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Risk-Based Pricing of High Loan-To-Value Mortgage

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  • Wang, Fan

Abstract

High loan-to-value (LTV) mortgage are residential mortgage loans with LTV ratio greater or equal to 90\%. Lenders are increasingly engaged in risk-based pricing. If properly quantified, the additional credit risk taken when originating high LTV mortgage can be compensated by higher interest rate charged to customers. High LTV mortgage is regulated to meet higher capital requirement and thus have higher funding cost. Current regulation raises regulatory capital requirement of banks on all high LTV mortgage holdings. However, it is not efficient to differentiate the risk between a high LTV first mortgage and a second lien mortgage with the same LTV. In the paper, I show how LTV ratio affects credit risk in mortgage. A structured credit modeling approach is taken to quantify the credit risk of first mortgage and second mortgage. The total risk in a combination of first and second mortgage is shown to be equal to that of a first mortgage with the same aggregate LTV. Default risk is derived implicitly. Optionality of defaultable debt results in an upward sloping credit supply curve in terms of a function of interest rate with respect to LTV. Current regulation in high LTV mortgage creates a funding advantage in seperating a high LTV mortgage into a lower funding cost first mortgage and a higher cost second mortgage.

Suggested Citation

  • Wang, Fan, 2007. "Risk-Based Pricing of High Loan-To-Value Mortgage," MPRA Paper 4788, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:4788
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    File URL: https://mpra.ub.uni-muenchen.de/4788/1/MPRA_paper_4788.pdf
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    References listed on IDEAS

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    1. Marsha J. Courchane & Brian J. Surette & Peter M. Zorn, 2004. "Subprime Borrowers: Mortgage Transitions and Outcomes," The Journal of Real Estate Finance and Economics, Springer, vol. 29(4), pages 365-392, December.
    2. Geske, Robert, 1979. "The valuation of compound options," Journal of Financial Economics, Elsevier, vol. 7(1), pages 63-81, March.
    3. Wendy Edelberg, 2003. "Risk-based pricing of interest rates in household loan markets," Finance and Economics Discussion Series 2003-62, Board of Governors of the Federal Reserve System (U.S.).
    4. 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.
    5. Cowan, Adrian M. & Cowan, Charles D., 2004. "Default correlation: An empirical investigation of a subprime lender," Journal of Banking & Finance, Elsevier, vol. 28(4), pages 753-771, April.
    6. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    7. Brueckner, Jan K, 2000. "Mortgage Default with Asymmetric Information," The Journal of Real Estate Finance and Economics, Springer, vol. 20(3), pages 251-274, May.
    8. Yongheng Deng & John M. Quigley & Robert Van Order, 2000. "Mortgage Terminations, Heterogeneity and the Exercise of Mortgage Options," Econometrica, Econometric Society, vol. 68(2), pages 275-308, March.
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    More about this item

    Keywords

    mortgage lending; risk-based pricing; credit risk; regulatory capital;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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