Preprint Article Version 1 This version is not peer-reviewed

Warning Credit Risk for Vietnamese Commercial Banks - Case Study: Corporate Customer

Version 1 : Received: 20 February 2019 / Approved: 21 February 2019 / Online: 21 February 2019 (13:30:48 CET)

How to cite: Nguyen Van, H.; Nguyen Thi, H.; Do Nang, T. Warning Credit Risk for Vietnamese Commercial Banks - Case Study: Corporate Customer. Preprints 2019, 2019020210 (doi: 10.20944/preprints201902.0210.v1). Nguyen Van, H.; Nguyen Thi, H.; Do Nang, T. Warning Credit Risk for Vietnamese Commercial Banks - Case Study: Corporate Customer. Preprints 2019, 2019020210 (doi: 10.20944/preprints201902.0210.v1).

Abstract

Stemming from the urgency of the actual situation, commercial banks need an effective credit risk management tool to limit risks. The authors went to survey, study and propose a set of factors affecting the ability of debt repayment of individual customers and conducting surveys. The topic uses data sets including 240 observation samples. Using the SPSS software to clean data and run the model based on Maddala's Binary logistics regression published in 1984 to find out the impact of each individual element of customers affecting their ability to repay such debts. Come on. The authors also specify the order of influence of each factor determining the ability to repay individual customers, thereby helping bank managers have a better visual view to make decisions for borrowing accurately, limiting risks.

Subject Areas

warning model, credit risk, logistics model

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