Investor overconfidence and stock price crash risk

Purpose The paper investigates how investor overconfidence affects stock price crash risk. Design/methodology/approach Following Adebambo and Yan (2018), we use mutual fund data from Thomson Financial, CRSP Survivorship Bias Free Mutual Fund Database and Morningstar Direct to construct our investor overconfidence proxy. We then conduct our analysis using the regression method in the US market for the sample period between 1988 and 2018. Findings We find that managers, to respond to unrealistic expectations from overconfident investors, are more likely to withhold bad news and overinvest, which increases stock price crash risk. Furthermore, firms with overconfident investors are more likely to have breaks in a string of consecutive earnings increases and engage in earnings management. Employing the Regulation SHO Pilot Program (Russell Index Reconstitution) as exogenous shocks to valuation (the participation of active investors), we find that the relation between investor overconfidence and stock price crash risk is more pronounced among overvalued firms (firms with a higher share of active investors). Finally, we show that strong corporate governance can discipline managers against catering for overconfident investors. Originality/value While existing literature has focused on how investor overconfidence increases stock price crash risk via excessive trading activities, we show a very different mechanism through firm's disclosure response to investor overconfidence.

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Publication Details

Journal
Journal of Accounting Literature
Published
2025-11-13
DOI
https://doi.org/10.1108/jal-02-2025-0074
Primary Topic
Auditing, Earnings Management, Governance
Type
article
Field-Weighted Citation Impact
0.00
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Investor overconfidence and stock price crash risk

Hasibul Chowdhury, Suichen Xu, Xiaowen Peng, Ronghong Huang et al.
Journal of Accounting Literature
Auditing, Earnings Management, Governance
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Investor overconfidence and stock price crash risk

Hasibul Chowdhury, Suichen Xu, Xiaowen Peng, Ronghong Huang, Khoa Hoang
article en

Abstract

Purpose The paper investigates how investor overconfidence affects stock price crash risk. Design/methodology/approach Following Adebambo and Yan (2018), we use mutual fund data from Thomson Financial, CRSP Survivorship Bias Free Mutual Fund Database and Morningstar Direct to construct our investor overconfidence proxy. We then conduct our analysis using the regression method in the US market for the sample period between 1988 and 2018. Findings We find that managers, to respond to unrealistic expectations from overconfident investors, are more likely to withhold bad news and overinvest, which increases stock price crash risk. Furthermore, firms with overconfident investors are more likely to have breaks in a string of consecutive earnings increases and engage in earnings management. Employing the Regulation SHO Pilot Program (Russell Index Reconstitution) as exogenous shocks to valuation (the participation of active investors), we find that the relation between investor overconfidence and stock price crash risk is more pronounced among overvalued firms (firms with a higher share of active investors). Finally, we show that strong corporate governance can discipline managers against catering for overconfident investors. Originality/value While existing literature has focused on how investor overconfidence increases stock price crash risk via excessive trading activities, we show a very different mechanism through firm's disclosure response to investor overconfidence.

Journal of Accounting Literature
Suncor Energy (Canada) (CA), The University of Queensland (AU)
Openalex Percentile: Top 51%
Auditing, Earnings Management, Governance
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