This annual report describes FHFA's accomplishments, as well as challenges, the agency faced in meeting the strategic goals and objectives during the past fiscal year.
Read about the agency’s 2018 examinations of Fannie Mac, Freddie Mac and the Home Loan Bank System.
Submit comments and provide input on FHFA Rules Open for Comment by clicking on Rulemaking and Federal Register.
Implement critical reforms that will produce a stronger and more resilient housing finance system.
FOSTER competitive, liquid, efficient, and resilient (CLEAR) national housing finance markets that support sustainable homeownership and affordable rental housing; OPERATE in a safe and sound manner appropriate for entities in conservatorship; and PREPARE for eventual exits from the conservatorships.
2019 Conservatorships Strategic Plan
FHFA experts provide reliable data, including all states, about activity in the U.S. mortgage market through its House Price Index, Refinance Report, Foreclosure Prevention Report, and Performance Report.
FHFA economists and policy experts provide reliable research and policy analysis about critical topics impacting the nation’s housing finance sector. Meet the experts...
Language Translation Disclosure
Accurate and unbiased property value estimates are essential to credit risk management. Along with loan amount, they determine a mortgage’s loan-to-value ratio, which captures the degree of homeowner equity and is a key determinant of borrower credit risk. For home purchases, lenders generally require an independent appraisal, which, in addition to a home’s sales price, is used to calculate a value for the underlying collateral. A number of empirical studies have shown that property appraisals tend to be biased upwards, and over 90 percent of the time, either confirm or exceed the associated contract price. Our data suggest that appraisal bias is particularly pervasive in rural areas where over 25 percent of rural properties are appraised at more than five percent above contract price. Given this significant upward bias, we examine a host of alternate valuation techniques to more accurately estimate rural property values. We then include these alternate value estimates when modeling delinquencies and examine their explanatory power.
A revised version of this paper has undergone external peer-review and is published in an academic journal with open (free) access. Citation: Alexander N. Bogin, Jessica Shui. 2019. "Appraisal Accuracy and Automated Valuation Models in Rural Areas." The Journal of Real Estate Finance and Economics, 1-13. https://link.springer.com/article/10.1007%2Fs11146-019-09712-0
© 2019 Federal Housing Finance Agency