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GSE Funding Advantages and Mortgagor Benefits: Answers from Asset Pricing

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Abstract

We take an asset pricing approach to model the funding advantage of Government Sponsored Enterprises (GSEs) such as Fannie Mae and Freddie Mac. In order to replicate some stylized facts, we extend a referenced model to incorporate defaultability of mortgage agencies. The model implies that the direct effect from having a government guarantee results in a funding advantage of 21 bp. This indicates that the funding advantage of 40 bps estimated in the literature may be a bad proxy for the dollar value of the liability to the government. For a GSE, which explicitly takes a guarantee into account, the funding advantage is passed through to mortgagors. If not, as much as 75% of the funding advantage is retained by the GSE. We relate this to empirical findings in the earlier literature. Finally, we discuss and illustrate how a government guarantee in itself can induce a stabilized mortgage market.

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  • Willemann, Søren, 2005. "GSE Funding Advantages and Mortgagor Benefits: Answers from Asset Pricing," Finance Research Group Working Papers F-2005-04, University of Aarhus, Aarhus School of Business, Department of Business Studies.
  • Handle: RePEc:hhb:aarbfi:2005-04
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    References listed on IDEAS

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    1. Passmore, Wayne & Sparks, Roger & Ingpen, Jamie, 2002. "GSEs, Mortgage Rates, and the Long-Run Effects of Mortgage Securitization," The Journal of Real Estate Finance and Economics, Springer, vol. 25(2-3), pages 215-242, Sept.-Dec.
    2. Wayne Passmore, 2003. "The GSE implicit subsidy and value of government ambiguity," Finance and Economics Discussion Series 2003-64, Board of Governors of the Federal Reserve System (U.S.).
    3. W. Scott Frame & Lawrence J. White, 2005. "Fussing and Fuming over Fannie and Freddie: How Much Smoke, How Much Fire?," Journal of Economic Perspectives, American Economic Association, vol. 19(2), pages 159-184, Spring.
    4. John C. Cox & Jonathan E. Ingersoll Jr. & Stephen A. Ross, 2005. "A Theory Of The Term Structure Of Interest Rates," World Scientific Book Chapters, in: Sudipto Bhattacharya & George M Constantinides (ed.), Theory Of Valuation, chapter 5, pages 129-164, World Scientific Publishing Co. Pte. Ltd..
    5. Bostic, Raphael W & Surette, Brian J, 2001. "Have the Doors Opened Wider? Trends in Homeownership Rates by Race and Income," The Journal of Real Estate Finance and Economics, Springer, vol. 23(3), pages 411-434, November.
    6. Kau, James B, et al, 1992. "A Generalized Valuation Model for Fixed-Rate Residential Mortgages," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 24(3), pages 279-299, August.
    7. Dennis R. Capozza & Dick Kazarian & Thomas A. Thomson, 1998. "The Conditional Probability of Mortgage Default," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 26(3), pages 259-289, September.
    8. Schwartz, Eduardo S & Torous, Walter N, 1992. "Prepayment, Default, and the Valuation of Mortgage Pass-through Securities," The Journal of Business, University of Chicago Press, vol. 65(2), pages 221-239, April.
    9. repec:bla:jfinan:v:44:y:1989:i:2:p:345-73 is not listed on IDEAS
    10. Dwight Jaffee, 2003. "The Interest Rate Risk of Fannie Mae and Freddie Mac," Journal of Financial Services Research, Springer;Western Finance Association, vol. 24(1), pages 5-29, August.
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    Cited by:

    1. Peter Løchte Jørgensen & Domenico De Giovanni, 2010. "Time Charters with Purchase Options in Shipping: Valuation and Risk Management," Applied Mathematical Finance, Taylor & Francis Journals, vol. 17(5), pages 399-430.
    2. Høg, Esben, 2008. "Volatility and realized quadratic variation of differenced returns : A wavelet method approach," Finance Research Group Working Papers F-2008-06, University of Aarhus, Aarhus School of Business, Department of Business Studies.

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