, fall at a time when the Reserve Bank thought that risks in the sector could actually be increasing because of the possibility that banks were lending into a house price bubble. Now that the housing market has turned there is no need to apply this conservative valuation requirement and NBDTs can use their current valuations. Treatment of Housing New Zealand Welcome Home loans and guarantees
translated into the advanced bank capital adequacy framework (document BS2B). This equation, which is set out in appendix one, is used to generate the capital requirement for the New Zealand advanced modelling banks’ non-residential mortgage retail exposures.
20. The retail loan capital equation has three inputs: the long run probability of default
(PD); the downturn loss given default (LGD); and the default correlation coefficient. The banks provide estimates of the first two inputs for a set of relatively homogeneous risk buckets while the correlation coefficient, which is a measure of how sensitive a loan portfolio is to systematic risk, is built into the capital equation. This coefficient (which also has some sensitivity to the PD input) is calibrated at a lower level than that for commercial lending portfolios. This is designed to reflect the lower sensitivity of wage and salary incomes, compared to business incomes, to systematic economic shocks.
21. The Basel II correlation coefficients were largely calibrated off international
banks’ economic capital models. Given the poor performance of many of those models, in particular their failure to adequately understand sensitivities to systematic shocks, there is a question as to whether the Basel correlation coefficients are high enough. For the purpose of this exercise, however, we took the existing Basel II retail correlation as a given.
22. The average LGD used by banks for the calculation of retail lending risk weight is
around 70 percent. For NBDTs we have assumed a 60 percent LGD reflecting the value of security. Combined with a long run PD of 3 percent, which is around the bank average, the retail capital adequacy equation generates a risk weight of about 85 percent. Having regard to a 1.06 multiplicative scalar that is applied to all risk weights in the bank regime, and making some allowance for loan commitments, we concluded that a risk weight of 100 percent was appropriate for secured NBDT personal loans.
23. It is important to note that the LGDs used in the Basel II framework are
‘downturn’ LGDs. That is, they are the losses that would be experienced in the acute downturn that the capital model is calibrated to. Mathematically it can be described as a 1:1000 shock in a world where asset prices are normally distributed. In the real world, where asset price distributions have ‘fat tails’ and the probability of large shocks is much more prevalent than a normal distribution would suggest, the odds of an acute downturn that would absorb all of the capital committed to the loan exposure are much lower than 1 in 1000. A once in a lifetime is a reasonable characterisation of the likelihood. Even so, this is a much more acute shock than most NBDTs are likely to have experienced over their history and LGD outcomes will be much worse than they would have experienced in more moderate downturns.
24. The loss given default measure also includes losses beyond the loss of principal. It
includes administrative and other costs in dealing with the defaulted loan and recovering monies, and a time value cost because of the time taken to recover loan monies from the point a loan goes into default.
We have used the corporate loan capital equation in the advanced bank capital
adequacy framework and the LGDs used in the ‘foundation’ version of the advanced regime to calibrate NBDT risk weights for the above loan categories.
The advanced model has two equations for calculating corporate exposure risk
weights. The first is the standard equation which requires inputs for PD, LGD and loan maturity and which embeds an asset correlation coefficient assumption. The second equation makes a downward adjustment to the correlation coefficient for small and medium enterprises. The latter equation reflects the assumption that smaller businesses are less exposed to systematic risks than larger firms and that the smaller the firm the less sensitive to systematic risks it is. A firm size adjustment factor based on the borrowing firms’ revenue is used to adjust the correlation coefficient.
In our view the second equation is likely to understate the sensitivity to systematic
risks of small firms in New Zealand. There is no evidence that smaller firms are less sensitive to systematic shocks than large firms. Rather, firms of all sizes are likely to be more exposed to systematic shocks than is the international norm because the New Zealand economy is more exposed to terms of trade shocks. Accordingly we have not applied the concessional correlation adjustment in our assessment of NBDT capital requirements.
The other inputs into the capital requirement equation were handled as follows.
With respect to loan maturity the average maturity was assumed to be the default
setting (2.5 years) in the IRB model. The capital requirement is not very sensitive to the maturity input so an alternative assumption would not have made much difference to our analysis. For example, reducing the average maturity input from
2.5 to 2 years reduces the risk weight by around 4 percent.
