Retail Trading and Return Predictability in China

87 Pages Posted: 7 Oct 2021 Last revised: 12 Nov 2023

See all articles by Charles M. Jones

Charles M. Jones

Columbia University

Donghui Shi

Shanghai Stock Exchange

Xiaoyan Zhang

Tsinghua University - PBC School of Finance

Xinran Zhang

Central University of Finance and Economics (CUFE) - School of Finance

Date Written: June 15, 2020

Abstract

Using comprehensive account-level data, we separate Chinese retail investors into five 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. With Barber et al. (2009) performance measures, smaller retail investors suffer from poor stock selection abilities and trading costs, while large retail investors’ stock selection abilities are offset by trading costs.

Keywords: retail investors, Chinese stock market, return predictability, information content

JEL Classification: G12, G14, G15

Suggested Citation

Jones, Charles M. and Shi, Donghui and Zhang, Xiaoyan and Zhang, Xinran, Retail Trading and Return Predictability in China (June 15, 2020). Available at SSRN: https://ssrn.com/abstract=3628809 or http://dx.doi.org/10.2139/ssrn.3628809

Charles M. Jones

Columbia University ( email )

3022 Broadway
New York, NY 10027
United States

Donghui Shi

Shanghai Stock Exchange ( email )

Shanghai 200120
China

Xiaoyan Zhang

Tsinghua University - PBC School of Finance ( email )

No. 43, Chengdu Road
Haidian District
Beijing 100083
China

Xinran Zhang (Contact Author)

Central University of Finance and Economics (CUFE) - School of Finance ( email )

Beijing
China

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