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Real Earnings Management During Economic Downturns

Authors: Hong Kim Duong;

Real Earnings Management During Economic Downturns

Abstract

ABSTRACT This study examines the impact of economic downturns on real earnings management activities in an international setting. Using a sample of 27 countries between 1988 and 2016, I find that the extent of real earnings management increases and that the substitution relation between real earnings management and accrual-based earnings management becomes stronger during economic downturns. Managers tend to rely on real earnings management to avoid the threat of greater scrutiny during economic downturns. The effect of an economic downturn on real earnings management is stronger for firms with high earnings management incentives, such as to avoid reporting earnings decreases and losses, to just meet or beat analysts’ earnings forecasts, and to facilitate the success of seasonal equity offerings. The findings suggest that real earnings management comes at a high cost. Firms sacrifice future performance when engaging in real earnings management. Data Availability: Data are available from the public sources cited in the text. JEL Classifications: G14; G28; G39; M41.

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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!
3
Top 10%
Average
Average
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