Developing a Credit Risk Early Warning Model using Regression Model. A Case Study in Vietnam

Do Nang Thang

Abstract: In this paper, the author has conducted researches and investigations about risk management in Vietnamese commercial banking system.210 observations from companies were collected by survey and SPSS software was used to perform Maddala’s Binary logistics regression model (1984) to find out individual impacting factors that affects the loan repayment ability of corporate customers. Results from above process were aligned by affecting power for better evaluation thus supports banking mangers in disbursement decision making, reduces credit risks.

Keywords: warning models, credit risk, logistics model, financial factor, loan repayment ability, corporate customers, credit risk management

How to Cite?: Do Nang Thang, "Developing a Credit Risk Early Warning Model using Regression Model. A Case Study in Vietnam", Volume 8 Issue 9, September 2019, International Journal of Science and Research (IJSR), Pages: 638-642, https://www.ijsr.net/getabstract.php?paperid=ART20201039, DOI: https://dx.doi.org/10.21275/ART20201039