Corporate ESG rating prediction based on XGBoost-SHAP interpretable machine learning model

The prediction of corporate ESG ratings is of paramount importance in augmenting the scientific rigor and precision of ESG investment decisions and steering corporate management of ESG-related risks. While machine learning methodologies have been extensively utilized in forecasting corporate behavio...

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Bibliographic Details

Published in:	Expert systems with applications Vol. 295; p. 128809
Main Authors:	Zhang, Jianfeng, Zhao, Zexin
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.01.2026
Subjects:	ESG rating prediction Machine learning SHAP XGBoost algorithm XGBoost algorithm SHAP ESG rating prediction Machine learning
ISSN:	0957-4174
Online Access:	Get full text
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