FRM Part II · FRM Exam Part II · Portfolio Credit Risk
A bank compares KMV Portfolio Manager with CreditMetrics. Which difference is most accurate?
KMV derives obligor-specific expected default frequencies from equity prices and leverage using a Merton-type structural model, while CreditMetrics typically relies on historical rating transition matrices. Both use correlated asset returns, and neither is the actuarial Poisson approach, which is CreditRisk+.
- AKMV uses equity-market-based expected default frequencies (EDFs) from a structural model, whereas CreditMetrics typically uses historical rating transition matricesCorrect
- BKMV ignores asset correlation, whereas CreditMetrics requires it
- CKMV is an actuarial Poisson model, whereas CreditMetrics is a structural model
- DKMV measures only expected loss, whereas CreditMetrics measures only unexpected loss
Explanation
KMV derives obligor-specific EDFs from equity prices and leverage via a Merton-type structural model, so default probabilities change continuously. CreditMetrics uses discrete rating categories and historical transition probabilities. Both use correlated asset values, and neither is a Poisson model.
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