Abstract
We construct twelve marginal–copula combinations using three marginal distributions (normal, t and SU -normal) and four types of copulas (normal, skewed normal, t and skewed t). Bivariate empirical evidence shows that the choice of marginal distribution plays a more important role in the Value at Risk (VaR) estimation than the selection of copula specification.
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