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Author

Anwar Al-Gasaymeh

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Open access Aug 2026

Predicting Credit Risk with ESG Factors Using XGBoost and Structural Learning in Vague Environments (SLAVE) in Commercial Banks

Regression results reveal that profitability and ESG score significantly reduce credit risk and liquidity risk and monetary freedom increase credit risk, making these indicators valuable for risk management frameworks in the Middle Eastern banking sector.

J. Jaber, A. A. Alkhawaldeh, Qusay Ayman Sulayman Mazahreh et al. · 0 citations

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