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Applied Economics Letters Volume 30, 2023 - Issue 4
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Research Article

An optimal weighted machine learning model for detecting financial fraud

Minghuan ShouBusiness School, University of Nottingham Ningbo China, Ningbo, ChinaCorrespondence[email protected]
,
Xueqi BaoBusiness School, University of Nottingham Ningbo China, Ningbo, China
&
Jie YuBusiness School, University of Nottingham Ningbo China, Ningbo, China
Pages 410-415 | Published online: 06 Oct 2021

References

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  • Sadgali, I., N. Sael, and F. Benabbou. 2019. “Performance of machine learning techniques in the detection of financial frauds.„ Procedia Computer Science, 148: 45–54. doi:10.1016/j.procs.2019.01.007
  • Song, X. P., Z. H. Hu, J. G. Du, and Z. H. Sheng. 2014. “Application of Machine Learning Methods to Risk Assessment of Financial Statement Fraud: Evidence from China.” Journal of Forecasting 33: 611–626. doi:10.1002/for.2294.
  • Wang, X., X. Xie, Y. H. Chen, and B. R. Zhao. 2021. “A Machine Learning Approach to Forecasting Trade Returns.” Applied Economics Letters 28:1-6. doi:10.1080/13504851.2021.1918624

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