This paper proposes a novel event-based simulation model for assessing the explicit demand response potential of electric vehicle (EV) charging networks. The model utilizes multivariate copulas in generation of realistic artificial charging events that retain the complex dependency structures...

We estimate the euro area output gap by applying the Beveridge-Nelson decomposition based on a large Bayesian vector autoregression. Our approach incorporates multivariate information through the inclusion of a wide range of variables in the analysis and addresses data issues associated with the...

Purpose - The purpose of this study is to extend the classical noncentral F-distribution under normal settings to noncentral closed skew F-distribution for dealing with independent samples from multivariate skew normal (SN) distributions. Design/methodology/approach - Based on generalized...

Interest rates have fallen worldwide in recent decades, a phenomenon that has been linked at least in part to a decline in the natural rate of interest, r* (a.k.a. “r-star”). To investigate this decline, we consider a multivariate trend-cycle decomposition of real interest rates using a...

The aim of this paper is to propose a multivariate INAR(1) model for addressing all the challenges in high-dimensional non-life claim count data sets that exhibit time and cross dependence and a zero-inflation attribute. In particular, the innovation terms are modelled using a multivariate...