Predicting Credit Risk
Smarter loan decisions and risk management
Banks and credit unions have long been in the business of managing risk, so it comes as no surprise that innovative institutions and their providers are finding better ways to use data to perform risk assessments. A probability of default model (PDM) is one way that institutions can use financial information about a borrower to anticipate future risk in the borrower’s ability to service debt.
The Predicting Credit Risk Whitepaper explains how PD models can equip institutions to more proactively mitigate potentially delinquent loans in an objective way that appeases examiners and auditors.
Download to learn:
- How to make “smarter”, not “good” loan decisions
- The basics of a Probability of Default Model
- How to apply a PD model to credit risk and portfolio risk
Download Free Whitepaper