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Market Skewness and Stock Return Predictability: New Evidence from China
被引:0
|作者:
Feng, Yuqing
[1
]
He, Mengxi
[1
]
Zhang, Yaojie
[1
,2
]
机构:
[1] Nanjing Univ Sci & Technol, Sch Econ & Management, Nanjing, Peoples R China
[2] Nanjing Univ Sci & Technol, Sch Econ & Management, Xiaolingwei 200, Nanjing 210094, Peoples R China
基金:
中国国家自然科学基金;
关键词:
Stock return predictability;
good skewness;
bad skewness;
asset allocation;
cash flow channel;
RISK;
PREFERENCE;
D O I:
10.1080/1540496X.2023.2217327
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
Market skewness is an important indicator of market risk. We decompose market skewness into good and bad skewness and further study the relationship between various skewness and the stock market returns in China. Empirical results show that good skewness can significantly predict stock market returns in- and out-of-sample. Furthermore, compared to macroeconomic variables and variance variables, good skewness can provide complementary or dominant information. We also find that good skewness can provide helpful information in predicting stock market returns beyond what market skewness and bad skewness provide. A mean-variance investor can obtain sizable economic gains by using good skewness. The economic source of predictability is the cash flow channel.
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页码:233 / 244
页数:12
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