No two credit scores are the same, even if they belong to the same person. That's because the financial industry uses different scoring models for different purposes. FICO and VantageScore are most ...

The FHFA announcement directs Fannie Mae and Freddie Mac to permit lenders to choose between two approved credit score models – Classic FICO and VantageScore 4.0 – for loans sold to Fannie Mae and ...

You don't need a perfect credit score to be financially stable -- or exceptional, for that matter. Here's a better number to ...

The companies that buy up the majority of the country’s home loans will now accept a second credit scoring model for mortgages — a change that could help underrepresented borrowers qualify for ...

If you’re preparing to buy a home, you probably know that one of the most important criteria that lenders will consider is your credit score. But are the credit scores they look at the same ones that ...

A credit scoring model is a statistical tool used by lenders and credit bureaus to evaluate the likelihood of a borrower repaying their debt. These models assign a score based on factors like payment ...

The VantageScore 4.0 credit scoring model scores 33 million more people than traditional models. With the FHFA mandating the use of VantageScore 4.0 for Fannie Mae and Freddie Mac guaranteed mortgages ...

FICO announced it will begin factoring Buy Now, Pay Later (BNPL) loans into scoring models. FICO, the creator of America’s most widely used credit-score system, will begin factoring Buy Now, Pay Later ...

Key insight: Experian combines credit, cashflow, trended, and alternative data into one underwriting score. Expert quote: Experian's Scott Brown suggests the model lets lenders "say yes" more often.

The Juzt Card is one example of a digital-first credit product built with this experience in mind. By simplifying the application and onboarding process, it aims to make responsible credit more ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...