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Retail Trading and Return Predictability in China

Published online by Cambridge University Press:  12 February 2024

Charles M. Jones ,
Donghui Shi ,
Xiaoyan Zhang  and
Xinran Zhang Open the ORCID record for Xinran Zhang [Opens in a new window]
Charles M. Jones
Affiliation:
Columbia Business School [email protected]
Donghui Shi
Affiliation:
Fudan University Fanhai International School of Finance [email protected]
Xiaoyan Zhang*
Affiliation:
Tsinghua University PBC School of Finance
Xinran Zhang
Affiliation:
Central University of Finance and Economics School of Finance [email protected]
*
[email protected] (corresponding author)
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Abstract

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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.

Type
Research Article
Information
Journal of Financial and Quantitative Analysis , First View , pp. 1 - 37
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of the Michael G. Foster School of Business, University of Washington

Footnotes

We thank an anonymous referee, Hendrik Bessembinder (the editor), Utpal Bhattacharya, Darwin Choi, Lauren H. Cohen, Ron Kaniel, Terrance Odean, Xintong Zhan, Hao Zhou, and seminar participants at Tsinghua PBC School of Finance, Renmin University, Shanghai Jiaotong University, Fudan University, Shanghai University of Finance and Economics, and conference audiences at the 2019 CIFFP, 2021 CFRC, 2021 CICF, and 2022 ABFER Annual Conferences for their helpful comments and suggestions. Xiaoyan Zhang acknowledges the financial support from the National Natural Science Foundation of China (Grant Nos. 72350710220 and 71790605). Xinran Zhang acknowledges the financial support from the National Natural Science Foundation of China (Grant No. 72303268). All remaining errors are our own.

