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מודלים של סיכון אשראי (Merton, KMV, CreditMetrics)×בדיקת ערך בסיכון (VaR) לאחור×
תחוםמימוןמימון
משפחהRegression modelRegression model
שנת המקור19741998
הוגה השיטהRobert C. Merton (structural model); J.P. Morgan / Gupton et al. (CreditMetrics)Kupiec (1995); Christoffersen (1998); Engle & Manganelli (DQ test)
סוגStructural and portfolio credit risk modelStatistical hypothesis tests on VaR violation sequences
מקור מכונןMerton, 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 ↗
כינוייםMerton model, KMV model, CreditMetrics, structural credit risk modelVaR backtest, Kupiec test, Christoffersen test, Dynamic Quantile test
קשורות53
תקצירCredit 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.
ScholarGateמערך נתונים
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  2. 2 מקורות
  3. PUBLISHED
  1. v1
  2. 2 מקורות
  3. PUBLISHED

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ScholarGateהשוואת שיטות: Credit Risk Models · VaR Backtesting. אוחזר בתאריך 2026-06-17 מתוך https://scholargate.app/he/compare