
Answer-first summary for fast verification
Answer: 8.9%
## Explanation **D is correct.** The standard deviation of losses for each individual loan is calculated as: $$\sigma = \sqrt{p - p^2} \left[ L(1 - R) \right]$$ Where: - $p$ = probability of default = 0.04 - $L$ = exposure at default = 500,000 - $R$ = recovery rate = 0.3 $$\sigma = \sqrt{0.04 - 0.04^2} \left[ 500,000 * (1 - 0.3) \right]$$ $$\sigma = \sqrt{0.04 - 0.0016} \left[ 500,000 * 0.7 \right]$$ $$\sigma = \sqrt{0.0384} \left[ 350,000 \right]$$ $$\sigma = 0.19596 * 350,000 = 68,585.71$$ The standard deviation of losses on the portfolio of $n$ loans as a percentage of its size is then calculated as: $$\alpha = \frac{\sigma \sqrt{1 + (n - 1)\rho}}{L \sqrt{n}}$$ Where: - $n$ = number of loans = 30 - $\rho$ = average pairwise default correlation = 0.4 $$\alpha = \frac{68,585.71 \sqrt{1 + (30 - 1) * 0.4}}{500,000 \sqrt{30}}$$ $$\alpha = \frac{68,585.71 \sqrt{1 + 29 * 0.4}}{500,000 * 5.4772}$$ $$\alpha = \frac{68,585.71 \sqrt{1 + 11.6}}{2,738,612.5}$$ $$\alpha = \frac{68,585.71 \sqrt{12.6}}{2,738,612.5}$$ $$\alpha = \frac{68,585.71 * 3.5496}{2,738,612.5}$$ $$\alpha = \frac{243,500}{2,738,612.5} = 0.08890 \text{ or } 8.9\%$$ This calculation accounts for the correlation between defaults in the portfolio, which increases the portfolio standard deviation compared to uncorrelated defaults.
Author: LeetQuiz .
Ultimate access to all questions.
No comments yet.
A risk analyst at a bank is estimating the distribution of credit losses for a portfolio of 30 identical loan exposures. The analyst assumes that the credit losses follow a binomial distribution. Each loan has the following characteristics:
What is the standard deviation of losses on the loan portfolio expressed as a percentage of the size of the portfolio?
A
3.8%
B
5.8%
C
7.8%
D
8.9%