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Valuation Of Defaultable Claims – A Survey

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  • Marliese Uhrig-Homburg

Abstract

The literature on default-claim pricing falls into three categories. Building on the classical Merton model, the structural approach models the dynamics of the asset value and assumes that default is triggered when the equity value reaches an exogenous asset level. In a second class of structural models, the firm itself derives a default boundary endogenously. Finally, in the reduced-form approach default occurs according to an exogenous hazard rate process. In this paper I survey the default-claim literature. I provide a general valuation framework for default-claim pricing. I then give an example designed to clarify the main difference between the structural and the reduced-form approach. For each model category I show how current pricing models fit into my general framework, describe the applicable papers in some detail, and discuss related extensions.

Suggested Citation

  • Marliese Uhrig-Homburg, 2002. "Valuation Of Defaultable Claims – A Survey," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 54(1), pages 24-57, January.
  • Handle: RePEc:sbr:abstra:v:54:y:2002:i:1:p:24-57
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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. Trueck, Stefan & Rachev, Svetlozar T., 2008. "Rating Based Modeling of Credit Risk," Elsevier Monographs, Elsevier, edition 1, number 9780123736833.
    3. Yalin Gündüz & Marliese Uhrig-Homburg, 2014. "Does modeling framework matter? A comparative study of structural and reduced-form models," Review of Derivatives Research, Springer, vol. 17(1), pages 39-78, April.
    4. Scheicher, Martin & Raunig, Burkhard, 2008. "A value at risk analysis of cedit default swaps," Working Paper Series 968, European Central Bank.
    5. Albrecht, Peter, 2005. "Kreditrisiken - Modellierung und Management: Ein Überblick," German Risk and Insurance Review (GRIR), University of Cologne, Department of Risk Management and Insurance, vol. 1(2), pages 22-152.
    6. Niu, Huawei & Hua, Wei, 2019. "An endogenous structural credit risk model incorporating with moral hazard and rollover risk," Economic Modelling, Elsevier, vol. 78(C), pages 47-59.
    7. Sabiwalsky, Ralf, 2010. "Nonlinear modelling of target leverage with latent determinant variables -- new evidence on the trade-off theory," Review of Financial Economics, Elsevier, vol. 19(4), pages 137-150, October.
    8. Maclachlan, Iain C, 2007. "An empirical study of corporate bond pricing with unobserved capital structure dynamics," MPRA Paper 28416, University Library of Munich, Germany.
    9. Krüger, Steffen & Oehme, Toni & Rösch, Daniel & Scheule, Harald, 2018. "A copula sample selection model for predicting multi-year LGDs and Lifetime Expected Losses," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 246-262.

    More about this item

    JEL classification:

    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

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