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CDO: General Characteristics.- Credit Risk Modeling -- Copula Functions and Dependency Concepts -- Moment Matching … Gaussian dependence in terms of Copula functions. In particular the model is rewritten for the specific case of the Clayton … copula. The method is applied to price the tranches of a CDX. By comparing the tranches prices, it is possible to notice that …
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Copulas offer a useful tool in modelling the dependence among random variables. In the literature, most of the existing copulas are symmetric while data collected from the real world may exhibit asymmetric nature. This necessitates developing asymmetric copulas that can model such data. In the...
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This paper proposes the use of outlier detection methods from robust statistics and copula goodness-of-fit tests to … given by a mixture of two parametric copulas: one copula that is presumed to represent the true dependence structure and one … disturbing copula. The Monte Carlo simulations show that the goodness-of-fit tests we consider lose significantly in power when …
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normal and Student's t benchmark models and a multivariate Johnson's SU model, the copula-based models with non …
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instrument-free estimation method that builds upon joint estimation using copulas. The method is based on Gaussian copula …
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post-COVID period. Using t-copula-DCC-GJR-GARCH-skew-t and t-copula-aDCC-GJR-GARCH-skew-t models for pre- and post …-COVID periods, respectively and the R-vine copula model for tail dependence analysis during times of extreme market conditions; our …
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