The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Powerful CEOs and stock price crash risk
Open accessAbstract
We find that powerful chief executive officers (CEOs) are associated with higher crash risk. The positive association between CEO power and crash risk holds when controlling for earnings management, tax avoidance, chief executive officer's option incentives, and CEO overconfidence. Firms with powerful CEOs have higher probability of financial restatements, lower proportion of negative to positive earnings guidance, and lower ratio of negative to positive words in their financial statements. The association between powerful CEOs and higher crash risk is mostly evident among firms with higher sensitivity of CEO wealth to stock prices and when CEOs have lower general skills. External monitoring mechanisms weaken but do not eliminate the association between powerful founder CEOs and higher crash risk.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Corporate Governance and Equity Prices
Gompers, P., Ishii, J., & Metrick, A. (2003) · The Quarterly Journal of Economics · doi:10.1162/00335530360535162 · Cited by 6,120
Enjoying the Quiet Life? Corporate Governance and Managerial Preferences
Bertrand, M., & Mullainathan, S. (2003) · Journal of Political Economy · doi:10.1086/376950 · Cited by 3,777
What Matters in Corporate Governance?
Bebchuk, L., Cohen, A., & Ferrell, A. (2009) · Review of Financial Studies · doi:10.1093/rfs/hhn099 · Cited by 2,906
Power in Top Management Teams: Dimensions, Measurement, and Validation
Finkelstein, S. (1992) · Academy of Management Journal · doi:10.5465/256485 · Cited by 2,389
Earnings quality: Evidence from the field
Dichev, I. D., Graham, J. R., Harvey, C. R., & Rajgopal, S. (2013) · Journal of Accounting and Economics · doi:10.1016/j.jacceco.2013.05.004 · Cited by 1,103
Metadata
- Authors
- Al Mamun, M., Balachandran, B., & Duong, H. N.
- Venue
- Journal of Corporate Finance
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 62
- Pages
- 101582
- ISSN
- 0929-1199 (ISSN-L)
- OpenAlex
- W3124161031
- Cited by
- 257
- References
- 5
- FWCI
- 59.07
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
