Credit Risk Assessment for a Small Bank by Using a Multinomial Logistic Regression Model

Abstract

The purpose of this study is to investigate indicators needed for credit risk measurement for the small bank, using financial information, as well as corporate information the bank collected over the years of relationships by using a multinomial logistic regression model. The analyses in this study show that not only financial information but non-financial information is the valuable source for a small bank risk assessment.

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