Global mispricing matters

被引:0
|
作者
Jiang, Fuwei [1 ]
Liu, Hongkui [2 ]
Tang, Guohao [3 ]
Yu, Jiasheng [4 ]
机构
[1] Xiamen Univ, Wang Yanan Inst Studies Econ, Dept Finance, Sch Econ, Xiamen, Peoples R China
[2] Chinese Acad Social Sci, Inst Econ, Beijing, Peoples R China
[3] Hunan Univ, Coll Finance & Stat, Changsha, Peoples R China
[4] Cent Univ Finance & Econ, Sch Finance, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Anomaly; Global mispricing; International stock markets; Return predictability; Sentiment; Transfer Learning; STOCK RETURN PREDICTABILITY; INVESTOR SENTIMENT; CROSS-SECTION; RISK; VOLATILITY; PREMIUM; SAMPLE; WORLD;
D O I
10.1016/j.jimonfin.2024.103136
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper constructs a global anomaly index based on the long-short portfolio returns of 153 anomalies across 33 stock markets. We find that global anomaly index is a strong negative predictor of aggregate stock returns in international markets, both in-sample and out-of-sample. The index delivers considerable economic value for a mean-variance investor. Moreover, it captures global common changes in overpricing, and is not subsumed by extant return predictors. Its predictive power arises from global asymmetric mispricing correction persistence, and partly from the ability to forecast sentiment-changes. Furthermore, we demonstrate significant transfer learning from the U.S. market to other markets in terms of time series predictions.
引用
收藏
页数:21
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