IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/22851.html
   My bibliography  Save this paper

Prepayment Risk and Expected MBS Returns

Author

Listed:
  • Peter Diep
  • Andrea L. Eisfeldt
  • Scott Richardson

Abstract

We present a simple, linear asset pricing model of the cross section of Mortgage-Backed Security (MBS) returns in which MBS earn risk premia as compensation for their exposure to prepayment risk. We measure prepayment risk and estimate security risk loadings using real data on prepayment forecasts vs. realizations. Estimated loadings are monotonic in securities' coupons relative to the par coupon, as predicted by the model. Prepayment risks appear to be priced by specialized MBS investors. In particular, we find convincing evidence that prepayment risk prices change sign over time with the sign of a representative MBS investor's exposure to prepayment risk.

Suggested Citation

  • Peter Diep & Andrea L. Eisfeldt & Scott Richardson, 2016. "Prepayment Risk and Expected MBS Returns," NBER Working Papers 22851, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:22851
    Note: AP CF EFG
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w22851.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhiguo He & Arvind Krishnamurthy, 2013. "Intermediary Asset Pricing," American Economic Review, American Economic Association, vol. 103(2), pages 732-770, April.
    2. Carlin, Bruce I. & Longstaff, Francis A. & Matoba, Kyle, 2014. "Disagreement and asset prices," Journal of Financial Economics, Elsevier, vol. 114(2), pages 226-238.
    3. James Vickery & Joshua Wright, 2013. "TBA trading and liquidity in the agency MBS market," Economic Policy Review, Federal Reserve Bank of New York, vol. 19(May), pages 1-18.
    4. Boudoukh, Jacob, et al, 1997. "Pricing Mortgage-Backed Securities in a Multifactor Interest Rate Environment: A Multivariate Density Estimation Approach," The Review of Financial Studies, Society for Financial Studies, vol. 10(2), pages 405-446.
    5. Chen, Nai-Fu & Roll, Richard & Ross, Stephen A, 1986. "Economic Forces and the Stock Market," The Journal of Business, University of Chicago Press, vol. 59(3), pages 383-403, July.
    6. Nina Boyarchenko & Andreas Fuster & David O Lucca, 2019. "Understanding Mortgage Spreads," The Review of Financial Studies, Society for Financial Studies, vol. 32(10), pages 3799-3850.
    7. Chris Downing & Richard Stanton & Nancy Wallace, 2005. "An Empirical Test of a Two-Factor Mortgage Valuation Model: How Much Do House Prices Matter?," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 33(4), pages 681-710, December.
    8. Xavier Gabaix & Arvind Krishnamurthy & Olivier Vigneron, 2007. "Limits of Arbitrage: Theory and Evidence from the Mortgage‐Backed Securities Market," Journal of Finance, American Finance Association, vol. 62(2), pages 557-595, April.
    9. Sumit Agarwal & John C. Driscoll & David I. Laibson, 2013. "Optimal Mortgage Refinancing: A Closed‐Form Solution," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(4), pages 591-622, June.
    10. repec:mcb:jmoncb:v:45:y:2013:i::p:591-622 is not listed on IDEAS
    11. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Nicola Fusari & Wei Li & Haoyang Liu & Zhaogang Song, 2022. "Asset Pricing with Cohort‐Based Trading in MBS Markets," Journal of Finance, American Finance Association, vol. 77(6), pages 3249-3287, December.
    3. Mikhail Chernov & Brett R. Dunn & Francis A. Longstaff, 2018. "Macroeconomic-Driven Prepayment Risk and the Valuation of Mortgage-Backed Securities," The Review of Financial Studies, Society for Financial Studies, vol. 31(3), pages 1132-1183.
    4. Nina Boyarchenko & Andreas Fuster & David O Lucca, 2019. "Understanding Mortgage Spreads," The Review of Financial Studies, Society for Financial Studies, vol. 32(10), pages 3799-3850.
    5. Yuriy Kitsul & Marcelo Ochoa, 2016. "Funding Liquidity Risk and the Cross-section of MBS Returns," Finance and Economics Discussion Series 2016-052, Board of Governors of the Federal Reserve System (U.S.).
    6. Nicola Fusari & Wei Li & Haoyang Liu & Zhaogang Song, 2020. "Asset Pricing with Cohort-Based Trading in MBS Markets," Staff Reports 931, Federal Reserve Bank of New York.
    7. Jiakai Chen & Haoyang Liu & Asani Sarkar & Zhaogang Song, 2020. "Dealers and the Dealer of Last Resort: Evidence from the Agency MBS Markets in the COVID-19 Crisis," Staff Reports 933, Federal Reserve Bank of New York.
    8. Aytek Malkhozov & Philippe Mueller & Andrea Vedolin & Gyuri Venter, 2016. "Mortgage Risk and the Yield Curve," The Review of Financial Studies, Society for Financial Studies, vol. 29(5), pages 1220-1253.
    9. 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.
    10. Tyler Muir & Erkko Etula & Tobias Adrian, 2011. "Broker-Dealer Leverage and the Cross-Section of Stock Returns," 2011 Meeting Papers 1448, Society for Economic Dynamics.
    11. Wang, Baolian, 2019. "The cash conversion cycle spread," Journal of Financial Economics, Elsevier, vol. 133(2), pages 472-497.
    12. Hui Chen & Michael Michaux & Nikolai Roussanov, 2020. "Houses as ATMs: Mortgage Refinancing and Macroeconomic Uncertainty," Journal of Finance, American Finance Association, vol. 75(1), pages 323-375, February.
    13. Sadka, Ronnie, 2006. "Momentum and post-earnings-announcement drift anomalies: The role of liquidity risk," Journal of Financial Economics, Elsevier, vol. 80(2), pages 309-349, May.
    14. Aytek Malkhozov & Philippe Mueller & Andrea Vedolin & Gyuri Venter, 2013. "Mortgage Hedging in Fixed Income Markets," FMG Discussion Papers dp722, Financial Markets Group.
    15. Keunbae Ahn, 2021. "Predictable Fluctuations in the Cross-Section and Time-Series of Asset Prices," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2021, March.
    16. Zhiguo He & Arvind Krishnamurthy, 2018. "Intermediary Asset Pricing and the Financial Crisis," Annual Review of Financial Economics, Annual Reviews, vol. 10(1), pages 173-197, November.
    17. Daniel Barth & Phillip Monin, 2020. "Illiquidity in Intermediate Portfolios: Evidence from Large Hedge Funds," Working Papers 20-03, Office of Financial Research, US Department of the Treasury.
    18. Petros Messis & Antonis Alexandridis & Achilleas Zapranis, 2021. "Testing and comparing conditional risk‐return relationship with a new approach in the cross‐sectional framework," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 218-240, January.
    19. Gospodinov, Nikolay & Robotti, Cesare, 2021. "Common pricing across asset classes: Empirical evidence revisited," Journal of Financial Economics, Elsevier, vol. 140(1), pages 292-324.
    20. Arvind Krishnamurthy & Annette Vissing-Jorgensen, 2013. "The ins and outs of LSAPs," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City.

    More about this item

    JEL classification:

    • E02 - Macroeconomics and Monetary Economics - - General - - - Institutions and the Macroeconomy
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G2 - Financial Economics - - Financial Institutions and Services

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:22851. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.