What difference do new factor models make in portfolio allocation?

被引:1
|
作者
Fabozzi, Frank J. [1 ]
Huang, Dashan [2 ]
Jiang, Fuwei [3 ]
Wang, Jiexun [4 ]
机构
[1] EDHEC Business Sch, 393 Promenade des Anglais BP3116, F-06202 Nice 3, France
[2] Singapore Management Univ, Lee Kong Chian Sch Business, Singapore 178899, Singapore
[3] Cent Univ Finance & Econ, Sch Finance, Beijing 100018, Peoples R China
[4] P&G Singapore Innovat Ctr, 70 Biopolis St, Singapore 138547, Singapore
基金
中国国家自然科学基金;
关键词
Portfolio allocation; Mean-variance analysis; Factor model; Asset pricing; ASSET PRICING-MODELS; NAIVE DIVERSIFICATION; UNCERTAINTY; PARAMETER; SELECTION; ANOMALIES; CHOICE; RISK; OPTIMIZATION; PERFORMANCE;
D O I
10.1016/j.jimonfin.2023.102997
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper compares the Hou-Xue-Zhang four-factor model with the Fama-French five-factor model from an investing perspective both in-and out-of-sample. Without margin requirements and model uncertainty, the Hou-Xue-Zhang model outperforms the Fama-French model. However, the outperformance could become negligible if an investor is subject to margin requirements and model uncertainty. The Hou-Xue-Zhang model shows similar power as the Fama-French model in describing the covariance matrix of asset returns. Overall, the two models do not make a difference for investing in a realistic setting.
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页数:20
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