Using machine learning to detect misstatements
Year of publication: |
2021
|
---|---|
Authors: | Bertomeu, Jeremy ; Cheynel, Edwige ; Floyd, Eric ; Pan, Wenqiang |
Published in: |
Review of accounting studies. - Dordrecht [u.a.] : Springer Science + Business Media B.V., ISSN 1573-7136, ZDB-ID 2004326-0. - Vol. 26.2021, 2, p. 468-519
|
Subject: | 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 | Künstliche Intelligenz | Artificial intelligence | Data Mining | Regressionsanalyse | Regression analysis | Lieferkette | Supply chain | Bilanzpolitik | Accounting policy | Prognoseverfahren | Forecasting model | Betrug | Wirtschaftsprüfung | Financial audit |
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