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Mortgage Valuation Models: Embedded Options, Risk, and Uncertainty

Author

Listed:
  • Davidson, Andrew

    (Andrew Davidson & Co., Inc.)

  • Levin, Alexander

    (Andrew Davidson & Co., Inc.)

Abstract

Mortgage Backed Securities (MBS) are among the most complex of all financial instruments. Analysis of MBS requires blending empirical analysis of borrower behavior with mathematical modeling of interest rates and home prices. Over the past 25 years, Davidson and Levin have been at the leading edge of MBS valuation and risk analysis. Mortgage Valuation Models: Embedded Options, Risk and Uncertainty is a detailed description of the sophisticated theories and advanced methods that the authors employ in real-world analysis of mortgage backed securities. Issues such as complexity, borrower options, uncertainty, and model risk play a central role in their approach to valuation of MBS. The book describes methods for modeling prepayments and defaults of borrowers. It explores closed form, backward induction and Monte Carlo valuation using the Option-Adjusted-Spread (OAS) approach, explains the origin of OAS and its relationship to model uncertainty. With reference to the classical CAPM and APT, the book advocates extending the concept of risk-neutrality to modeling home prices and borrower options, well beyond interest rates. The coverage spans the range of mortgage products from loans, TBA (to be announced) pass-through securities to subordinate tranches of subprime-mortgage securitizations and describes valuation methods for both agency and non-agency MBS including pricing new loans; Davidson and Levin put forth new approaches to prudent risk measurement, ranking, and decomposition that can help guide traders and risk managers. It reveals quantitative causes of the 2007-09 financial crisis and provides insights into the future of the US housing finance system and mortgage modeling. Despite the advances in mortgage modeling and valuation, this remains an ever-evolving field. Mortgage Valuation Models will serve as a foundation for the future development of models for mortgage-backed securities. Available in OSO: http://www.oxfordscholarship.com/oso/public/content/economicsfinance/9780199998166/toc.html

Suggested Citation

  • Davidson, Andrew & Levin, Alexander, 2014. "Mortgage Valuation Models: Embedded Options, Risk, and Uncertainty," OUP Catalogue, Oxford University Press, number 9780199998166.
    • Handle: RePEc:oxp:obooks:9780199998166
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    Citations

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    Cited by:

    1. Lautier, Jackson P. & Pozdnyakov, Vladimir & Yan, Jun, 2023. "Pricing time-to-event contingent cash flows: A discrete-time survival analysis approach," Insurance: Mathematics and Economics, Elsevier, vol. 110(C), pages 53-71.
    2. Andreas Fuster & Aurel Hizmo & Lauren Lambie-Hanson & James Vickery & Paul S. Willen, 2021. "How Resilient Is Mortgage Credit Supply? Evidence from the COVID-19 Pandemic," Working Papers 21-4, Federal Reserve Bank of Boston.
    3. 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.
    4. 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.
    5. Davidson, Andrew & Levin, Alex & Pavlov, Andrey D. & Wachter, Susan M., 2016. "Why are aggressive mortgage products bad for the housing market?," Journal of Economics and Business, Elsevier, vol. 84(C), pages 148-161.
    6. Tarun Chitra & Alex Evans, 2020. "Why Stake When You Can Borrow?," Papers 2006.11156, arXiv.org.
    7. Jan Vlachý, 2016. "Valuation of Contractual Assets Using Statistical Simulation," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 10(2), June.
    8. A. A. Tsyganov & A. D. Yazykov, 2017. "Features of restructuring mortgage loans nominated in foreign currency," Studies on Russian Economic Development, Springer, vol. 28(6), pages 658-662, November.

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