Geopolitical risk and excess stock returns predictability: New evidence from a century of data

被引:25
|
作者
Ma, Feng [1 ]
Lu, Fei [1 ]
Tao, Ying [1 ]
机构
[1] Southwest Jiaotong Univ, Sch Econ & Management, Chengdu, Peoples R China
关键词
Geopolitical risks; Geopolitical threats; Excess stock returns; Portfolio performance; EQUITY PREMIUM; COMBINATION FORECASTS; VOLATILITY; SAMPLE; LINKS;
D O I
10.1016/j.frl.2022.103211
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This study applies a new series of geopolitical risk historical indices developed by Caldara and Iacoviello (2022) to predict stock returns. Empirical results show that the geopolitical threats index (GPRHT) can help in predicting stock returns, especially during expansion. Combined the geopolitical indices and 14 famous macroeconomic variables can yield good out-of-sample performances from statistical and economic viewpoints. Our research provides fresh perspectives on stock return predictability in light of geopolitical risks.
引用
收藏
页数:7
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