Multi-factor volatility and stock returns

被引:6
|
作者
He, Zhongzhi [1 ]
Zhu, Jie [2 ,3 ]
Zhu, Xiaoneng [2 ,3 ]
机构
[1] Brock Univ, St Catharines, ON L2S 3A1, Canada
[2] Shanghai Univ Finance & Econ, Shanghai 200433, Peoples R China
[3] Shanghai Key Lab Financial Informat Technol, Shanghai, Peoples R China
关键词
Multi-factor volatility; Cross-sectional returns; Out-of-sample predictability; Asset allocation; CROSS-SECTION; DYNAMIC FACTORS; RISK-FACTORS; PREMIUM; PERFORMANCE; SAMPLE; MARKET;
D O I
10.1016/j.jbankfin.2015.09.013
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
In light of inconclusive evidence on the relation between market volatility and stock returns, this paper proposes a multi-factor volatility model and examines its impact on cross-sectional pricing. We also evaluate the out-of-sample performance and economic significance of multi-factor volatility. We find that conditional variances of the size and value dynamic factor earn significant and positive variance risk premia. In addition, multi-factor volatility can significantly improve the out-of-sample return predictability with a positive economic gain in asset allocation. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:S132 / S149
页数:18
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