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Cross-Firm Real Earnings Management

Authors: Eti Einhorn; Nisan Langberg; Tsahi Versano;

Cross-Firm Real Earnings Management

Abstract

Our analysis is rooted in the notion that stockholders can learn about the fundamental value of any particular firm from observing the earnings reports of its rivals. We argue that such intra-industry information transfers, which have been broadly documented in the empirical literature, may motivate managers to alter stockholders’ beliefs about the value of their firm not only by manipulating their own earnings report but also by influencing the earnings reports of rival firms. Managers obviously do not have access to the accounting system of peer firms, but they can nevertheless influence the earnings reports of rival firms by distorting real transactions that relate to the product market competition. We demonstrate such managerial behavior, which we refer to as cross-firm real earnings management, and explore its potential consequences and its interrelation with the practice of accounting-based earnings management within an industry setting with imperfect (non-proprietary) accounting information.

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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!
1
Average
Average
Average
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