Missing the Mark: House Price Index Accuracy and Mortgage Credit Modeling

Alexander Bogin, William Doerner and William Larson

No 16-04, FHFA Staff Working Papers from Federal Housing Finance Agency

Abstract: 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.

Keywords: house prices; loan-to-value; mortgage performance; credit model (search for similar items in EconPapers)
JEL-codes: C55 G22 R30 R51 (search for similar items in EconPapers)
Pages: 25 pages
Date: 2016-09
New Economics Papers: this item is included in nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Published in the Financial Analysts Journal, 2019, volume 75, number 1, pages 32-47

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Related works:
Working Paper: Missing the Mark: House Price Index Accuracy and Mortgage Credit Modeling (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:hfa:wpaper:16-04

DOI: 10.1080/0015198X.2018.1547051

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