方法对比
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| 多因子风险模型(Fama-French, APT)× | 均值-方差投资组合优化(Markowitz)× | |
|---|---|---|
| 领域 | 金融学 | 金融学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1993 | 1952 |
| 提出者≠ | Fama & French (factor model); Ross (Arbitrage Pricing Theory) | Harry Markowitz |
| 类型≠ | Multi-factor linear regression model | Mean-variance optimization model |
| 开创性文献≠ | Fama, E. F., & French, K. R. (1993). Common Risk Factors in the Returns on Stocks and Bonds. Journal of Financial Economics, 33(1), 3-56. DOI ↗ | Markowitz, H. (1952). Portfolio Selection. The Journal of Finance, 7(1), 77-91. DOI ↗ |
| 别名≠ | Fama-French model, Fama-French three-factor model, Fama-French five-factor model, arbitrage pricing theory | Markowitz portfolio theory, modern portfolio theory, efficient frontier optimization, Ortalama-Varyans Portföy Optimizasyonu (Markowitz) |
| 相关 | 5 | 5 |
| 摘要≠ | A factor risk model is a multi-factor framework that links asset returns to systematic risk factors such as the market, value, size, and momentum. The Fama-French three- and five-factor models (1993) and Ross's Arbitrage Pricing Theory (1976) decompose portfolio risk and detect alpha. | 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. |
| ScholarGate数据集 ↗ |
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