A Comparison of Analysts' and Investors' Biases in Interpreting Accruals: A Valuation Approach
Publication Type
Journal Article
Publication Date
2007
Abstract
Elgers, Lo, and Pfeiffer (2003) argue that analysts' earnings forecasts are less biased than the market's earnings expectation in interpreting accruals. Their argument implies that analysts' earnings forecasts could potentially mitigate the market's mispricing of accruals by guiding investors to reduce their earnings prediction errors arising from the misinterpretation of accruals. Their results call for further investigation, however, owing to two questionable research design choices: (1) estimating the magnitude of the market's bias using the traditional earnings response coefficient (ERC) model, which is vulnerable to the well-known omitted-variable problem; and (2) examining only the bias in short-term (i.e., one-year-ahead) earnings expectations, ignoring possible bias in earnings expectations for longer future periods. To alleviate these concerns, we take an alternative approach in which we compare the bias of the market's equity value estimates (i.e., stock prices) against the bias of equity value estimates based on analysts' earnings forecasts in valuing accruals. By taking this alternative approach, we find that analysts' earnings forecasts are more biased than stock prices in interpreting accruals. Thus, contrary to Elgers, Lo, and Pfeiffer (2003), we conclude that analysts' earnings forecasts do not mitigate the market's mispricing of accruals. [ABSTRACT FROM AUTHOR]
Discipline
Accounting | Finance and Financial Management | Portfolio and Security Analysis
Research Areas
Financial Performance Analysis
Publication
Journal of Accounting Auditing and Finance
Volume
22
Issue
3
First Page
383
Last Page
422
ISSN
0148-558X
Identifier
10.1177/0148558X0702200303
Publisher
SAGE
Citation
Yoo, Yong Keun and Kang, Tony.
A Comparison of Analysts' and Investors' Biases in Interpreting Accruals: A Valuation Approach. (2007). Journal of Accounting Auditing and Finance. 22, (3), 383-422.
Available at: https://ink.library.smu.edu.sg/soa_research/194