The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
Does media coverage deter firms from withholding bad news? Evidence from stock price crash risk
Open accessAbstract
Abstract Spurred by the informational and disciplinary roles that the media fulfils, this study provides initial evidence on how higher media coverage is associated with a lower tendency of firms withholding bad news, proxied by stock price crash risk. Our main findings are robust to a battery of tests that account for endogeneity concerns including a difference-in-differences analysis based on newspaper closures that exogenously reduce media coverage and a regression-discontinuity design analysis based on the top band of Russell 2000 and lower band of Russell 1000 index stocks. Additional tests reveal that the negative relation between media coverage and stock price crash risk is concentrated within firms with more negative and novel news coverage and firms with higher litigation or reputation risks. We also find that media plays an important role in reducing future stock price crash risk when there is reduced monitoring by other external monitoring mechanisms such as external auditors, financial analysts, and institutional shareholders.
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Cites
Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches
Petersen, M. A. (2009) · Review of Financial Studies · doi:10.1093/rfs/hhn053 · Cited by 10,746
The economic implications of corporate financial reporting
Graham, J. R., Harvey, C. R., & Rajgopal, S. (2005) · Journal of Accounting and Economics · doi:10.1016/j.jacceco.2005.01.002 · Cited by 6,316
Detecting Earnings Management.
Dechow, P., & Sloan, R. G. (1995) · The Accounting Review · doi:10.2308/tar-9505096112 · Cited by 5,662
Earnings management and investor protection: an international comparison
Leuz, C., Nanda, D., & Wysocki, P. D. (2003) · Journal of Financial Economics · doi:10.1016/s0304-405x(03)00121-1 · Cited by 5,381
(2012) · Asian Financial Statement Analysis · doi:10.1002/9781119204763.ch4 · Cited by 3,821
R2 around the world: New theory and new tests☆
JIN, L., & MYERS, S. (2006) · Journal of Financial Economics · doi:10.1016/j.jfineco.2004.11.003 · Cited by 2,816
Opaque financial reports, R2, and crash risk☆
Hutton, A. P., Marcus, A. J., & Tehranian, H. (2009) · Journal of Financial Economics · doi:10.1016/j.jfineco.2008.10.003 · Cited by 2,768
Risk measurement when shares are subject to infrequent trading
Dimson, E. (1979) · Journal of Financial Economics · doi:10.1016/0304-405x(79)90013-8 · Cited by 2,754
On the use of instrumental variables in accounting research
Larcker, D. F., & Rusticus, T. O. (2010) · Journal of Accounting and Economics · doi:10.1016/j.jacceco.2009.11.004 · Cited by 2,408
More Than Words: Quantifying Language to Measure Firms' Fundamentals
TETLOCK, P. C., SAAR‐TSECHANSKY, M., & MACSKASSY, S. (2008) · The Journal of Finance · doi:10.1111/j.1540-6261.2008.01362.x · Cited by 2,304
Metadata
- Authors
- An, Z., Chen, C., Naiker, V., & Wang, J.
- Venue
- Journal of Corporate Finance
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 64
- Pages
- 101664
- ISSN
- 0929-1199 (ISSN-L)
- OpenAlex
- W3033703147
- Cited by
- 285
- References
- 63
- FWCI
- 56.25
- Type
- journal article
- Language
- en
- Open access
- green
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- An, Z., Chen, C., Naiker, V., & Wang, J. (2020). Does media coverage deter firms from withholding bad news? Evidence from stock price crash risk. Journal of Corporate Finance. https://doi.org/10.1016/j.jcorpfin.2020.101664
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