Using machine learning to detect misstatements
Author:
Funder
University of California, San Diego
Publisher
Springer Science and Business Media LLC
Subject
General Business, Management and Accounting,Accounting
Link
https://link.springer.com/content/pdf/10.1007/s11142-020-09563-8.pdf
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3. Bao, Y., Ke, B., Li, B., Julia Yu, Y., & Zhang, J. (2020). Detecting accounting fraud in publicly traded us firms using a machine learning approach. Journal of Accounting Research, 58(1), 199–235.
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5. Beneish, M.D. (1999). The detection of earnings manipulation. Financial Analysts Journal, 55(5), 24–36.
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