Predicting Financial Distress via Static and Dynamic Features: A Boruta-Enhanced XGBoost Approach with SHAP Interpretability

Computational Economics 2026

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Authors: Mei Yang, Yingying Zhang, Yuchun Li, Feng Hong, Tao Wang
DOI: 10.1007/s10614-026-11334-7
Cited by: 3
References: 34

Fields of Study & Subjects

Financial Distress and Bankruptcy Prediction Imbalanced Data Classification Techniques Explainable Artificial Intelligence (XAI)

Publication details

Journal / source
Computational Economics
Publisher
Springer Science and Business Media LLC
Publication date
10 March 2026
Language
EN