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Determinant Influencing Non-Performing Loans: A Story of Vietnamese Commercial Banks

Authors :
Lan, Trịnh Thị Phan
Anh, Hoàng Thị Lan
Nga, Nguyen Thi Phi
Lan, Trịnh Thị Phan
Anh, Hoàng Thị Lan
Nga, Nguyen Thi Phi
Source :
SPAST Reports; Vol. 1 No. 6 (2024): ICSSR-1; 3048-5010
Publication Year :
2024

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.

Details

Database :
OAIster
Journal :
SPAST Reports; Vol. 1 No. 6 (2024): ICSSR-1; 3048-5010
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1455142914
Document Type :
Electronic Resource