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主成分风险因子×信用风险模型(Merton、KMV、CreditMetrics)×
领域金融学金融学
方法族Regression modelRegression model
起源年份19911974
提出者Litterman & Scheinkman (bond-return factors); Connor & Korajczyk (statistical APT factors)Robert C. Merton (structural model); J.P. Morgan / Gupton et al. (CreditMetrics)
类型Statistical factor model (dimension reduction)Structural and portfolio credit risk model
开创性文献Litterman, 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 ↗
别名risk factor PCA, return covariance decomposition, statistical factor model, Risk Faktörü PCA (Getiri Kovaryans Ayrışımı)Merton model, KMV model, CreditMetrics, structural credit risk model
相关55
摘要Risk 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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ScholarGate方法对比: Principal Component Risk Factors · Credit Risk Models. 于 2026-06-19 检索自 https://scholargate.app/zh/compare