EconPapers    
Economics at your fingertips  
 

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

Trịnh Thị Phan Lan (), Hoàng Thị Lan Anh () and Nguyen Thi Phi Nga ()

SPAST Reports, 2024, vol. 1, issue 6

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.

Keywords: Finance; Fintech; Loans; Behaviour; Commercial banks; Bad Debt; non-performing loans (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://spast.org/article/view/5040/427 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bps:jspath:v:1:y:2024:i:6:id:5040

Access Statistics for this article

SPAST Reports is currently edited by Srinesh Singh Thakur

More articles in SPAST Reports from SPAST Foundation
Bibliographic data for series maintained by Srinesh Singh Thakur ().

 
Page updated 2025-03-19
Handle: RePEc:bps:jspath:v:1:y:2024:i:6:id:5040