In order to capture the dependency among exchange rates we construct semiparametric
multivariate copula models with ARMA-GARCH margins. As multivariate copula models we
utilize pair-copula constructions (PCC) such as regular and canonical vines. As building blocks
of the PCC’s we use bivariate t-copulas for different tail dependence between pairs of exchange
rates. Alternatively we also consider a non Gaussian directed acyclic graph (DAG) model which
can be imbedded as a special PCC. We apply these models to Euro exchange rates. A nonnested
model comparison technique is developed to compare DAG, regular and canonical vine based
models. This provides a modeling framework for constructing high dimensional joint models
and allows extensions to asymmetric marginal models and time varying dependence models.
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