The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Financial Reporting Opacity and Expected Crash Risk: Evidence from Implied Volatility Smirks
Abstract
The recent financial crisis has stimulated a renewed interest in understanding the determinants of stock price crash risk (i.e., left tail risk). Recent research shows that opaque financial reports enable managers to hide and accumulate bad news for extended periods. When the accumulated bad news reaches a certain tipping point, it will be suddenly released to the market at once, resulting in an abrupt decline in stock price (i.e., a crash). This study extends this line of research by examining the impact of financial reporting opacity on perceived or expected crash risk. Prominent economists, such as Olivier Blanchard, argue that removing the perception of tail risks (in addition to realized tail risks) is crucial in restoring investor confidence and stabilizing the stock market. Using the steepness of option implied volatility skew as a proxy for perceived crash risk, we find that accrual management, the presence of financial statement restatements, and auditor‐attested internal control weakness are all positively and significantly associated with the level of perceived crash risk. Our results suggest that improving financial reporting transparency is an important mechanism for firms and policymakers to reduce the perception of tail risks and stabilize the stock market.
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Cites
The pricing of options and corporate liabilities
Black, F., & Scholes, M. (1973) · Journal of Political Economy · doi:10.1086/260062 · Cited by 29,074
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
Performance matched discretionary accrual measures
Kothari, S. P., Leone, A. J., & Wasley, C. E. (2005) · Journal of Accounting and Economics · doi:10.1016/j.jacceco.2004.11.002 · Cited by 6,947
Detecting Earnings Management.
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Understanding earnings quality: A review of the proxies, their determinants and their consequences
Dechow, P., Ge, W., & Schrand, C. (2010) · Journal of Accounting and Economics · doi:10.1016/j.jacceco.2010.09.001 · Cited by 4,159
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
Empirical Performance of Alternative Option Pricing Models
Bakshi, G., Cao, C., & Chen, Z. (1997) · The Journal of Finance · doi:10.1111/j.1540-6261.1997.tb02749.x · Cited by 2,707
Do Managers Withhold Bad News?
KOTHARI, S. P., SHU, S., & WYSOCKI, P. D. (2009) · Journal of Accounting Research · doi:10.1111/j.1475-679x.2008.00318.x · Cited by 2,155
Corporate tax avoidance and stock price crash risk: Firm-level analysis
Kim, J.-B., Li, Y., & Zhang, L. (2011) · Journal of Financial Economics · doi:10.1016/j.jfineco.2010.07.007 · Cited by 2,139
Self-citation
Metadata
- Authors
- Kim, J., & Zhang, L.
- Venue
- Contemporary Accounting Research
- Publisher
- Wiley
- Published
- 2014-04-10
- Volume
- 31
- Issue
- 3
- Pages
- 851-875
- ISSN
- 0823-9150 (ISSN-L)
- 1911-3846
- OpenAlex
- W3122723824
- Cited by
- 486
- References
- 43
- FWCI
- 45.57
- Type
- journal article
- Language
- en
- Open access
- closed
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