
Explanation:
To calculate the standard deviation of portfolio losses, we need to compute:
Step 1: Calculate individual loan standard deviations
The formula for standard deviation of losses for each loan is:
σᵢ = √[pᵢ − pᵢ²] × [Lᵢ(1 − Rᵢ)]
Where:
For Loan 1:
For Loan 2:
Step 2: Calculate portfolio variance
The portfolio variance formula is:
σₚ² = Σ(i=1 to n) Σ(j=1 to n) ρᵢⱼ σᵢ σⱼ
For two loans: σₚ² = σ₁² + ρ₁₂ σ₁ σ₂ + ρ₁₂ σ₂ σ₁ + σ₂² = σ₁² + 2ρ₁₂ σ₁ σ₂ + σ₂²
Where ρ₁₂ = 0.6
σₚ² = (1.26)² + 2 × 0.6 × 1.26 × 2.1 + (2.1)² = 1.5876 + 3.1752 + 4.41 = 9.1728
Step 3: Calculate portfolio standard deviation
σₚ = √σₚ² = √9.1728 = CNY 3.0287 million ≈ CNY 3.03 million
Therefore, the correct answer is CNY 3.03 million.
Ultimate access to all questions.
A risk manager at a bank is speaking to a group of analysts about estimating credit losses in loan portfolios. The manager presents a scenario with a portfolio consisting of two loans and provides information about the loans as given below:
| Loan 1 | Loan 2 | |
|---|---|---|
| Amount borrowed | CNY 15 million | CNY 20 million |
| Probability of default | 2% | 2% |
| Recovery rate | 40% | 25% |
| Default correlation between Loan 1 and Loan 2 | 0.6 |
Assuming portfolio losses are binomially distributed, what is the estimate of the standard deviation of losses on the portfolio?
A
CNY 1.38 million
B
CNY 1.59 million
C
CNY 3.03 million
D
CNY 3.36 million
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