Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Predicting Earnings Management: The Case of Earnings Restatements

Authors: Scott A. Richardson; A. Irem Tuna; Min Wu;

Predicting Earnings Management: The Case of Earnings Restatements

Abstract

This paper examines the usefulness of accounting information in predicting earnings management. We investigate a comprehensive sample of firms from 1971-2000 that restated annual earnings. We find that firms restating earnings have high market expectations for future earnings growth and have higher levels of outstanding debt. We also find that a primary motivation for the earnings manipulation is the desire to attract external financing at a lower cost. Furthermore, our evidence suggests that restating firms have been attempting to maintain a string of consecutive positive earnings growth and consecutive positive quarterly earnings surprises. Together, our evidence is consistent with capital market pressures acting as a motivating factor for companies to adopt aggressive accounting policies. Finally, we document that information in accruals, specifically, operating and investing accruals, are key indicators of the earnings manipulation that lead to the restatement. Collectively, the evidence suggests that market participants can gain substantial value from a careful consideration of information in financial statements.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    191
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
191
Top 1%
Top 1%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!