Abstract
This study aims to analyze the factors influencing non-performing loans (NPLs) in commercial banks during the period 2016-2022. The study utilized a sample of 16 joint-stock commercial banks in Vietnam. The authors employed three regression models: Pooled OLS, Fixed Effects Model (FEM), and Random Effects Model (REM), ultimately selecting REM as the most appropriate model. The results show that out of 5 variables, GDP and bank size have a negative impact on bad debt ratio. However, credit growth rate, credit loss provision and loan to total assets ratio have the same direction on NLPs.
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