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Retail Trading and Return Predictability in China
被引:13
|作者:
Jones, Charles M.
[1
]
Shi, Donghui
[2
]
Zhang, Xiaoyan
[3
]
Zhang, Xinran
[4
]
机构:
[1] Columbia Business Sch, New York, NY USA
[2] Fudan Univ, Fanhai Int Sch Finance, Shanghai, Peoples R China
[3] Tsinghua Univ, PBC Sch Finance, Beijing, 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:
STOCK;
PERFORMANCE;
BEHAVIOR;
ORDERS;
SIZE;
D O I:
10.1017/S0022109024000085
中图分类号:
F8 [财政、金融];
学科分类号:
0202 ;
摘要:
Using comprehensive account-level data, we separate Chinese retail investors into 5 groups and document strong heterogeneity in trading dynamics and performances. Retail investors with smaller account sizes cannot predict future returns correctly, display daily momentum patterns, fail to process public news, and show overconfidence and gambling preferences, while retail investors with larger account balances predict future returns correctly, display contrarian patterns, and incorporate public news in trading. Using performance measures established in previous literature, we find that smaller retail investors suffer from poor stock selection abilities and trading costs, while large retail investors' stock selection abilities are offset by trading costs.
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页码:68 / 104
页数:37
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