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The effect of automated underwriting on the profitability of mortgage securitization

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  • Wayne Passmore
  • Roger Sparks
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    Abstract

    Over the past two years, many mortgage market analysts have praised automated underwriting as a technological innovation that will lower the costs of processing mortgage applications. However, automated underwriting is unlikely to decrease processing costs uniformly for all mortgage applications. Instead, it makes identifying and processing low-risk mortgage borrowers less costly, but may not significantly lower the costs of identifying and processing relatively high-risk applicants. Our results suggest that after the one-time cost reduction produced by automated underwriting, the resulting mortgage market equilibrium is characterized by lower mortgage rates and lower profits for the mortgage securitizer.

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    File URL: http://www.federalreserve.gov/pubs/feds/1997/199719/199719abs.html
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    File URL: http://www.federalreserve.gov/pubs/feds/1997/199719/199719pap.pdf
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    Bibliographic Info

    Paper provided by Board of Governors of the Federal Reserve System (U.S.) in its series Finance and Economics Discussion Series with number 1997-19.

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    Date of creation: 1997
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    Handle: RePEc:fip:fedgfe:1997-19

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    Related research

    Keywords: Mortgages ; Asset-backed financing;

    References

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    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    1. Quigley, John M., 1993. "Explicit Tests of Contingent Claims Models of Mortgage Defaults," Department of Economics, Working Paper Series qt3df5357v, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    2. Patric H. Hendershott & James D. Shilling, 1988. "The Impact of the Agencies on Conventional Fixed-Rate Mortgage Yields," NBER Working Papers 2646, National Bureau of Economic Research, Inc.
    3. Passmore, Wayne & Sparks, Roger, 1996. "Putting the Squeeze on a Market for Lemons: Government-Sponsored Mortgage Securitization," The Journal of Real Estate Finance and Economics, Springer, vol. 13(1), pages 27-43, July.
    4. William H. Greene, 1992. "A Statistical Model for Credit Scoring," Working Papers 92-29, New York University, Leonard N. Stern School of Business, Department of Economics.
    5. Glenn B. Canner & Wayne Passmore & Brian J. Surette, 1996. "Distribution of credit risk among providers of mortgages to lower- income and minority homebuyers," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), issue Dec, pages 1077-1102.
    6. Yongheng Deng & John M. Quigley & Robert Van Order, 1995. "Mortgage Default and Low Downpayment Loans: The Costs of Public Subsidy," NBER Working Papers 5184, National Bureau of Economic Research, Inc.
    7. Kerry D. Vandell, 1993. "Handing Over the Keys: A Perspective on Mortgage Default Research," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 21(3), pages 211-246.
    8. John L. Goodman, Jr. & S. Wayne Passmore, 1992. "Market power and the pricing of mortgage securitization," Finance and Economics Discussion Series 187, Board of Governors of the Federal Reserve System (U.S.).
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