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Prepayment Risk and Expected MBS Returns

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  • 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
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    1. Zhiguo He & Arvind Krishnamurthy, 2013. "Intermediary Asset Pricing," American Economic Review, American Economic Association, vol. 103(2), pages 732-770, April.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Carlin, Bruce I. & Longstaff, Francis A. & Matoba, Kyle, 2014. "Disagreement and asset prices," Journal of Financial Economics, Elsevier, vol. 114(2), pages 226-238.
    9. 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.
    10. 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.
    11. repec:mcb:jmoncb:v:45:y:2013:i::p:591-622 is not listed on IDEAS
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    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

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