References

An, L.; Lou, D.; and Shi, D.. “Wealth Redistribution in Bubbles and Crashes.” Journal of Monetary Economics, 126 (2022), 134–153.10.1016/j.jmoneco.2022.01.001CrossRefGoogle Scholar
Bach, L.; Calvet, L. E.; and Sodini, P.. “Rich Pickings? Risk, Return, and Skill in Household Wealth.” American Economic Review, 110 (2020), 2703–2747.10.1257/aer.20170666CrossRefGoogle Scholar
Bali, T. G.; Cakici, N.; and Whitelaw, R. F.. “Maxing Out: Stocks as Lotteries and the Cross-Section of Expected Returns.” Journal of Financial Economics, 99 (2011), 427–446.10.1016/j.jfineco.2010.08.014CrossRefGoogle Scholar
Barber, B. M.; Huang, X.; Odean, T.; and Schwarz, C.. “Attention Induced Trading and Returns: Evidence from Robinhood Users.” Journal of Finance, 77 (2022), 3141–3190.10.1111/jofi.13183CrossRefGoogle Scholar
Barber, B. M.; Lee, Y.-T.; Liu, Y.-J.; and Odean, T.. “Just How Much Do Individual Investors Lose by Trading?” Review of Financial Studies, 22 (2009), 609–632.10.1093/rfs/hhn046CrossRefGoogle Scholar
Barber, B. M., and Odean, T.. “Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors.” Journal of Finance, 55 (2000), 773–806.10.1111/0022-1082.00226CrossRefGoogle Scholar
Barber, B. M., and Odean, T.. “Boys Will Be Boys: Gender, Overconfidence, and Common Stock Investment.” Quarterly Journal of Economics, 116 (2001), 261–292.10.1162/003355301556400CrossRefGoogle Scholar
Barber, B. M., and Odean, T.. “All that Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors.” Review of Financial Studies, 21 (2008), 785–818.10.1093/rfs/hhm079CrossRefGoogle Scholar
Barber, B. M.; Odean, T.; and Zhu, N.. “Do Retail Trades Move Markets?” Review of Financial Studies, 22 (2009), 151–186.10.1093/rfs/hhn035CrossRefGoogle Scholar
Barrot, J.-N.; Kaniel, R.; and Sraer, D. A.. “Are Retail Traders Compensated for Providing Liquidity?” Journal of Financial Economics, 120 (2016), 146–168.10.1016/j.jfineco.2016.01.005CrossRefGoogle Scholar
Blume, M. E., and Stambaugh, R. F.. “Biases in Computed Returns: An Application to the Size Effect.” Journal of Financial Economics, 12 (1983), 387–404.10.1016/0304-405X(83)90056-9CrossRefGoogle Scholar
Boehmer, E.; Jones, C. M.; Zhang, X.; and Zhang, X.. “Tracking Retail Investor Activity.” Journal of Finance, 76 (2021), 2249–2305.10.1111/jofi.13033CrossRefGoogle Scholar
Boehmer, E.; Sang, B.; Zhang, Z. “Can Retail Investors Learn from Insiders?” Working Paper, Singapore Management University and University of Bristol (2020).10.2139/ssrn.3827062CrossRefGoogle Scholar
Boehmer, E., and Wu., J. “Short Selling and the Price Discovery Process.” Review of Financial Studies, 26 (2013), 287–322.Google Scholar
Chen, T.; Gao, Z.; He, J.; Jiang, W.; and Xiong, W.. “Daily Price Limits and Destructive Market Behavior.” Journal of Econometrics, 208 (2019), 249–264.10.1016/j.jeconom.2018.09.014CrossRefGoogle Scholar
Chordia, T., and Subrahmanyam, A.. “Order Imbalance and Stock Returns: Theory and Evidence.” Journal of Financial Economics, 72 (2004), 485–518.10.1016/S0304-405X(03)00175-2CrossRefGoogle Scholar
Diether, K. B.; Lee, K. H.; and Werner, I. M.. “Short-Sale Strategies and Return Predictability.” Review of Financial Studies, 22 (2009), 575–607.10.1093/rfs/hhn047CrossRefGoogle Scholar
Dorn, D.; Huberman, G.; and Sengmueller, P.. “Correlated Trading and Returns.” Journal of Finance, 63 (2008), 885–920.10.1111/j.1540-6261.2008.01334.xCrossRefGoogle Scholar
Eaton, G. W.; Green, T. C.; Roseman, B.; and Wu, Y.. “Retail Trader Sophistication and Stock Market Quality: Evidence from Brokerage Outages.” Journal of Financial Economics, 146 (2022), 502–528.10.1016/j.jfineco.2022.08.002CrossRefGoogle Scholar
Fama, E. F., and MacBeth, J. D.. “Risk, Return, and Equilibrium: Empirical Tests.” Journal of Political Economy, 81 (1973), 607–636.10.1086/260061CrossRefGoogle Scholar
Gervais, S.; Kaniel, R.; and Mingelgrin, D. H.. “The High-Volume Return Premium.” Journal of Finance, 56 (2001), 877–919.10.1111/0022-1082.00349CrossRefGoogle Scholar
Grinblatt, M., and Keloharju, M.. “The Investment Behavior and Performance of Various Investor Types: A Study of Finland’s Unique Data Set.” Journal of Financial Economics, 55 (2000), 43–67.10.1016/S0304-405X(99)00044-6CrossRefGoogle Scholar
Grinblatt, M.; Keloharju, M.; and Linnainmaa, J. T.. “IQ, Trading Behavior, and Performance.” Journal of Financial Economics, 104 (2012), 339–362.10.1016/j.jfineco.2011.05.016CrossRefGoogle Scholar
Hu, C.; Liu, Y.-J.; and Xu, X.. “The Valuation Effect of Stock Dividends or Splits: Evidence from a Catering Perspective.” Journal of Empirical Finance, 61 (2021), 163–179.10.1016/j.jempfin.2021.01.006CrossRefGoogle Scholar
Jiang, L.; Liu, J.; Peng, L.; and Wang, B.. “Investor Attention and Asset Pricing Anomalies.” Review of Finance, 26 (2022), 563–593.10.1093/rof/rfab032CrossRefGoogle Scholar
Kaniel, R.; Gideon, S.; and Sheridan, T.. “Individual Investor Sentiment and Stock Returns.” Journal of Finance, 63 (2008), 273–310.10.1111/j.1540-6261.2008.01316.xCrossRefGoogle Scholar
Kelley, E. K.; and Tetlock, P. C.. “How Wise are Crowds? Insights from Retail Orders and Stock Returns.” Journal of Finance, 68 (2013), 1229–1265.10.1111/jofi.12028CrossRefGoogle Scholar
Li, X.; Geng, Z.; Subrahmanyam, A.; and Yu, H.. “Do Wealthy Investors Have an Informational Advantage? Evidence Based on Account Classifications of Individual Investors.” Journal of Empirical Finance, 44 (2017), 1–18.10.1016/j.jempfin.2017.07.001CrossRefGoogle Scholar
Liao, J.; Peng, C.; and Zhu, N.. “Extrapolative Bubbles and Trading Volume.” Review of Financial Studies, 35 (2022), 1682–1722.10.1093/rfs/hhab070CrossRefGoogle Scholar
Linnainmaa, J. T. “Do Limit Orders Alter Inferences About Investor Performance and Behavior?” Journal of Finance, 65 (2010), 1473–1506.10.1111/j.1540-6261.2010.01576.xCrossRefGoogle Scholar
Liu, H.; Peng, C.; Xiong, W. A.; and Xiong, W.. “Taming the Bias Zoo.” Journal of Financial Economics, 143 (2021), 716–741.10.1016/j.jfineco.2021.06.001CrossRefGoogle Scholar
Liu, J.; Stambaugh, R. F.; and Yuan, Y.. “Size and Value in China.” Journal of Financial Economics, 134 (2019), 48–69.10.1016/j.jfineco.2019.03.008CrossRefGoogle Scholar
Liu, Y.; Zhou, G.; and Zhu, Y.. “Trend Factor in China: The Role of Large Individual Trading.” Review of Asset Pricing Studies, forthcoming (2024).10.1093/rapstu/raae003CrossRefGoogle Scholar
Newey, W. K., and West, K. D.. “A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix.” Econometrica, 55 (1987), 703–708.10.2307/1913610CrossRefGoogle Scholar
Newey, W. K., and West, K. D.. “Automatic Lag Selection in Covariance Matrix Estimation.” Review of Economic Studies, 61 (1994), 631–653.10.2307/2297912CrossRefGoogle Scholar
Titman, S.; Wei, C.; and Zhao, B.. “Corporate Actions and the Manipulation of Retail Investors in China: An Analysis of Stock Splits.” Journal of Financial Economics, 145 (2022), 762–787.10.1016/j.jfineco.2021.09.018CrossRefGoogle Scholar
Van Kervel, V., and Menkveld, A. J.. “High Frequency Trading Around Large Institutional Orders.” Journal of Finance, 74 (2019), 1091–1137.10.1111/jofi.12759CrossRefGoogle Scholar
Welch, I. “The Wisdom of the Robinhood Crowd.” Journal of Finance, 77 (2022), 1489–1527.10.1111/jofi.13128CrossRefGoogle Scholar
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