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Djamalov Gofir Oribjanovich

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Open access Aug 2026

PREDICTIVE MACHINE LEARNING MODELS FOR MITIGATING NON-PERFORMING LOANS IN EMERGING BANKING SYSTEMS

This study benchmarks four supervised machine learning classifiers — logistic regression, random forest, gradient boosting, and extreme gradient boosting (XGBoost) — in predicting twelve-month-ahead loan delinquency using a loan-level panel drawn from commercial banks operating in an emerging Central Asian banking syst...

Djamalov Gofir Oribjanovich · 0 citations
Open access Aug 2026

ECONOMETRIC ASSESSMENT OF MACROECONOMIC FACTORS INFLUENCING NON-PERFORMING LOANS IN COMMERCIAL BANKS

This study develops a dynamic panel econometric framework to quantify the structural impact of macroeconomic conditions on the non-performing loan (NPL) ratios of commercial banks across a panel of twenty-eight emerging market economies observed between 2010 and 2024. Addressing dynamic persistence and the endogeneity...

Djamalov Gofir Oribjanovich · 0 citations

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