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Copula dynamics in CDOs
Authors:Barbara Choro?-Tomczyk  Wolfgang Karl Härdle  Ludger Overbeck
Institution:1. Ladislaus von Bortkiewicz Chair of Statistics, C.A.S.E. – Center for Applied Statistics and Economics , Humboldt-Universit?t zu Berlin , Unter den Linden 6, 10099 , Berlin , Germany barbara.choros@wiwi.hu-berlin.de;3. Ladislaus von Bortkiewicz Chair of Statistics, C.A.S.E. – Center for Applied Statistics and Economics , Humboldt-Universit?t zu Berlin , Unter den Linden 6, 10099 , Berlin , Germany;4. School of Business , Singapore Management University , 50 Stamford Road, Singapore , 178899 , Singapore;5. Department of Mathematics , Giessen University , Arndtstrasse 2, 35392 , Giessen , Germany
Abstract:Values of tranche spreads of collateralized debt obligations (CDOs) are driven by the joint default performance of the assets in the collateral pool. The dependence between the entities in the portfolio mainly depends on current economic conditions. Therefore, a correlation implied from tranches can be seen as a measure of the general situation of the credit market. We analyse the European market of standardized CDOs using tranches of the iTraxx index in the periods before and during the global financial crisis. We investigate the evolution of the correlations using different copula models: the standard Gaussian, the NIG, the double-t, and the Gumbel copula model. After calibration of these models, one obtains a time varying vector of parameters. We analyse the dynamic pattern of these coefficients. That enables us to forecast future parameters and consequently calculate Value-at-Risk measures for iTraxx Europe tranches.
Keywords:CDO  Multivariate distributions  Copula  Implied correlations  Value-at-Risk
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