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Audit Committee Composition and Auditor Reporting
Open accessAbstract
This study examines the relation between the composition of financially distressed firms' audit committees and the likelihood of receiving going-concern reports. For firms experiencing financial distress during 1994, we find that the greater the percentage of affiliated directors on the audit committee, the lower the probability the auditor will issue a going-concern report. These results support regulators' concern about financial-reporting quality and the recent calls for more independent audit committees.
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Citations
Cited by
A review of archival auditing research
DeFond, M., & Zhang, J. (2014) · Journal of Accounting and Economics · doi:10.1016/j.jacceco.2014.09.002 · Cited by 3,188
The role of information and financial reporting in corporate governance and debt contracting
Armstrong, C. S., Guay, W. R., & Weber, J. P. (2010) · Journal of Accounting and Economics · doi:10.1016/j.jacceco.2010.10.001 · Cited by 1,494
SRINIVASAN, S. (2005) · Journal of Accounting Research · doi:10.1111/j.1475-679x.2005.00172.x · Cited by 1,044
Auditor Tenure and Audit Reporting Failures
Geiger, M. A., & Raghunandan, K. (2002) · AUDITING: A Journal of Practice & Theory · doi:10.2308/aud.2002.21.1.67 · Cited by 719
Earnings Manipulation Risk, Corporate Governance Risk, and Auditors' Planning and Pricing Decisions
Bedard, J. C., & Johnstone, K. M. (2004) · The Accounting Review · doi:10.2308/accr.2004.79.2.277 · Cited by 709
Metadata
- Authors
- Carcello, J. V., & Neal, T. L.
- Venue
- The Accounting Review
- Publisher
- American Accounting Association
- Published
- 2000-10-01
- Volume
- 75
- Issue
- 4
- Pages
- 453-467
- ISSN
- 0001-4826 (ISSN-L)
- 1558-7967
- OpenAlex
- W1985979870
- Cited by
- 924
- References
- 0
- FWCI
- 65.23
- Type
- journal article
- Language
- en
- Open access
- green
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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.