Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7368130 | Journal of Monetary Economics | 2018 | 40 Pages |
Abstract
Using a unique panel dataset that contains comprehensive information about the relationships between a large bank and its credit card customers, we show that relationship accounts exhibit lower probabilities of default and attrition, and have higher utilization rates, than non-relationship accounts. Dynamic information about changes in the behavior of a customer's other accounts at the same bank helps predict the behavior of the credit card account over time. These results imply that relationship banking offers significant potential benefits to banks: information the lender has at its disposal can be used to mitigate credit risk on the credit card account.
Related Topics
Social Sciences and Humanities
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Economics and Econometrics
Authors
Sumit Agarwal, Souphala Chomsisengphet, Chunlin Liu, Changcheng Song, Nicholas S. Souleles,