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Option-Based Prediction of Commercial Mortgage Defaults

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Abstract

Underwriters set loan-to-value ratios and loan contract interest rates of uninsured commercial mortgages to anticipate the likelihood of subsequent default. The results of the use of a modified Black-Scholes option model suggest that loan-to-value ratios are bound from below by borrowers' desires to maximize project leverage in a limited liability setting and constrained from above by lenders' requirement to originate loans with institutional-grade (Baa) contract interest rates. Given the prevailing risk-free rate and the investment-grade rate, this model at the time of mortgage origination predicts the possibility of default for a new commercial mortgage. The model is empirically verified with ACLI data for 1968-89.

Suggested Citation

  • Leon G. Shilton & John Teall, 1994. "Option-Based Prediction of Commercial Mortgage Defaults," Journal of Real Estate Research, American Real Estate Society, vol. 9(2), pages 219-236.
    • Handle: RePEc:jre:issued:v:9:n:2:1994:p:219-236
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    1. James L. Kuhle & Carl H. Walther & Charles H. Wurtzebach, 1986. "The Financial Performance of Real Estate Investment Trusts," Journal of Real Estate Research, American Real Estate Society, vol. 1(1), pages 67-75.
    2. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    3. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    4. Kerry D. Vandell, 1992. "Predicting Commercial Mortgage Foreclosure Experience," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 20(1), pages 55-88, March.
    5. James R. Webb & Jack H. Rubens, 1986. "Portfolio Considerations in the Valuation of Real Estate," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 14(3), pages 465-495, September.
    6. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    7. Michael J. Brennan & Eduardo S. Schwartz, 1985. "Determinants of GNMA Mortgage Prices," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 13(3), pages 209-228, September.
    8. Kaplan, Robert S & Urwitz, Gabriel, 1979. "Statistical Models of Bond Ratings: A Methodological Inquiry," The Journal of Business, University of Chicago Press, vol. 52(2), pages 231-261, April.
    9. Leon G. Shilton & James R. Webb, 1989. "Commercial Loan Underwriting and Option Valuation," Journal of Real Estate Research, American Real Estate Society, vol. 4(1), pages 1-12.
    10. repec:bla:jfinan:v:44:y:1989:i:2:p:345-73 is not listed on IDEAS
    11. Ronn, Ehud I & Verma, Avinash K, 1986. "Pricing Risk-Adjusted Deposit Insurance: An Option-Based Model," Journal of Finance, American Finance Association, vol. 41(4), pages 871-895, September.
    12. Frydman, Halina & Altman, Edward I & Kao, Duen-Li, 1985. "Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress," Journal of Finance, American Finance Association, vol. 40(1), pages 269-291, March.
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    Cited by:

    1. Leon Shilton, 2000. "Random Walks and the Cointegration of the ACLI and NCREIF," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 28(3), pages 435-465.

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

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