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Macroeconomic-Driven Prepayment Risk and the Valuation of Mortgage-Backed Securities

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  • Mikhail Chernov
  • Brett R. Dunn
  • Francis A. Longstaff

Abstract

We introduce a reduced-form modeling framework for mortgage-backed securities in which we solve for the implied prepayment function from the cross section of market prices. From the implied prepayment function, we find that prepayment rates are driven not only by interest rates, but also by two macroeconomic factors: turnover and rate response. Intuitively, turnover represents prepayments for exogenous reasons like employment-related moves, household income shocks, and foreclosures, while rate response reflects frictions faced by borrowers in refinancing into a lower rate. We find that the empirical turnover and rate response measures are both significantly related to macroeconomic measures, suggesting that these factors represent a source of systematic risk. Consistent with this, we find that implied prepayments are substantially higher than actual prepayments, providing direct evidence of significant prepayment risk premia in mortgage-backed security prices. We analyze the properties of the prepayment risk premium and find that it is almost entirely due to compensation for turnover risk. We also find evidence that mortgage-backed security prices were significantly affected by Fannie Mae credit risk and the Federal Reserve's Quantitative Easing Programs.

Suggested Citation

  • Mikhail Chernov & Brett R. Dunn & Francis A. Longstaff, 2016. "Macroeconomic-Driven Prepayment Risk and the Valuation of Mortgage-Backed Securities," NBER Working Papers 22096, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:22096
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    Cited by:

    1. Matteo Bissiri & Riccardo Cogo, 2017. "Behavioral Value Adjustments," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(08), pages 1-37, December.
    2. Sá, Ana Isabel, 2020. "To change or not to change: the impact of the law on mortgage origination," MPRA Paper 104818, University Library of Munich, Germany.
    3. Andreas Fuster & David Lucca & James Vickery, 2023. "Mortgage-backed securities," Chapters, in: Refet S. Gürkaynak & Jonathan H. Wright (ed.), Research Handbook of Financial Markets, chapter 15, pages 331-357, Edward Elgar Publishing.
    4. Wayne Passmore & Alexander H. von Hafften, 2018. "Financing Affordable and Sustainable Homeownership with Fixed-COFI Mortgages," Finance and Economics Discussion Series 2018-009, Board of Governors of the Federal Reserve System (U.S.).
    5. Luong, Thi Mai & Scheule, Harald, 2022. "Benchmarking forecast approaches for mortgage credit risk for forward periods," European Journal of Operational Research, Elsevier, vol. 299(2), pages 750-767.
    6. Shi, Tianxiang & Lee, Yung-Tsung, 2021. "Prepayment risk in reverse mortgages: An intensity-governed surrender model," Insurance: Mathematics and Economics, Elsevier, vol. 98(C), pages 68-82.
    7. Peter Diep & Andrea L. Eisfeldt & Scott Richardson, 2021. "The Cross Section of MBS Returns," Journal of Finance, American Finance Association, vol. 76(5), pages 2093-2151, October.
    8. Justin Sirignano & Apaar Sadhwani & Kay Giesecke, 2016. "Deep Learning for Mortgage Risk," Papers 1607.02470, arXiv.org, revised Mar 2018.
    9. Haoyang Liu & Zhaogang Song & James Vickery, 2021. "Defragmenting Markets: Evidence from Agency MBS," Working Papers 21-25, Federal Reserve Bank of Philadelphia.
    10. Passmore, Stuart Wayne & von Hafften, Alexander H., 2020. "Financing affordable and sustainable homeownership with Fixed-COFI mortgages," Regional Science and Urban Economics, Elsevier, vol. 80(C).
    11. Wayne Passmore & Alexander H. von Hafften, 2017. "Improving the 30-Year Fixed-Rate Mortgage," Finance and Economics Discussion Series 2017-090, Board of Governors of the Federal Reserve System (U.S.).
    12. Thi Mai Luong, 2020. "Selection Effects of Lender and Borrower Choices on Risk Measurement, Management and Prudential Regulation," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 3-2020.
    13. Chuang-Chang Chang & Hsiao-Wei Ho & Henry Hongren Huang & Yildiray Yildirim, 2024. "A reduced-form model for lease contract valuation with embedded options," Review of Quantitative Finance and Accounting, Springer, vol. 62(2), pages 841-864, February.

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    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

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