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Keyword: Credit Card Default Risk
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11 Pages, 1,302 KB Download PDF

Generalized Linear Model for Predicting the Credit Card Default Payment Risk

Advances in Science, Technology and Engineering Systems Journal, Volume 7, Issue 3, Page # 51–61, 2022; DOI: 10.25046/aj070306
Abstract:

Predicting the credit card default is important to the bank and other lenders. The credit default risk directly affects the interest charged to the borrower and the business decision of the lenders. However, very little research about this problem used the Generalized Linear Model (GLM). In this paper, we apply the GLM to predict the…

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(This article belongs to the Special Issue on Innovation in Computing, Engineering Science & Technology 2022 & Section Information Systems in Computer Science (CIS))

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