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Optimal Put Exercise: An Empirical Examination of Conditions for Mortgage Foreclosure


Brent W. Ambrose


Pennsylvania State University

Yongheng Deng


National University of Singapore (NUS) - Institute of Real Estate Studies; National University of Singapore

Charles A. Capone Jr.


U.S. Department of Housing and Urban Development


Journal of Real Estate Finance & Economics, Forthcoming

Abstract:     
Implicit in option-pricing models of mortgage valuation are threshold levels of put-option value that must be crossed to induce borrower default. There has been little research into what these threshold values are that come out of pricing models, or how they compare to exercised option values seen in empirical data. This study decomposes boundary conditions for optimal default exercise to look at the economic dynamics that should lead to optimal default timing. Empirical data on FHA insured mortgage foreclosures is then examined to discern the predictive influence of optimal-option-valuation-and-exercise variables on observed default timing and values. Interesting results include a new understanding of how to measure and use property equity variables during economic downturns, house price index ranges over which default is exercised for various classes of borrowers, and implied differences in appreciation rates between market price indices and foreclosed properties.

Keywords: mortgage default, loss severity, foreclosure

Accepted Paper Series


Date posted: June 15, 2002  

Suggested Citation

Ambrose, Brent W., Deng, Yongheng and Capone, Charles A., Optimal Put Exercise: An Empirical Examination of Conditions for Mortgage Foreclosure. Journal of Real Estate Finance & Economics, Forthcoming. Available at SSRN: http://ssrn.com/abstract=302389

Contact Information

Brent W. Ambrose
Pennsylvania State University ( email )
University Park, PA 16802-3306
United States
814-867-0066 (Phone)
814-865-6284 (Fax)
Yongheng Deng
National University of Singapore (NUS) - Institute of Real Estate Studies ( email )
Singapore
National University of Singapore ( email )
Institute of Real Estate Studies
21 Heng Mui KengTerrace, #04-02
Singapore, 119613
Singapore
(65) 6516 8291 (Phone)
(65) 6774 1003 (Fax)
HOME PAGE: http://www.ires.nus.edu.sg
Charles A. Capone Jr. (Contact Author)
U.S. Department of Housing and Urban Development ( email )
United States
Feedback to SSRN (Beta)


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