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The context of earnings management and its ability to predict future stock returns

Nguyen, Nguyet Thi Minh, Iqbal, Abdullah, Shiwakoti, Radha K. (2022) The context of earnings management and its ability to predict future stock returns. Review of Quantitative Finance and Accounting, 59 (1). pp. 123-159. ISSN 0924-865X. E-ISSN 1573-7179. (doi:10.1007/s11156-022-01041-3) (KAR id:64815)

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https://doi.org/10.1007/s11156-022-01041-3

Abstract

This paper constructs a signal-based composite index, namely ESCORE, which captures the context of earnings management. Specifically, ESCORE aggregates 15 individual signals related to both accrual and real earnings management based on prior relevant literature. After establishing that ESCORE is capable of capturing the context in which earnings management is more likely to occur, the study finds that low ESCORE firms outperform those with high ESCORE by an average of 1.37% per month after controlling for risk loadings on the market, size, book-to-market and momentum factors up to one year after portfolio formation in the UK. This finding implies that investors tend to ignore the observable context of earnings management. In addition, with ESCORE model, investors do not need to estimate the magnitude of earnings management, rather it is sufficient to look at the surrounding context to differentiate between low and high earnings management firms. Finally, when tested using the US data, most of the main results of the study appear to hold.

Item Type: Article
DOI/Identification number: 10.1007/s11156-022-01041-3
Uncontrolled keywords: Earnings management; market anomaly; stock returns predictability; earnings management detection models; real earnings management; accruals.
Subjects: H Social Sciences > HF Commerce > HF5601 Accounting
H Social Sciences > HG Finance
Divisions: Divisions > Kent Business School - Division > Department of Accounting and Finance
Depositing User: Abdullah Iqbal
Date Deposited: 28 Nov 2017 11:24 UTC
Last Modified: 02 Aug 2022 13:48 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/64815 (The current URI for this page, for reference purposes)
Iqbal, Abdullah: https://orcid.org/0000-0002-3013-1007
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