Our downturn LGD inputs had regard to the LGDs that are specified in the Basel
framework for the 'foundation'1 version of the IRB model. The lowest LGD is 35 percent for exposures that are well secured by real estate collateral and the highest is 75 percent for subordinated exposures. With respect to PDs we have had regard to the PDs reported by banks in their capital adequacy disclosures and have used a default rate of 2 percent as a starting point. Table 2 sets out an array of risk weights for different PDs and LGDs. Note that the risk weights are relatively insensitive to PDs.
Table 2: Commercial lending risk weights using IRB model
LGD % 35 55 75
PD%
2.0 89 140 191
2.5 95 149 203
3.0 100 157 214
We also had regard to the following factors in assessing the NBDT risk weights:
1 In the foundation version of the IRB model LGDs are taken from the Basel framework or are specified by the supervisor rather than being calculated by the IRB bank.
With both of these parameters we did not have the benefit of empirical inputs
from recent finance company loss experiences. We are not aware that any useful summary data has been compiled. If it were we suspect that both the PD and LGD data would suggest higher inputs than those set out above.
The risk weight generated by the capital equation is 260 percent. Adjusting for the
bank calibration factor of 1.06 and making an allowance for loan commitments and the other factors discussed above, leads us to a risk weight of 300 percent.
For first ranking loans with an LVR of over 60 percent and less than 100 percent
we have made intermediate assumptions about the LGD and PD that suggest a risk weight of 200 percent is appropriate. Operating Leases
In the first version of the NBDT capital framework operating leases were treated
as other assets with a risk weight of 500 percent. We have now taken the view that these assets have risk characteristics which are more like that of a loan than an equity interest in real property. We have taken the medium risk commercial loan risk weight of 150 percent as a starting point and applied an increase of 25 percentage points to take account of the increased risk because of the residual interest in the value of the leased asset. Other Assets
The risk weight for other assets is 350 percent down from the 500 percent in the
initial proposal. The 350 percent reflects the volatility of land and building values which is the primary asset in this risk category.
In the banking regime other assets are risk weighted at 100 percent. This weight
is inappropriately low but is not material to banks which, as a group, hold little real property. Investments
The risk weight for investments is 600 percent. This compares with risk weights
of 300 percent for exchange traded equities and 400 percent for non-exchanged traded investments in the banking regime. The banking regime numbers are taken from the Basel II framework.
In our view the 300 percent risk weight does not take adequate account of the
volatility of New Zealand listed shares and a risk weight of 600 percent is required to absorb shocks of over two standard deviations that is implied by the calibration of the capital model. A case could be made for applying a higher risk weight than the 600 percent to non-exchange trade investments because of the additional risk relating to the lower degree of transparency in the pricing of these assets. It was decided to leave this problem for trustees to deal with by the imposing of a suitably higher minimum capital ratio if the risk issues here were to become material in any particular case. Market and Operational risk
Capital for market and operational risk exposures are generated by a scalar of an
average of balance sheet and risk weighted assets. The scalar is derived from
bank information but has been increased up to reflect the fact that operational risk is relatively greater (compared to balance sheet size) for smaller institutions.
51. The underlying bank numbers which provided the basis for setting the scalar are
predominantly driven by operational risk. The market risk component of the bank numbers are almost entirely driven by interest rate risk in the banking book. These risks primarily reflect the fact that banks cannot entirely hedge the economic effect of interest rate changes due to behavioural and operational factors. These behavioural and operational factors also typically apply to NBDTs. Interest rate and exchange rate risk in the trading book account for only a very small part of banks’ market risk capital calculations. Thus banks’ trading activities do not generate a material part of the bank capital comparator which the NBDT operational and market risk capital requirement has been calibrated to. Contacts
52. In the first instance, any enquiries on the issues discussed in this paper can be
directed to the author, Ian Harrison:
Tel: 04 4713756
Fax: 04 4723262
E-mail: ian.harrison@rbnz.govt.nz
Appendix one
Capital requirement equations
Corporate
Other Retail
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