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Efficient Mortgage Default Option Exercise: Evidence from Loss Severity

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Abstract

This paper extends options-based mortgage default theory to include transaction costs. When transaction costs are considered, the rational borrower will default only when the value of the collateral falls below the mortage value by an amount equal to the net transaction costs. Since, for most borrowers, net transaction costs are positive, standard measures of equity may be significantly negative by the time the rational borrower exercises the default option. This research shows theoretically and empirically the effects of frictions on the individual strike price. The addition of transaction costs to the theory provides several testable implications for equity loss severity. First, the longer the foreclosure process and the period of free rent to the borrower, the lower the severity. Second, severity will be smaller when bankruptcy has been declared. Third, severity is decreasing in the contract decreasing function of the probability of a deficiency judgment. The empirical results, using servicing and foreclosure data from a large northeastern thrift, support the theoretical model.

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  • Gordon W. Crawford & Eric Rosenblatt, 1995. "Efficient Mortgage Default Option Exercise: Evidence from Loss Severity," Journal of Real Estate Research, American Real Estate Society, vol. 10(5), pages 543-556.
  • Handle: RePEc:jre:issued:v:10:n:5:1995:p:543-556
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    1. Kerry D. Vandell, 1994. "How Ruthless is Mortgage Default? Prepared under contract with Fannie Mae," Wisconsin-Madison CULER working papers 94-04, University of Wisconsin Center for Urban Land Economic Research.
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    Cited by:

    1. W. Miles, 2008. "Boom–Bust Cycles and the Forecasting Performance of Linear and Non-Linear Models of House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 36(3), pages 249-264, April.
    2. Charles Rahal, 2015. "Housing Market Forecasting with Factor Combinations," Discussion Papers 15-05, Department of Economics, University of Birmingham.
    3. Dennis Capozza & Thomas Thomson, 2004. "Optimal Stopping and Losses on Subprime Mortgages," The Journal of Real Estate Finance and Economics, Springer, vol. 30(2), pages 115-131, November.
    4. Patrick Bajari & Chenghuan Sean Chu & Minjung Park, 2008. "An Empirical Model of Subprime Mortgage Default From 2000 to 2007," NBER Working Papers 14625, National Bureau of Economic Research, Inc.
    5. Lei Ding & Roberto G. Quercia & Janneke Ratcliffe, 2008. "Post-purchase Counseling and Default Resolutions among Low- and Moderate-Income Borrowers," Journal of Real Estate Research, American Real Estate Society, vol. 30(3), pages 315-344.
    6. Anthony Pennington-Cross, 2006. "The Value of Foreclosed Property," Journal of Real Estate Research, American Real Estate Society, vol. 28(2), pages 193-214.
    7. James F. Gatti & Ronald W. Spahr, 1997. "The Value of Federal Sponsorship: The Case of Freddie Mac," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 25(3), pages 453-485, September.
    8. Do, Hung Xuan & Rösch, Daniel & Scheule, Harald, 2018. "Predicting loss severities for residential mortgage loans: A three-step selection approach," European Journal of Operational Research, Elsevier, vol. 270(1), pages 246-259.
    9. Yuan Cheng & Xuehui Han, 2013. "Does large volatility help?—stochastic population forecasting technology in explaining real estate price process," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(1), pages 323-356, January.
    10. Qi, Min & Yang, Xiaolong, 2009. "Loss given default of high loan-to-value residential mortgages," Journal of Banking & Finance, Elsevier, vol. 33(5), pages 788-799, May.
    11. Linlin Zhao & Jasper Mbachu & Zhansheng Liu, 2019. "Exploring the Trend of New Zealand Housing Prices to Support Sustainable Development," Sustainability, MDPI, vol. 11(9), pages 1-18, April.
    12. William Miles, 2011. "Long-Range Dependence in U.S. Home Price Volatility," The Journal of Real Estate Finance and Economics, Springer, vol. 42(3), pages 329-347, April.
    13. Andrew Linn & Ronan C. Lyons, 2020. "Three Triggers? Negative Equity, Income Shocks and Institutions as Determinants of Mortgage Default," The Journal of Real Estate Finance and Economics, Springer, vol. 61(4), pages 549-575, November.
    14. Anthony Pennington-Cross, 2004. "The Value of Foreclosed Property – House Prices, Foreclosure Laws, and Appraisals," FHFA Staff Working Papers 04-01, Federal Housing Finance Agency.
    15. Danny Ben-Shahar, 2008. "Default, Credit Scoring, and Loan-to-Value: a Theoretical Analysis under Competitive and Non-Competitive Mortgage Markets," Journal of Real Estate Research, American Real Estate Society, vol. 30(2), pages 161-190.
    16. Chen L. Miller, 2018. "Comparison of Two Affordable Housing Finance Channels," International Real Estate Review, Global Social Science Institute, vol. 21(2), pages 227-250.
    17. Yanan Zhang & Lu Ji & Fei Liu, 2010. "Local Housing Market Cycle and Loss Given Default: Evidence from Sub-Prime Residential Mortgages," IMF Working Papers 2010/167, International Monetary Fund.
    18. Andrew Linn & Ronan C Lyons, 2018. "The Triple Trigger? Negative Equity, Income Shocks and Institutions as Determinants of Mortgage Default," Trinity Economics Papers tep0718, Trinity College Dublin, Department of Economics.
    19. Anthony Pennington-Cross, 2003. "Subprime and Prime Mortgages – Loss Distributions," FHFA Staff Working Papers 03-01, Federal Housing Finance Agency.
    20. Jian Chen & Jin Xiang & Tyler T. Yang, 2018. "Re-Default Risk of Modified Mortgages," International Real Estate Review, Global Social Science Institute, vol. 21(1), pages 1-40.
    21. Andrew Caplin & John Leahy, 2010. "Economic Theory and the World of Practice: A Celebration of the ( S , s ) Model," Journal of Economic Perspectives, American Economic Association, vol. 24(1), pages 183-202, Winter.

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    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

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