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주요 요인 위험 요소×평균-분산 포트폴리오 최적화 (마코위츠)×
분야재무학재무학
계열Regression modelRegression model
기원 연도19911952
창시자Litterman & Scheinkman (bond-return factors); Connor & Korajczyk (statistical APT factors)Harry Markowitz
유형Statistical factor model (dimension reduction)Mean-variance optimization model
원전Litterman, R. & Scheinkman, J. (1991). Common Factors Affecting Bond Returns. Journal of Fixed Income, 1(1), 54-61. DOI ↗Markowitz, H. (1952). Portfolio Selection. The Journal of Finance, 7(1), 77-91. DOI ↗
별칭risk factor PCA, return covariance decomposition, statistical factor model, Risk Faktörü PCA (Getiri Kovaryans Ayrışımı)Markowitz portfolio theory, modern portfolio theory, efficient frontier optimization, Ortalama-Varyans Portföy Optimizasyonu (Markowitz)
관련55
요약Risk 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.Mean-variance portfolio optimization is the foundational model of modern portfolio theory, introduced by Harry Markowitz in 1952. It describes portfolios in an expected-return versus risk (variance) plane and traces the efficient frontier of allocations that offer the highest expected return for each level of risk, covering the minimum-variance portfolio, the maximum-Sharpe-ratio portfolio, and constrained variants.
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ScholarGate방법 비교: Principal Component Risk Factors · Mean-Variance Portfolio Optimization. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare