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Modeling Credit Risk in Credit Unions using Survival Analysis July 2016Abstract: This paper investigates proprietary data from customers of a Southern Louisiana credit union. We show factors that
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Modeling credit risk is the process of using statistical models to assess and predict the likelihood of loss from a borrower failing to repay a loan.
Financial institutions and lenders are required to file modeling credit risk assessments.
Modeling credit risk can be filled out by collecting and analyzing data on borrower credit history, economic conditions, and other relevant factors.
The purpose of modeling credit risk is to help lenders make informed decisions about lending money to borrowers and to manage the overall risk in their loan portfolios.
Information such as credit scores, debt-to-income ratios, loan amounts, and repayment history must be reported on modeling credit risk assessments.
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