In: Finance
Consider a portfolio of three bonds A, B and C. The credit exposure (CE) and default probabilities (p) are given in the following table: Issue CE
p A 30 0.12
B 20 0.05
C 50 0.1
Assume that the defaults are independent across the three bonds. Calculate the mean and variance of the expected losses. Comment on the results.
Given Information:
Issue | Credit Exposure (CE) | Default Probabilities (p) |
A | 30 | 0.12 |
B | 20 | 0.05 |
C | 50 | 0.1 |
Notes:
1. Credit Exposure is a measurement of the maximum potential loss to a lender if the borrower defaults on payment. e.g. If a bank has issued a total loan of $ 10 million, its credit exposure is $ 10 million.
2. Default probability is the probability of a borrower defaulting on payments. The probability is applied to the credit exposure to arrive at the expected loss i.e. Expected Loss = Credit Exposure * Default probability
Hence, expected loss for the 3 issues are:
A = 30 * 0.12 = 3.6
B = 20 * 0.05 = 1
C = 50 * 0.1 = 5
a. Mean of expected Loss (EL):
Mean of expected loss is the average of expected losses calculate above.
Mean (μ) =
Mean (μ) = (3.6 + 1 + 5) / 3
Mean (μ) = 3.2
b. Variance of expected loss (Var):
Variance is the measure of variability of returns. It denotes the spread of returns i.e. how far is each measure from its mean. A large variance denotes greater risk, as in a bad economy, the expected loss can surpass the risk appetite of the lender.
Variance (Var) =
Expected Loss (EL) | EL - μ | (EL - μ)2 |
3.6 | 0.4 (3.6 - 3.2) | 0.16 |
1 | -2.2 (1 - 3.2) | 4.84 |
5 | 1.8 (5 - 3.2) | 3.24 |
8.24 |
Variance = 8.24 / 3
Variance = 2.747