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Incorporating Collateral Value Uncertainty in Loss Given Default Estimates and Loan-to-value Ratios

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  • Esa Jokivuolle
  • Samu Peura
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    Abstract

    We present a model of risky debt in which collateral value is correlated with the possibility of default. The model is then used to study the expected loss given default, primarily as a function of collateral. The results obtained could prove useful for estimating losses given default in many popular models of credit risk which assume them constant. We also examine the problem of determining sufficient collateral to secure a loan to a desired extent. In addition to bank practitioners, regulators might find our analysis useful in reviewing banks' lending standards relative to current collateral values. In particular, the current proposals for The New (Basel) Capital Accord involve options for the use of banks' own loss given default estimates which might benefit from the analysis in this paper. Copyright Blackwell Publishing Ltd 2003.

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    Bibliographic Info

    Article provided by European Financial Management Association in its journal European Financial Management.

    Volume (Year): 9 (2003)
    Issue (Month): 3 ()
    Pages: 299-314

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    Handle: RePEc:bla:eufman:v:9:y:2003:i:3:p:299-314

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    Cited by:
    1. Winsen, Joseph K., 2010. "An overview of project finance binomial loan valuation," Review of Financial Economics, Elsevier, vol. 19(2), pages 84-89, April.
    2. Juan, He & Xianglin, Jiang & Jian, Wang & Daoli, Zhu & Lei, Zhen, 2012. "VaR methods for the dynamic impawn rate of steel in inventory financing under autocorrelative return," European Journal of Operational Research, Elsevier, vol. 223(1), pages 106-115.
    3. Craigwell, Roland C & Elliott, Wayne A, 2011. "Loan loss provisioning in the commercial banking system of Barbados: practices and determinants," MPRA Paper 33426, University Library of Munich, Germany.
    4. Michael Jacobs, Jr, 2011. "An option theoretic model for ultimate loss-given-default with systematic recovery risk and stochastic returns on defaulted debt," BIS Papers chapters, in: Bank for International Settlements (ed.), Portfolio and risk management for central banks and sovereign wealth funds, volume 58, pages 257-285 Bank for International Settlements.
    5. Tao Peng, 2010. "Portfolio Credit Risk Modelling and CDO Pricing - Analytics and Implied Trees from CDO Tranches," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 8.
    6. Tsai, Ming-Shann & Liao, Szu-Lang & Chiang, Shu-Ling, 2009. "Analyzing yield, duration and convexity of mortgage loans under prepayment and default risks," Journal of Housing Economics, Elsevier, vol. 18(2), pages 92-103, June.
    7. Han, Chulwoo & Jang, Youngmin, 2013. "Effects of debt collection practices on loss given default," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 21-31.
    8. Hui, C.H. & Lo, C.F. & Wong, T.C. & Man, P.K., 2006. "Measuring provisions for collateralised retail lending," Journal of Economics and Business, Elsevier, vol. 58(4), pages 343-361.
    9. Yuki Itoh, 2008. "Recovery Process Model," Asia-Pacific Financial Markets, Springer, vol. 15(3), pages 307-347, December.
    10. Hong Kong Monetary Authority, 2008. "The housing market channel of the monetary transmission mechanism in Hong Kong," BIS Papers chapters, in: Bank for International Settlements (ed.), Transmission mechanisms for monetary policy in emerging market economies, volume 35, pages 221-234 Bank for International Settlements.
    11. Stefan Hlawatsch & Sebastian Ostrowski, 2010. "Simulation and Estimation of Loss Given Default," FEMM Working Papers 100010, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    12. Niinimäki, Juha-Pekka, 2010. "Moral hazard in the credit market when the collateral value is stochastic," Research Discussion Papers 22/2010, Bank of Finland.

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