The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Value Relevance of FAS No. 157 Fair Value Hierarchy Information and the Impact of Corporate Governance Mechanisms
Abstract
ABSTRACT: Statement of Financial Accounting Standards No. 157 (FAS No. 157), Fair Value Measurements, prioritizes the source of information used in fair value measurements into three levels: (1) Level 1 (observable inputs from quoted prices in active markets), (2) Level 2 (indirectly observable inputs from quoted prices of comparable items in active markets, identical items in inactive markets, or other market-related information), and (3) Level 3 (unobservable, firm-generated inputs). Using quarterly reports of banking firms in 2008, we find that the value relevance of Level 1 and Level 2 fair values is greater than the value relevance of Level 3 fair values. In addition, we find evidence that the value relevance of fair values (especially Level 3 fair values) is greater for firms with strong corporate governance. Overall, our results support the relevance of fair value measurements under FAS No. 157, but weaker corporate governance mechanisms may reduce the relevance of these measures.
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Cites
(2001) · RePEc: Research Papers in Economics · Cited by 27,577
An Index of Factorial Simplicity
Kaiser, H. F. (1974) · Psychometrika · doi:10.1007/bf02291575 · Cited by 14,898
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
Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
Belsley, D. A., Kuh, E., & Welsch, R. E. (1980) · Wiley Series in Probability and Statistics · doi:10.1002/0471725153 · Cited by 7,297
Regression Diagnostics -- Identifying Influential Data and Sources of Collinearity
Beaumont, C. D., Belsley, D. A., Kuh, E., & Welsch, R. E. (1981) · The Journal of the Operational Research Society · doi:10.2307/2581267 · Cited by 6,359
Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
Vuong, Q. H. (1989) · Econometrica · doi:10.2307/1912557 · Cited by 5,929
Earnings, Book Values, and Dividends in Equity Valuation*
OHLSON, J. A. (1995) · Contemporary Accounting Research · doi:10.1111/j.1911-3846.1995.tb00461.x · Cited by 5,042
Audit committee, board of director characteristics, and earnings management
Klein, A. (2002) · Journal of Accounting and Economics · doi:10.1016/s0165-4101(02)00059-9 · Cited by 4,622
DECHOW, P. M., SLOAN, R. G., & SWEENEY, A. P. (1996) · Contemporary Accounting Research · doi:10.1111/j.1911-3846.1996.tb00489.x · Cited by 4,065
Disclosure, Liquidity, and the Cost of Capital
DIAMOND, D. W., & VERRECCHIA, R. E. (1991) · The Journal of Finance · doi:10.1111/j.1540-6261.1991.tb04620.x · Cited by 3,836
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Metadata
- Authors
- Song, C. J., Thomas, W. B., & Yi, H.
- Venue
- The Accounting Review
- Publisher
- American Accounting Association
- Published
- 2010-07-01
- Volume
- 85
- Issue
- 4
- Pages
- 1375-1410
- ISSN
- 0001-4826 (ISSN-L)
- 1558-7967
- OpenAlex
- W3122553588
- Cited by
- 512
- References
- 67
- FWCI
- 95.66
- Type
- journal article
- Language
- en
- Open access
- closed
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- Song, C. J., Thomas, W. B., & Yi, H. (2010). Value Relevance of FAS No. 157 Fair Value Hierarchy Information and the Impact of Corporate Governance Mechanisms. The Accounting Review. https://doi.org/10.2308/accr.2010.85.4.1375
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