• Journal of Families and Better Life
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• v.26 no.6
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• pp.35-50
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• 2008

The purpose of this study was to analyze the characteristics and financial status of credit delinquents utilizing the debt management program of the Credit Counseling and Recovery Service between January-June in 2007. Total sample of 41,355 cases was analyzed using the statistical program SPSS(Version 12.0). For analysis, descriptive statistics, F-test, Scheffe test, t-test, logit analysis and regression analysis were employed. People in the age range of 30-40s, males, high-school graduates, married couples, part-time employees, costfree residents and residents in other regions were relatively high users of the debt management program. Reasons of credit delinquency were diverse and was combined to credit default. However, increases in expenses and income reductions were found to be the most frequent reasons. Financial conditions of delinquents were worse than those of average persons shown on the national statistics. It was also found that age, sex, educational level, occupation, region of residence, home-ownership, reason of delinquency, income and total outstandings of debt were significant determinants of short-term debt burden which was measured by the ratio of monthly payment to income and long-term debt burden which was measured by repayment period.

• Information Systems Review
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• v.23 no.1
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• pp.69-91
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• 2021

Credit Bureaus in Korea commonly use financial transaction information of the past and present time for calculating an individual's credit scores. Compared to other rating factors, the repayment history information accounts for a larger weights on credit scores. Accordingly, despite full redemption of overdue payments, late payment history is reflected negatively for the assessment of credit scores for certain period of the time. An individual with debt delinquency can be classified into two groups; (1) the individuals who have faithfully paid off theirs overdue debts(Normal Repayment), and (2) those who have not and as differences of creditworthiness between these two groups do exist, it needs to grant relatively higher credit scores to the former individuals with normal repayment. This study is designed to analyze the factors of normal repayment of Korean financial debt delinquents based on credit information of personal loan, overdue payments, redemption from Korea Credit Information Services. As a result of the analysis, the number of overdue and the type of personal loan and delinquency were identified as significant variables affecting normal repayment and among applied methodologies, neural network models suggested the highest classification accuracy. The findings of this study are expected to improve the performance of individual credit scoring model by identifying the factors affecting normal repayment of a financial debt delinquent.