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Cited by 842

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Earnings Management to Avoid Earnings Declines across Publicly and Privately Held Banks

Beatty, Anne L., Ke, Bin, Petroni, Kathy R.·2002·The Accounting Review

Abstract

This study compares samples of publicly and privately held bank holding companies to examine whether the high frequency of small earnings increases relative to small earnings decreases reported by public firms is attributable to earnings management. We expect public banks' shareholders to be more likely than private banks' shareholders to rely on simple earnings-based heuristics in evaluating firm performance, so we expect public banks to have more incentives to report steadily increasing earnings. Consistent with this expectation, we find that relative to private banks, public banks: (1) report fewer small earnings declines, (2) are more likely to use the loan loss provision and security gain realizations to eliminate small earnings decreases, and (3) report longer strings of consecutive earnings increases. These results suggest that the asymmetric pattern of more small earnings increases than decreases, first documented by Burgstahler and Dichev (1997), is attributable to earnings management and is not simply a reflection of the underlying distribution of earnings changes.

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Metadata

Authors
Beatty, A. L., Ke, B., & Petroni, K. R.
Venue
The Accounting Review
Published
2002-07-01
Volume
77
Issue
3
Pages
547-570
ISSN
  • 0001-4826 (ISSN-L)
  • 1558-7967
OpenAlex
W2065351829
Cited by
842
References
2
FWCI
54.77
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Earnings Management to Avoid Earnings Declines across Publicly and Privately Held Banks. https://app.cochat.ai/papers/10.2308/accr.2002.77.3.547
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Beatty, A. L., Ke, B., & Petroni, K. R. (2002). Earnings Management to Avoid Earnings Declines across Publicly and Privately Held Banks. The Accounting Review. https://doi.org/10.2308/accr.2002.77.3.547

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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.