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عوامل ریسک مولفه‌های اصلی×مدل‌های ریسک اعتباری (مرتون، KMV، CreditMetrics)×
حوزهمالیمالی
خانوادهRegression modelRegression model
سال پیدایش19911974
پدیدآورLitterman & Scheinkman (bond-return factors); Connor & Korajczyk (statistical APT factors)Robert C. Merton (structural model); J.P. Morgan / Gupton et al. (CreditMetrics)
نوعStatistical factor model (dimension reduction)Structural and portfolio credit risk model
منبع بنیادینLitterman, R. & Scheinkman, J. (1991). Common Factors Affecting Bond Returns. Journal of Fixed Income, 1(1), 54-61. DOI ↗Merton, R. C. (1974). On the Pricing of Corporate Debt: The Risk Structure of Interest Rates. The Journal of Finance, 29(2), 449-470. DOI ↗
نام‌های دیگرrisk factor PCA, return covariance decomposition, statistical factor model, Risk Faktörü PCA (Getiri Kovaryans Ayrışımı)Merton model, KMV model, CreditMetrics, structural credit risk model
مرتبط55
خلاصهRisk Factor PCA is a dimension-reduction method that decomposes the return covariance matrix of many assets into a small set of orthogonal principal components interpreted as systematic risk factors. Litterman and Scheinkman (1991) used it to show that bond returns are driven by a few common factors, and Connor and Korajczyk (1988) developed the statistical-factor interpretation for the APT.Credit 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.
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ScholarGateمقایسهٔ روش‌ها: Principal Component Risk Factors · Credit Risk Models. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare