RePEcML & AI Methods
Predicting Corporate Fraud with Machine Learning
The study applies a machine learning model using the GONE framework to predict corporate fraud in China, revealing that the Random Forest model is superior and that exposure variables are vital for accurate prediction.
Featured in No. 10 on 2 Aug 2023 · on release day
- Released
- 2 Aug 2023
- First featured
- No. 10 · 2 Aug 2023
- Published in
- Not yet, as far as Semantic Scholar knows
- Shares when featured
- 20
- Identifier
- RePEc:kap:jbuset:v:186:y:2023:i:1:d:10.1007_s10551-022-05120-2
Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).