A Bayesian latent variable model with classification and regression tree approach is built to overcome three challenges encountered by a bank in credit-granting process. These three challenges include (1) the bank wants to predict the future performance of an applicant accurately; (2) given current information about cardholders’ credit usage and repayment behavior, financial institutions would ...

In credit risk management, migration or transition matrices are major inputs for risk management, Credit Value-at-Risk or derivative pricing. After reviewing distance measures for migration matrices we propose some new directed difference indices to measure changes in migration behavior in a more risk-sensitive way. We quantify the changes of the classical distance measures and the new distance...

Behavior analysis of credit cardholders is one of the main research topics in credit card portfolio management. Usually, the cardholder’s behavior, especially bankruptcy, is measured by a score of aggregate attributes that describe cardholder’s spending history. In real-life practice, statistics and neural networks are the major players to calculate such a score system for prediction. Recently,...

Charles Sprenger and Joanna Stavins Abstract: Approximately half of credit card holders in the United States regularly carry unpaid credit card debt. These so‐called “revolvers” exhibit payment behavior that differs from that of those who repay their entire credit card balance every month. Previous literature has focused on the adoption of debit cards by people who carry credit card balances, ...

This paper constructs a multiple regression model to evaluate the overdue risk of credit card holders. The results can identify the factors influencing the credit card holders’ overdue risk behavior in order to provide card issuing banks a decision-making reference in the investigation of credit card holders’ related characteristics and the relationship quality between the credit card holders a...

With the help of a commercial bank in China, we studied consumer credit card debt behavior in correlation with demographics, attitude, personality, and credit card features factors. The study was conducted by using mail-in questionnaires, which were sent to credit card holders who was using or had used either revolving credit or petty installment plans. According to regression functions, we fou...

This study applied the theory of planned behavior to examine factors associated with the intention and behavior of staying in debt management plans (DMP) using data collected from a sample of clients of a national credit counseling agency. The findings of this study suggest that the behavioral intention is positively associated with the attitude toward the behavior, perceived control, satisfact...

Access to credit markets is generally considered a hallmark of developed economies. In the United States, most households appear to have substantial ability to borrow; indeed, households in the United States have an average of over $23,000 in nonmortgage debt alone. Nevertheless, economists often point to limited borrowing opportunities for lower-income households to explain anomalous findings ...

This paper analyzes the credit demand depression phenomenon resulting from long-term institutional supply rationing. Under the interaction between imperfect formal credit system and rural households’ risk aversion behavior, rural households will be discouraged to depress their credit demand or replace it with informal credit, which we call demand-side credit constraints. It find that about 33.7...