This paper applies a non- and a semiparametric copula-based approach to analyze the first-order autocorrelation of returns in high frequency financial time series. Using the EUREX D3047 tick data from the German stock index, it can be shown that the temporal dependence structure of price...

In this paper we introduce a new model, based on the synthesis of conditional copulas and Gaussian graphical models under a copula -- vine framework. The use of the copula vine permits each pair between the market and a stock to have their own dynamics. In that case the asset keeps its...