共 50 条
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.
引用
下载
收藏
页数:20
相关论文