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Implied mortgage refinancing thresholds

Author

Listed:
  • Paul Bennett
  • Richard Peach
  • Stavros Peristiani

Abstract

The optimal prepayment model asserts that rational homeowners would refinance if they can reduce the current value of their liabilities by an amount greater than the refinancing threshold, defined as the cost of carrying the transaction plus the time value of the embedded call option. To compute the notional value of the refinancing threshold, researchs have traditionally relied on a discrete option-pricing model. Using a unique loan level dataset that links homeowner attributes with property and loan characteristics, this study proposes an alternative approach of estimating the implied value of the refinancing threshold. This empirical method enables us to measure the minimum interest rate differential needed to justify refinancing conditional on the borrower's creditworthiness, remaining maturity, and other observable characteristics.

Suggested Citation

  • Paul Bennett & Richard Peach & Stavros Peristiani, 1998. "Implied mortgage refinancing thresholds," Staff Reports 49, Federal Reserve Bank of New York.
    • Handle: RePEc:fip:fednsr:49
    Note: For a published version of this report, see Paul Bennett, Richard Peach, and Stavros Peristiani, "Implied Mortgage Refinancing Thresholds," Real Estate Economics28, no.3 (fall 2000): 405-34.
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. Sumit Agarwal & Brent W. Ambrose & Souphala Chomsisengphet & Chunlin Liu, 2011. "The Role of Soft Information in a Dynamic Contract Setting: Evidence from the Home Equity Credit Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(4), pages 633-655, June.
    4. Lu Fang, 2020. "Mortgage Pricing Implications of Prepayment: Separating Pecuniary and Non-pecuniary Prepayment," The Journal of Real Estate Finance and Economics, Springer, vol. 60(3), pages 239-269, April.
    5. Marsha J. Courchane & Judith A. Giles, 2002. "A Comparison of U.S. and Canadian Residential Mortgage Markets," Econometrics Working Papers 0201, Department of Economics, University of Victoria.
    6. Neil Bhutta & Benjamin J. Keys, 2016. "Interest Rates and Equity Extraction during the Housing Boom," American Economic Review, American Economic Association, vol. 106(7), pages 1742-1774, July.
    7. Souphala Chomsisengphet & Anthony Pennington-Cross, 2006. "Subprime refinancing: equity extraction and mortgage termination," Working Papers 2006-023, Federal Reserve Bank of St. Louis.
    8. Agarwal, Sumit & Driscoll, John D. & Laibson, David I., 2012. "Optimal Mortgage Reï¬ nancing: A Closed Form Solution," Scholarly Articles 9918811, Harvard University Department of Economics.
    9. Amy Cutts & Robert Order, 2004. "On the Economics of Subprime Lending," The Journal of Real Estate Finance and Economics, Springer, vol. 30(2), pages 167-196, November.
    10. Sumit Agarwal & Richard J. Rosen & Vincent Yao, 2016. "Why Do Borrowers Make Mortgage Refinancing Mistakes?," Management Science, INFORMS, vol. 62(12), pages 3494-3509, December.

    More about this item

    Keywords

    Interest rates; Mortgages;

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

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