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 capturing (multivariate) dynamics in higher order …

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 capturing (multivariate) dynamics in higher order …

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 …

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 …

estimation technique, based on a combination of seminonparametric methods and copula theory, that is suitable for large …

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 …

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 capturing (multivariate) dynamics in higher order …

dependence structure between assets is studied using vine copula constructions, which allow for nonlinearity and asymmetry …