
Explanation:
The Worst-Case Default Rate (WCDR) at the 99.9% confidence level is calculated using the Vasicek model formula:
Given the variables:
Substitute the values:
Using the standard normal cumulative distribution, .
The Unexpected Loss (which matches Credit VaR per Malz definition) is defined as the difference between the Worst-Case Loss and the Expected Loss:
Given that Recovery Rate is 50.0%, . UL = (15.69\% - 2.00\%) \times 50.0\% \times \`$100.0` \text{ million} UL = 13.69\% \times \`$50.0` \text{ million} = \`$6.84`5 \text{ million}
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311.2. Hull⁶ also employs the same single-factor Credit VaR model, in this case, X = 99.9% to signify the desired confidence level that happens to match the confidence level built into Basel's internal ratings-based (IRB) Credit VaR formula:
This returns a worst-case default rate given an average default probability, PD, and copula correlation parameter, rho. As Malz⁷ discusses, correlation equals beta^squared.
If a bank holds a highly granular $100.0 million portfolio of retail exposures with average one-year default probability of 2.0% and an average recovery rate of 50.0%, where the copula correlation parameter is estimated as 0.130, which is nearest the 99.9% one-year credit VaR, per Malz⁷ definition which is an unexpected loss?
A
$4.030 million
B
$6.845 million
C
$9.720 million
D
$17.630 million
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