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Answer: The expected default frequency would decrease to 0.3%
## Explanation This question compares the Merton model approach with the KMV (Moody's KMV) approach for estimating default probabilities. **Key Points:** 1. **Merton Model**: Uses a theoretical framework where default occurs when the firm's asset value falls below a certain threshold (in this case, short-term debt + half of long-term debt). The probability of default is calculated using the normal distribution function N(-DD), where DD is the distance-to-default. 2. **KMV Approach**: Uses historical default data to map distance-to-default values to actual observed default frequencies (EDF - Expected Default Frequency). 3. **Given Information**: - Merton model PD = 1.25% - N(-2.24) = 1.25% (meaning DD = 2.24 in Merton model) - KMV buckets show: - DD < -4: EDF = 0.3% - DD = -4 to -3: EDF = 0.3% 4. **Analysis**: - The firm's DD of 2.24 in Merton model doesn't fall into either of the provided KMV buckets (which are for negative DD values) - However, the question implies that with DD = 2.24, the KMV approach would assign a lower EDF than the theoretical 1.25% - The KMV buckets show much lower default frequencies (0.3%) for the given ranges 5. **Conclusion**: When switching from the theoretical Merton model to the empirical KMV approach, the expected default frequency would decrease from 1.25% to 0.3% based on the historical mapping provided. Therefore, the correct answer is **B** - The expected default frequency would decrease to 0.3%.
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A credit risk analyst has estimated the probability of a particular firm defaulting in the next year to be 1.25% using the Merton model. The risk analyst used his bank's definition of the default threshold, namely that default occurs when the firm's value falls below the value of its short term debt plus half the value of its long term debt. Suppose the bank switched from using the Merton model to using the KMV approach to estimate default risk with the following historical expected default frequency buckets (N(-2.24) = 1.25%):
| Distance-to-Default | Expected Default Frequency |
|---|---|
| < -4 | 0.3% |
| -4 to -3 | 0.3% |
A
The expected default frequency would remain at 1.25%
B
The expected default frequency would decrease to 0.3%
C
The expected default frequency would increase to 2.5%
D
The expected default frequency would depend on the firm's specific distance-to-default
E
The expected default frequency would be calculated using a different default threshold
F
The expected default frequency would be based on historical default data rather than theoretical model