the basel ii rwa formula

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The Basel II Risk-Weighted Assets Formula Michael Walker [email protected] 2004/02/02 Vasicek 1 considers the fractional number of defaults in a portfolio of a large number of risky correlated loans. He finds that the probability that the fractional number of defaults is less that θ is W (θ)= N 1 - RN -1 (θ) - N -1 (PD) R . where PD is the probability of default on a single loan and R is the correlation parameter, assumed the same for all pairs of loans. Define the “fractional defaults at risk,” FDaR, to be the fractional number of defaults that will not be exceeded within a 99.9% confidence level. Then W (F DaR)=0.999 Solving for FDaR gives F DaR = N " N -1 (PD)+ RN -1 (0.999) p (1 - R) # . As stated above, this calculation is valid in the limit that the number of loans in the portfolio becomes very large. In this limit, and in the absence of correlation (i.e. R 0) the binomial distribution for the fractional number of defaults θ is accurately described by a one-point density with its weight concentrated at θ = PD. Thus FDaR = PD. Also, for very strong correlation (i.e. R 1), the distribution of fractional defaults is described by a two-point density with weight 1 - PD at θ = 0 and weight PD at θ = 1. Thus FDaR = 1 for PD> 0.001, while FDaR = 0 for PD< 0.001. These intuitive results are in agreement with those of the above formula. The Basel II formula for (corporate, etc.) risk-weighted assets is now Risk-Weighted Assets = 12.50 × FDaR × LGD × EAD × M atAd, where LGD is the loss given default, EAD is the exposure at default, and M atAd is a maturity adjustment. Taking 8% of the risk-weighted assets gives the maximum loss at the 99.9% confidence level, and the required buffer capital is set equal to this loss. The formula for the correlation parameter given in Basel II, which has an empirical basis, 2 can be simplified to R =0.12[1 + exp(-50PD)]. The maturity adjustment given in Basel II has the form M atAd = 1+(M - 2.5) × b × PD 1 - 1.5 × b × PD where b = [0.08451 - 0.05898 × log(PD)] 2 . Here M is an effective maturity, constrained to lie between one year and 5 years (IRB approach). In the calculation of F DaR, losses are deemed to occur only in the event of default. However, it is clear that when, say, a two-year AA-rated loan downgrades after one year to grade BB, there are also credit losses which should be taken into account. 3 There is of course no such adjustment, i.e. M atAd =1, when the effective maturity M equals the time horizon of one year. This intuition is in agreement with the above formula for M atAd. 1 O. Vasicek, Probability of Loss on a Loan Portfolio, KMV (1987,1991). 2 Jose A. Lopez, The Empirical Relationship between Average Asset Correlation, Firm Probability of Default and Asset Size, (find using Google). 3 Michael B Gordy, A Risk-Factor Model Foundation for Ratings-Based Bank Capital Rules, J. Fi- nancial Intermediation 12, 199 (2003).

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Page 1: The Basel II RWA Formula

The Basel II Risk-Weighted Assets FormulaMichael Walker

[email protected]/02/02

Vasicek1 considers the fractional number of defaults in a portfolio of a large number of riskycorrelated loans. He finds that the probability that the fractional number of defaults is less that θ is

W (θ) = N

[√1−RN−1(θ)−N−1(PD)√

R

].

where PD is the probability of default on a single loan and R is the correlation parameter, assumedthe same for all pairs of loans.

Define the “fractional defaults at risk,” FDaR, to be the fractional number of defaults that willnot be exceeded within a 99.9% confidence level. Then

W (FDaR) = 0.999

Solving for FDaR gives

FDaR = N

[N−1(PD) +

√RN−1(0.999)√

(1−R)

].

As stated above, this calculation is valid in the limit that the number of loans in the portfoliobecomes very large. In this limit, and in the absence of correlation (i.e. R → 0) the binomialdistribution for the fractional number of defaults θ is accurately described by a one-point densitywith its weight concentrated at θ = PD. Thus FDaR = PD. Also, for very strong correlation(i.e. R → 1), the distribution of fractional defaults is described by a two-point density with weight1− PD at θ = 0 and weight PD at θ = 1. Thus FDaR = 1 for PD > 0.001, while FDaR = 0 forPD < 0.001. These intuitive results are in agreement with those of the above formula.

The Basel II formula for (corporate, etc.) risk-weighted assets is now

Risk-Weighted Assets = 12.50× FDaR× LGD × EAD ×MatAd,

where LGD is the loss given default, EAD is the exposure at default, and MatAd is a maturityadjustment. Taking 8% of the risk-weighted assets gives the maximum loss at the 99.9% confidencelevel, and the required buffer capital is set equal to this loss.

The formula for the correlation parameter given in Basel II, which has an empirical basis,2 canbe simplified to

R = 0.12[1 + exp(−50PD)].

The maturity adjustment given in Basel II has the form

MatAd =1 + (M − 2.5)× b× PD

1− 1.5× b× PD

whereb = [0.08451− 0.05898× log(PD)]2.

Here M is an effective maturity, constrained to lie between one year and 5 years (IRB approach).In the calculation of FDaR, losses are deemed to occur only in the event of default. However, it isclear that when, say, a two-year AA-rated loan downgrades after one year to grade BB, there arealso credit losses which should be taken into account.3 There is of course no such adjustment, i.e.MatAd = 1, when the effective maturity M equals the time horizon of one year. This intuition isin agreement with the above formula for MatAd.

1 O. Vasicek, Probability of Loss on a Loan Portfolio, KMV (1987,1991).2Jose A. Lopez, The Empirical Relationship between Average Asset Correlation, Firm Probability ofDefault and Asset Size, (find using Google).3Michael B Gordy, A Risk-Factor Model Foundation for Ratings-Based Bank Capital Rules, J. Fi-nancial Intermediation 12, 199 (2003).

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