Fannie, Freddie and FHA to Accept Alternative Credit Scores

What happened

The Federal Housing Finance Agency and Department of Housing and Urban Development jointly announced that Fannie Mae, Freddie Mac, and the Federal Housing Administration will accept VantageScore 4.0 and FICO 10T as eligible credit scoring models for mortgage underwriting. VantageScore 4.0, jointly owned by Equifax, Experian, and TransUnion, uses trended credit data and incorporates payment histories for rent and utilities. FICO 10T also considers rental and utility payment history. Fannie Mae updated its Selling Guide to allow lenders to use VantageScore 4.0 immediately, with 21 top lenders already approved and $10 million in loans delivered under a trial program. The FHA will implement acceptance in the coming months. This represents a significant departure from the decades-long reliance on legacy FICO models that dominated mortgage lending.

Why it matters

For Equifax, this development represents a potential competitive advantage as a co-owner of VantageScore. The credit bureau stands to benefit from increased adoption of alternative credit scoring models by government-backed mortgage entities that provide $8.5 trillion in funding for U.S. mortgage markets. Greater use of VantageScore could drive higher revenue from credit report sales and scoring services. Equifax, along with Experian and TransUnion, recently cut prices for VantageScore credit reports, with costs now at 99 cents compared to FICO's $10 fee. The policy shift introduces meaningful competition in a credit-scoring market historically dominated by FICO, potentially creating new revenue opportunities for Equifax as more lenders adopt the model. However, experts suggest the actual impact on mortgage origination volumes may be limited, as high housing costs remain the primary barrier to homeownership rather than credit scoring methodology.

Bigger picture

This announcement marks one of the most significant shifts in mortgage credit evaluation in decades, building on the Credit Score Competition Act and a 2022 FHFA decision to approve both scoring models. The move reflects the Trump administration's broader effort to modernize credit scoring and expand homeownership access, particularly for younger Americans and those with non-traditional income sources like gig workers. Industry groups including the National Association of Realtors and Mortgage Bankers Association have supported the change, citing potential benefits for transparency, competition, and borrower costs. However, consumer advocates have raised concerns about whether VantageScore truly represents competition, given it is owned by the three major credit bureaus. Some experts also warn that incorporating rental payment data could harm renters if negative information is included in credit reports used by landlords. Government data suggests the number of consumers who would benefit significantly may be limited to tens of thousands rather than millions, as those without credit scores are often young or elderly individuals less likely to seek mortgages.

What to watch

Monitor the pace of VantageScore 4.0 adoption among lenders as they update underwriting systems and processes. Watch whether the policy change materially increases mortgage origination volumes or primarily shifts market share between credit scoring providers. Track any pricing responses from FICO, which reportedly is considering reducing its credit score cost from $10 to 99 cents to match VantageScore. Observe whether the Federal Housing Administration implements its acceptance of alternative scores in the coming months as planned. Also watch for congressional action on potential legislation to end Fannie Mae and Freddie Mac's conservatorship, and any movement toward a possible IPO of the two mortgage giants, which officials said could be valued at $500 billion or more combined. Finally, monitor data on whether the change actually expands mortgage access for creditworthy borrowers or whether high housing costs continue to limit homeownership rates.

This article was generated by Quantli AI using publicly available news sources.