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

Review of quantitative finance and accounting, 2022-07, Vol.59 (1), p.123-169 [Peer Reviewed Journal]

The Author(s) 2022 ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0924-865X ;EISSN: 1573-7179 ;DOI: 10.1007/s11156-022-01041-3

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  • Title:
    The context of earnings management and its ability to predict future stock returns
  • Author: Nguyen, Nguyet T. M. ; Iqbal, Abdullah ; Shiwakoti, Radha K.
  • Subjects: Accounting ; Accounting/Auditing ; Corporate Finance ; Earnings ; Earnings management ; Econometrics ; Economics and Finance ; Finance ; Financial reporting ; Financial statements ; Investments ; Operations Research/Decision Theory ; Original Research ; Securities analysis ; Stock exchanges ; Stock prices
  • Is Part Of: Review of quantitative finance and accounting, 2022-07, Vol.59 (1), p.123-169
  • Description: 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.
  • Publisher: New York: Springer US
  • Language: English
  • Identifier: ISSN: 0924-865X
    EISSN: 1573-7179
    DOI: 10.1007/s11156-022-01041-3
  • Source: Springer Nature OA/Free Journals
    ProQuest Central
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