White Paper: Understanding Automotive Loan Charge-off Patterns Can Help Mitigate Lender Risk
Jul 18, 2012
Loan delinquency rates are one of the most important statistics to track in the automotive finance industry. If consumers are not repaying loans on time, it puts billions of dollars at risk. When high dollar volumes are at risk, it is a negative for everyone in the lending world, including consumers, automotive retailers and lenders themselves.
Reject inference is the practice of using information to make a probabilistic guess as to the outcome of an application that was declined by a lender. In this paper, we walk through three approaches to iterative reclassification and provide an assessment of their efficacy based on classification accuracy.
With consumers immersed in the holiday season, retailers enjoy the constant swiping of credit cards. As a lender, shopping means both opportunity and risk. Credit utilization peaks this time of year, but high balances result in consumers seeking greater card deals. To capitalize on this prime season to grow, and protect from attrition, leveraging specific models and/or tools can help identify when to lower APRs, sweeten rewards and increase credit limits for specific consumers. Check out our holiday infographic illustrating post-holiday trends and solutions.
As the playing field is stabilizing for the credit card industry, lenders are in a position now more than ever to grow their profits. Consumers are motivated to manage their cash flows, and improve their credit health; and they are transferring card balances, seeking the best rates. Watch this video and learn how to attract the right audience, segment the surfers and deleveragers, and build customer loyalty.
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