FRM Part II · FRM Exam Part II · Introduction to Credit Risk Modeling and Assessment
A credit portfolio manager compares two portfolios with identical expected loss. Portfolio X is diversified across many obligors and industries. Portfolio Y has the same total exposure but is concentrated in a few large borrowers in one sector. Which statement about credit VaR at a high confidence level is most accurate?
Portfolio Y, which is concentrated in few borrowers in one sector, has higher unexpected loss and credit VaR. Expected loss is the same, but concentration and higher default correlation fatten the right tail of the loss distribution, so more capital is needed.
- APortfolio X has the higher unexpected loss because diversification increases default correlation.
- BBoth portfolios have equal credit VaR because expected loss is equal.
- CPortfolio Y has the higher unexpected loss and credit VaR because concentration and correlation fatten the tail of the loss distribution.Correct
- DPortfolio Y has lower credit VaR because large exposures default less often.
Explanation
Expected loss depends only on PD, LGD and EAD, but the tail depends on concentration and default correlation. Portfolio Y's loss distribution is more skewed with a fatter tail, so its unexpected loss and credit VaR are higher. Equal expected loss does not imply equal tail risk.
Did you get it right without looking?
One question tells you little. A timed set on Introduction to Credit Risk Modeling and Assessment shows your real accuracy, how long you take and where you lose marks.
More Introduction to Credit Risk Modeling and Assessment questions
- A bank has a committed revolving credit line with a limit of USD 20 million, of which USD 8 million is currently drawn. The credit conversio…
- A bank's scorecard was developed on data from an expansion period with low defaults. During a downturn, the model's ranking of borrowers rem…
- A risk manager observes that a bond's credit spread has doubled from 100 bp to 200 bp while the assumed recovery rate stays at 50%. Under a …
- A bank builds a retail credit scorecard using logistic regression to predict default within 12 months. A risk analyst notes that the model o…
- A bank validates a retail scorecard and finds that the cumulative distribution of scores of defaulters and non-defaulters has a maximum vert…
- A risk analyst compares two firms with identical asset value and identical zero-coupon debt face value and maturity in a Merton framework. F…