Abstract
Recent studies in marketing have consistently shown that all customers are not equally profitable. In the credit card business, all customers are not equally risky. When a customer misses one payment on a credit card bill, a signal is sent to the credit card company. It is important for the card issuer to interpret the signal and to identify whether the customer is a low-risk one, who will eventually pay back the debt and contribute to the card issuer's profits by paying interest on the overdue balance, or a high-risk one, who will not pay back the debt. The issuer can then customize its policies to deal with these different consumer types. This article develops a dynamic model for debt repayment behavior of new customers in the credit card market that makes it possible to differentiate between low-risk, delinquent customers and high-risk customers. The authors apply the model to a data set of new consumers' monthly spending and repayment records.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.