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Home equity conversion mortgages: The secondary market investor experience

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  • Begley, Jaclene
  • Fout, Hamilton
  • LaCour-Little, Michael
  • Mota, Nuno

Abstract

Reverse mortgages are accrual notes of indeterminate maturity secured by home equity. In this paper, we analyze Fannie Mae's experience with the Home Equity Conversion Mortgage, the FHA-insured, non-recourse version of this product. Using loan and borrower characteristics, we model a number of relationships, including loss severity. We also show how the addition of credit information affects our models. Finally, we use credit data to conduct a policy experiment which illustrates how better screening might have affected portfolio performance. We find that imposing a minimum borrower credit score of 620 would have reduced originated volume by 23% and economic losses by 32%.

Suggested Citation

  • Begley, Jaclene & Fout, Hamilton & LaCour-Little, Michael & Mota, Nuno, 2020. "Home equity conversion mortgages: The secondary market investor experience," Journal of Housing Economics, Elsevier, vol. 47(C).
    • Handle: RePEc:eee:jhouse:v:47:y:2020:i:c:s1051137717302619
    DOI: 10.1016/j.jhe.2019.03.001
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    References listed on IDEAS

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    1. Hui Shan, 2011. "Reversing the Trend: The Recent Expansion of the Reverse Mortgage Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 39(4), pages 743-768, December.
    2. Thomas P. Boehm & Michael C. Ehrhardt, 1994. "Reverse Mortgages and Interest Rate Risk," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 22(2), pages 387-408, June.
    3. Alicia H. Munnell & Steven A. Sass, 2014. "The Government’s Redesigned Reverse Mortgage Program," Issues in Brief ib2014-1, Center for Retirement Research.
    4. Moulton, Stephanie & Haurin, Donald R. & Shi, Wei, 2015. "An analysis of default risk in the Home Equity Conversion Mortgage (HECM) program," Journal of Urban Economics, Elsevier, vol. 90(C), pages 17-34.
    5. Edward J. Szymanoski, 1994. "Risk and the Home Equity Conversion Mortgage," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 22(2), pages 347-366, June.
    6. Begley, Jaclene & Chan, Sewin, 2018. "The effect of housing wealth shocks on work and retirement decisions," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 180-195.
    7. Jaclene Begley & Lauren Lambie-Hanson, 2015. "The Home Maintenance and Improvement Behaviors of Older Adults in Boston," Housing Policy Debate, Taylor & Francis Journals, vol. 25(4), pages 754-781, October.
    8. Thomas Davidoff & Gerd M. Welke, 2017. "The Role of Appreciation and Borrower Characteristics in Reverse Mortgage Terminations," Journal of Real Estate Research, American Real Estate Society, vol. 39(1), pages 99-126.
    9. Brent C Smith & Kenneth N. Daniels, 2018. "Unintended Consequences of Risk Based Pricing: Racial Differences in Mortgage Costs," Journal of Financial Services Research, Springer;Western Finance Association, vol. 54(3), pages 323-343, December.
    10. Marsha J. Courchane & Leonard C. Kiefer & Peter M. Zorn, 2015. "A Tale of Two Tensions: Balancing Access to Credit and Credit Risk in Mortgage Underwriting," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(4), pages 993-1034, November.
    11. David T. Rodda & Ken Lam & Andrew Youn, 2004. "Stochastic Modeling of Federal Housing Administration Home Equity Conversion Mortgages with Low‐Cost Refinancing," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 32(4), pages 589-617, December.
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    Cited by:

    1. David M. Goldberg & Nohel Zaman & Arin Brahma & Mariano Aloiso, 2022. "Are mortgage loan closing delay risks predictable? A predictive analysis using text mining on discussion threads," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(3), pages 419-437, March.
    2. Jason R. Blevins & Wei Shi & Donald R. Haurin & Stephanie Moulton, 2020. "A Dynamic Discrete Choice Model Of Reverse Mortgage Borrower Behavior," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(4), pages 1437-1477, November.

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    More about this item

    Keywords

    Reverse mortgage; Seniors; Life-cycle consumption smoothing;
    All these keywords.

    JEL classification:

    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • D15 - Microeconomics - - Household Behavior - - - Intertemporal Household Choice; Life Cycle Models and Saving

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