Li, Hui (2009): Extension of Spot Recovery Model for Gaussian Copula.
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Abstract
Heightened systematic risk in the credit crisis has created challenges to CDO pricing and risk management. One important focus has been on the modeling of stochastic recovery. Different approaches within the Gaussian Copula framework have been proposed, but a consistent model was lacking until the recent paper of Bennani and Maetz [6] which shifted the modeling from period recovery to spot recovery. In this paper, we generalize their model to an arbitrary spot recovery distribution setup and extend the deterministic dependency on systematic factor to a random one. Besides, an extra parameter is introduced to control the correlation between default and recovery rate and the correlation between the recovery rates.
Item Type: | MPRA Paper |
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Original Title: | Extension of Spot Recovery Model for Gaussian Copula |
Language: | English |
Keywords: | CDO, Gaussian Copula, Stochastic Recovery, Spot Recovery Model |
Subjects: | G - Financial Economics > G3 - Corporate Finance and Governance > G32 - Financing Policy ; Financial Risk and Risk Management ; Capital and Ownership Structure ; Value of Firms ; Goodwill G - Financial Economics > G1 - General Financial Markets > G13 - Contingent Pricing ; Futures Pricing |
Item ID: | 17944 |
Depositing User: | Hui Li |
Date Deposited: | 19 Oct 2009 13:34 |
Last Modified: | 07 Oct 2019 08:28 |
References: | [1] E. Altman (2006): Default Recovery Rates and LGD in the Credit Risk Model and Practice: An Updated Review of the Literature and Empirical Evidence. defaultrisk.com. [2] S. Amraoui, L. Cousot, S. Hitier, J-P. Laurent (2009): Pricing CDOs with State Dependent Stochastic Recovery Rates. defaultrisk.com. [3] S. Amraoui, S. Hitier (2008): Optimal Stochastic Recovery for Base Correlation. defaultrisk.com. [4] L. Andersen, J. Sidenius, S. Basu (2003): All Your Hedges in One Basket. Risk, November pp. 67-72. [5] L. Andersen, J. Sidenius (2004): Extensions to the Gaussian Copula: Random Recovery and Random Factor Loadings. Journal of Credit Risk 1(1), pp. 29-70. [6] N. Bennani, J. Maetz (2009): A Spot Recovery Rate Extension of the Gaussian Copula. defaultrisk.com. [7] M. Krekel (2008): Pricing Distressed CDOs with Base Correlation and Stochastic Recovery. defaultrisk.com. [8] D. X. Li (2000): On Default Correlation: A Copula Function Approach. Working Paper, Nr. 99-07, RiskMetrics. [9] H. Li (2009): On Models of Stochastic Recovery for Base Correlation. Working Paper, http://mpra.ub.uni-muenchen.de/17894 [10] Y. Li (2009): A Dynamic Correlation Modeling Framework with Consistent Stochastic Recovery. defaultrisk.com. [11] D. Shelton (2004): Back to Normal. Working Paper, Citigroup Global Fixed Income Research. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/17944 |