Estimated Race/GenderWe employ the Bayesian Improved Surname Geocoding (BISG) method to estimate race probability. We use a first name database to assign gender.
Expected Rate ModelingBy analyzing your loan data we estimate the expected interest rate for each loan, controlling for origination time period and credit quality. We can then compare these results to actual rates charged to determine if potential discrimination exists.
Expected Approval Rate Modeling*For loan applications we calculate an expected approval rate for each applicant and then compare these results to actual approvals or denials.
SteeringOur steering ratios determine if there is comparative evidence of steering, or abnormal concentrations of disadvantageous products by prohibited basis groups.
Denial Ratio AnalysisFor loan applications, our software analyzes your denial (or approval) ratios, as well as time to decision metrics for potential discrimination.
Potential DiscriminationWe employ several statistical tests to analyze whether potential disparate treatment/discrimination exists in the form of pricing discrimination, steering, or approvals, and, where possible, highlight these situations with clear red, yellow, and green indicators.
- *Contact Visible Equity for current availability
Creative Metrics Encompassing Financial Health
I owe it to my primary financial institution for helping guide me through the highs and lows of my financial journey. When I was fresh out of college they helped me set up a sustainable plan to tackle mounds of student loan debt, they assisted me and my husband when we bought our first home toget...
9002? 9003? Let’s talk weird credit scores.
Why is my credit score above 9000? Does that mean that I’m reeeally good with my credit activity? Well, no—it doesn’t mean that at all, actually. But on the other hand, it may not mean that you’re bad with your credit activity either. Regardless, a lot of us have the same questions, and the answe...
On Predicting Mortgage Defaults
Happy daylight-savings week everybody! Hopefully you’ve managed to catch up on that lost hour of sleep and are all ready for some light reading about credit risk. With many of you making nice progress on your CECL implementation, we have noticed the dialogue gradually shifting away from theory...