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Using machine learning to detect misstatements

Author

Listed:
  • Jeremy Bertomeu

    (Washington University)

  • Edwige Cheynel

    (Washington University)

  • Eric Floyd

    (University of California San Diego)

  • Wenqiang Pan

    (Columbia University)

Abstract

Machine learning offers empirical methods to sift through accounting datasets with a large number of variables and limited a priori knowledge about functional forms. In this study, we show that these methods help detect and interpret patterns present in ongoing accounting misstatements. We use a wide set of variables from accounting, capital markets, governance, and auditing datasets to detect material misstatements. A primary insight of our analysis is that accounting variables, while they do not detect misstatements well on their own, become important with suitable interactions with audit and market variables. We also analyze differences between misstatements and irregularities, compare algorithms, examine one-year- and two-year-ahead predictions and interpret groups at greater risk of misstatements.

Suggested Citation

  • Jeremy Bertomeu & Edwige Cheynel & Eric Floyd & Wenqiang Pan, 2021. "Using machine learning to detect misstatements," Review of Accounting Studies, Springer, vol. 26(2), pages 468-519, June.
    • Handle: RePEc:spr:reaccs:v:26:y:2021:i:2:d:10.1007_s11142-020-09563-8
    DOI: 10.1007/s11142-020-09563-8
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    References listed on IDEAS

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    More about this item

    Keywords

    Restatement; Manipulation; Earnings management; Machine learning; Data analytics; Regression tree; Misstatement; Irregularity; Fraud; Prediction; SEC; Enforcement; Gradient boosted regression tree; Data mining; Accounting; Detection; AAERs;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G38 - Financial Economics - - Corporate Finance and Governance - - - Government Policy and Regulation
    • K22 - Law and Economics - - Regulation and Business Law - - - Business and Securities Law
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

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