Machine learning improves accounting: discussion, implementation and research opportunities

Author:

Bertomeu JeremyORCID

Publisher

Springer Science and Business Media LLC

Subject

General Business, Management and Accounting,Accounting

Reference23 articles.

1. Bao, Y., Ke, B., Li, B., Yu, Y.J., & Zhang, J. (2019). Detecting accounting fraud in publicly traded us firms using a machine learning approach. Available at SSRN 2670703.

2. Barth, M.E., Li, K., & McClure, C. (2019). Evolution in value relevance of accounting information.

3. Bertomeu, J., Beyer, A., & Taylor, D.J. (2016). From casual to causal inference in accounting research: The need for theoretical foundations. Foundations and Trends in Accounting, 10(2-4), 262–313.

4. Bertomeu, J., Cheynel, E., Floyd, E., & Pan, W. (2019). Using machine learning to detect misstatements. Available at SSRN 3496297.

5. Binz, O, Katherine, S, & Stanridge, K. (2020). What can analysts learn from artificial intelligence about fundamental analysis?.

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