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Prospect Theory and Stock Price Behavior in Retail Trading Booms

Xu Guo, Junbo Wang*, Chunchi Wu, Xiaoling Zhong*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

We employ prospect theory, an influential theory describing investors’ attitudes toward risk, to explain the effects of the unprecedented retail investor engagement and market performance in recent times. We find that prospect theory value (PTV) has strong predictive power for returns during retail trading booms, and this predictability is stronger for stocks with high investor attention and less subject to arbitrage forces. The retail wave during the COVID-19 pandemic propels PTV’s predictive power in a way unseen in other historical crises. The high predictability of returns is attributable to attention-grabbing social media, fintech brokerage, investor sentiment, and government stimulus policy.
Original languageEnglish
JournalJournal of Empirical Finance
DOIs
Publication statusAccepted/In press/Filed - 24 Feb 2026

Funding

Junbo Wang acknowledges financial support from the Research Grants Council of the Hong Kong Special Administrative Region, China (GRF9043444). Xiaoling Zhong acknowledges financial support from the Stabilization Support Program 2022 for Higher Education Institutions of Shenzhen (Grant 20220818193126001) and the Innovation Program of Guangdong Provincial Department of Education (Grant 2022WTSCX124).

Research Keywords

  • Prospect theory
  • probability weighting
  • COVID-19 pandemic
  • retail trading
  • volatility

RGC Funding Information

  • RGC-funded

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  • GRF: The Portfolio Choice of Mutual Funds

    WANG, J. (Principal Investigator / Project Coordinator) & WANG, C. (Co-Investigator)

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