Lu Qiao
Chief financial officer overconfidence and stock price crash risk
Qiao, Lu; Adegbite, Emmanuel; Nguyen, Tam Huy
Authors
EMMANUEL ADEGBITE EMMANUEL.ADEGBITE@NOTTINGHAM.AC.UK
Professor in Accounting and Corporate Governance
Tam Huy Nguyen
Abstract
Numerous studies have shown the prevalence of overconfidence among Chief Financial Officers (CFOs). Surprisingly, the real effect of CFO overconfidence is under-researched. Using data from a large sample of US-listed firms over the period 1993–2019 and adopting an eclectic theoretical approach, we find that overconfident CFOs are more likely to increase stock price crash risk than non-overconfident CFOs through risk-taking and bad news hoarding. These findings pass a series of robustness tests. Furthermore, departing from most overconfident studies that merely examine one type of top managers (i.e., Chief Executive Officer (CEO)), we consider the influence of CEO and CFO overconfidence jointly. Interestingly, we find that CFO overconfidence outweighs CEO overconfidence in influencing stock price crash risk. Moreover, the overconfidence effect is intensified when overconfident CFOs collaborate with overconfident CEOs, thus raising stock price crash risk. However, stronger governance and a transparent information environment constrain overconfident CFOs' effect on stock price crash risk. Overall, our findings highlight the importance of CFO overconfidence in determining stock return tail risks.
Citation
Qiao, L., Adegbite, E., & Nguyen, T. H. (2022). Chief financial officer overconfidence and stock price crash risk. International Review of Financial Analysis, 84, Article 102364. https://doi.org/10.1016/j.irfa.2022.102364
Journal Article Type | Article |
---|---|
Acceptance Date | Sep 2, 2022 |
Online Publication Date | Sep 13, 2022 |
Publication Date | Nov 1, 2022 |
Deposit Date | Sep 7, 2022 |
Publicly Available Date | Mar 14, 2024 |
Journal | International Review of Financial Analysis |
Print ISSN | 1057-5219 |
Publisher | Elsevier BV |
Peer Reviewed | Peer Reviewed |
Volume | 84 |
Article Number | 102364 |
DOI | https://doi.org/10.1016/j.irfa.2022.102364 |
Keywords | Economics and Econometrics; Finance |
Public URL | https://nottingham-repository.worktribe.com/output/10912942 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S1057521922003143 |
Files
18225
(697 Kb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by-nc-nd/4.0/
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