FRM Part II · FRM Exam Part II · Credit Value at Risk
A bank's risk team compares its credit VaR output with the portfolio's realised loss history. Over many years, the annual losses have exceeded the 99.9% credit VaR estimate in several years, far more than the roughly one-in-a-thousand frequency implied. Which conclusion is most appropriate?
Frequent breaches of a 99.9% credit VaR far exceed the expected one-in-a-thousand frequency, so the model is probably understating tail risk. Typical causes are understated default correlations, unrepresentative PD inputs or ignored systematic factors. It is not conservative or evidence of diversification.
- AThe model is probably underestimating tail risk, for example through understated correlations or unrepresentative inputsCorrect
- BThe model is conservative because the confidence level is very high
- CThe exceedances show the portfolio is well diversified
- DThe result is expected because credit VaR is measured over a one-day horizon
Explanation
At 99.9% confidence, exceedances should occur about once in a thousand years. Several breaches in a modest history indicate the model understates tail losses, commonly because of understated default correlation, stale PDs or ignored systematic factors. The other options misread what frequent breaches imply.
Did you get it right without looking?
One question tells you little. A timed set on Credit Value at Risk shows your real accuracy, how long you take and where you lose marks.
More Credit Value at Risk questions
- A portfolio has 100 independent loans, each USD 1 million exposure, LGD 100%, default probability 4%. Using a normal approximation to the nu…
- A bank's credit risk team computes expected loss on a corporate term loan using the standard decomposition. Which expression correctly gives…
- A bank has 5 year cumulative default probabilities for a BB-rated obligor. The cumulative PD at 1 year is 2.0% and at 2 years is 5.0%. Assum…
- A CreditRisk+ portfolio has an expected loss of USD 12 million. In the extended model, default rates are driven by a single gamma-distribute…
- A risk analyst uses the Vasicek single-factor model to estimate the worst-case default rate (WCDR) of a large homogeneous loan portfolio at …
- A loan portfolio has exposure of USD 500 million, LGD of 40% and a one-year PD of 2% per loan. A Vasicek model gives a 99.9% worst-case defa…