. Nevertheless it is not very often consistent with the real data. Copulae allows for an extension of the classical time series … models to nonelliptically distributed residuals. In this paper we apply different copulae to the calculation of the static … and dynamic Value-at-Risk of portfolio returns and Profit-and-Loss function. In our findings copula based multivariate …

both fractional cointegration and copula techniques. The former exploits the long memory behavior of the volatility … for the European and British exchange rates. Concerning the copula analysis, we conclude in favor of weak dependence when …

We introduce a copula-based dynamic model for multivariate processes of (non-negative) high-frequency trading variables … multiplicative error model we map the resulting residuals into a Gaussian domain using a Gaussian copula. Based on high … proposed copula-based transformation is supported by the data and allows disentangling (multivariate) dynamics in higher order …

-dimensional hierarchical Archimedean copulae (HAC). A computationally ecient estimation procedure allows to recover the structure and the …

is used for innovations. As the association between the underlying assets may vary over time, the dynamic copula approach …-GH model with time-varying copula differ substantially from the prices implied by the GARCH-Gaussian dynamic copula model …

Conditional dependence is expressed as a projection map in the trivariate copula space. The projected copula, its … sample counterpart and the related process are defined. The weak convergence of the projected copula process to a tight … centered Gaussian Process is obtained under weak assumptions on copula derivatives. …