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Faktoru riska analīze ar galvenajām komponentēm×Procentu likmes modeļi (Vasiceks, CIR, Nelsons-Sīgels)×
NozareFinansesFinanses
SaimeRegression modelRegression model
Izcelsmes gads19911977
AutorsLitterman & Scheinkman (bond-return factors); Connor & Korajczyk (statistical APT factors)Vasicek (1977); Nelson & Siegel (1987)
TipsStatistical factor model (dimension reduction)Term-structure / short-rate model
PirmavotsLitterman, R. & Scheinkman, J. (1991). Common Factors Affecting Bond Returns. Journal of Fixed Income, 1(1), 54-61. DOI ↗Vasicek, O. (1977). An Equilibrium Characterization of the Term Structure. Journal of Financial Economics, 5(2), 177–188. DOI ↗
Citi nosaukumirisk factor PCA, return covariance decomposition, statistical factor model, Risk Faktörü PCA (Getiri Kovaryans Ayrışımı)term structure models, short-rate models, yield curve models, Vasicek model
Saistītās55
KopsavilkumsRisk 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.Interest rate models are structural models that describe how interest rates evolve over time within a stochastic differential equation framework. The family covers Vasicek's normal short-rate process (1977), the CIR square-root process, the adjustable Hull-White extension, and the Nelson-Siegel approach to fitting the yield curve (1987).
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ScholarGateSalīdzināt metodes: Principal Component Risk Factors · Interest Rate Models. Izgūts 2026-06-18 no https://scholargate.app/lv/compare