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Abstract The credit card business which includes not only the features of various consumption-type financial commodities, but also the properties of producing revenues from the charges of transaction fees and high revolving yields has been a global market product. In the light of increasing popularity of cards adoption, all domestic and international financial institutions have competed to join as a card issuer. Banks have been issuing cards and encourage prospect customers to hold multiple cards through relaxed approval and credit reference procedures, simply to attain market shares and achieve the goal on new issuing. With various promotion measures and plans of credit card level promotion pushed out continuously to attract customers to apply, statistics shows that platinum cards in Taiwan have broken the number of eight million. Taiwan has become the area of the highest density of having platinum cards in the world. It also causes both the benefit and risk of the banks. Thus it is extremely important for the banks to take the factors, which influence credit risk into consideration while submitting credit card level promotion so as to increase benefits. The origin of the samples in this research is from the customers qualified for credit card level promotion of one bank in Taiwan. One hundred and fifty eight normal customers and ninety-six default customers are selected by random sampling. The number of the total samples selected is 254 for analyzing and researching. We find that the eleven factors-education, marital status, auto pay for billing, loans, balance transfer, cash advance, card level promotion, the location of the billing address, the location of domicile, credit limit, years of holding cards and repayment record are the significant variables in the research of default customers qualified for credit card level promotion by the chi-square test. In this paper, the result of a Logistic Regression model is established by conducting chi-square test and Logistic Regression quantitative analysis. This model can provides an alternate reference value to banks policy officers as a supplement to their subjective judgments. It is hoped that better result may be yielded for credit risk review on new applications, and consequently, reduced occurrences of overdue and defaults.
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