Predictive Local Risk Data for Mortgage Portfolio Management

Grounded in peer-reviewed research, with measurable impact on risk-adjusted portfolio returns. Embedded in Fitch Ratings' methodology for over 20 years.

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Your valuation model knows the borrower.

It doesn't know where they live — or where that market is headed.

Mortgage default is driven by local economic conditions: employment shocks, housing supply, price cycles, migration flows. These variables diverge sharply across markets and move independently of national trends. Historical location data captures where risk has been, but it tells you nothing about where it's going.

The result is systematic mispricing of local risks — and a gap in portfolio performance that shows up when regional conditions turn.

ForeScore

ForeScore is a predictive location risk score that complements a borrower's credit score in predicting default and prepayment risk at the ZIP code level over the full 30-year life of a mortgage loan.

The score is standardized around a baseline of 100. A ForeScore of 80 in a given ZIP indicates 20% lower risk than baseline; a score of 130 indicates 30% higher risk. Integration is straightforward: adjust your existing default or prepayment estimates by the same proportion as the ForeScore's deviation from par, and your model immediately reflects the future location risks your portfolios actually face.

EXAMPLE FORESCORE
50 100 par 150

130

30% higher risk than baseline

In UFA's analysis of mortgage loan performance, borrowers within the same credit score quintile carried up to five times greater default risk depending on where they lived. For risk managers, that distinction is the difference between accurate reserves and systematically mispriced exposure.

Embedded in Fitch Ratings

Through its collaboration with Fitch Ratings, ForeScore was developed to provide standardized metrics that their life-of-loan default model demanded. That relationship shaped the product — translating three decades of mortgage research into a practical metric for measuring the local economic components of future mortgage risk. It is now available to institutional investors for the first time.
“UFA has been a strategic partner to Fitch Ratings for over 20 years. In addition to providing ForeScores for default, they have consistently demonstrated transparency and a solutions-oriented approach. Their insights have helped inform our responses to residential mortgage market changes.”

G. BAILEY, FITCH RATINGS

Who We Are

In the 1990s, two finance professors founded UFA on a then-contrarian idea: that geography is as important as borrower credit in determining how a mortgage performs. ForeScore is three decades of research on that idea, made actionable.

Dennis R. Capozza, Ph.D. — Professor Emeritus of Finance, University of Michigan Ross School of Business – leads UFA's research and has published more than 100 peer-reviewed articles on mortgage risk, urban economics, and real estate finance. His consulting work spans Fannie Mae, Freddie Mac, Citicorp, and GE Capital. He is joined by Lawrence M. Benveniste, Ph.D. and Ryan D. Israelsen, Ph.D., both active academics with deep institutional consulting experience.

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