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 2016 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.
Goal: Help restore confidence, enhance capacity to fulfill mission, and mitigate systemic risk that contributed directly to instability in financial markets.
MAINTAIN foreclosure prevention activities and credit availability, REDUCE taxpayer risk, and BUILD a new single-family securitization infrastructure. Read more in the 2016 Scorecard and Conservatorships Strategic Plan.
Plans and Reports
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.
HARP - the Home Affordable Refinance Program was created by FHFA specifically to help homeowners current on their mortgage payments, but underwater on their mortgages.
FHFA economists and policy experts provide reliable research and policy analysis about critical topics impacting the nation’s housing finance sector.
Meet the experts...
Key Topics pages provide information about FHFA's work on a range of issues facing the nation and highlight the most relevant related news releases, reports, statements and web pages on the respective topics.
The Honorable Melvin L. Watt of Charlotte, NC sworn in on January 6, 2014 to a 5-year term as the first Senate-confirmed Director of FHFA.
Read more about Director Watt
Alexander N. Bogin, Senior Economist; William M. Doerner, Senior Economist; William D. Larson, Senior Economist
We make two contributions to the study of house price index and mortgage credit modeling accuracy. First, we assess the predictive power of house price indices calculated at different levels of geographic aggregation. Lower levels of aggregation offer superior fit when appreciation rates vary substantially across submarkets and the indices are based on a sufficient number of transactions. Second, we estimate a competing options credit model using 15 years of mortgage performance data in the United States. Model accuracy is highest when using indices at a city or lower level of aggregation to construct current loan-to-value ratios. Fit is weaker when using state or national price indices. Overall, this research highlights the benefits of using more localized house price indices when predicting property values and mortgage performance.
This research was selected as the best paper in 2016 in real estate market analysis by the American Real Estate Society. Please cite this working paper when using the annual HPI data for census tracts. Our other local HPI data were made for and described in our
Working Paper 16-01. The local HPI data can be downloaded on the HPI Downloadable Data page or with these following links:
Related papers: FHFA Working Paper 16-01: Local House Price Dynamics and
FHFA Working Paper 16-02: Local House Price Growth Accelerations
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