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Kreditrisikomodelle (Merton, KMV, CreditMetrics)×Value-at-Risk (VaR) Backtesting×
FachgebietFinanzwirtschaftFinanzwirtschaft
FamilieRegression modelRegression model
Entstehungsjahr19741998
UrheberRobert C. Merton (structural model); J.P. Morgan / Gupton et al. (CreditMetrics)Kupiec (1995); Christoffersen (1998); Engle & Manganelli (DQ test)
TypStructural and portfolio credit risk modelStatistical hypothesis tests on VaR violation sequences
Wegweisende QuelleMerton, R. C. (1974). On the Pricing of Corporate Debt: The Risk Structure of Interest Rates. The Journal of Finance, 29(2), 449-470. DOI ↗Kupiec, P. H. (1995). Techniques for Verifying the Accuracy of Risk Measurement Models. The Journal of Derivatives, 3(2), 73-84. DOI ↗
AliasnamenMerton model, KMV model, CreditMetrics, structural credit risk modelVaR backtest, Kupiec test, Christoffersen test, Dynamic Quantile test
Verwandt53
ZusammenfassungCredit risk models estimate the probability that a borrower defaults and the resulting distribution of credit losses. The structural approach was introduced by Robert C. Merton in 1974, treating a firm's equity as a call option on its assets, and was later extended into the KMV distance-to-default framework and the CreditMetrics rating-transition portfolio model published by J.P. Morgan in 1997.VaR backtesting is a family of statistical tests that validate a risk model by comparing its Value-at-Risk forecasts against realised losses. It builds on Kupiec's (1995) unconditional coverage test, Christoffersen's (1998) conditional coverage test, and the Engle-Manganelli Dynamic Quantile (DQ) test.
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ScholarGateMethoden vergleichen: Credit Risk Models · VaR Backtesting. Abgerufen am 2026-06-17 von https://scholargate.app/de/compare