We propose a new dynamic model for volatility and dependence in high dimensions, that allows for departures from the normal distribution, both in the marginals and in the dependence. The dependence is modeled with a dynamic canonical vine copula, which can be decomposed into a cascade of...

This paper introduces a new multivariate model for time series count data. The Multivariate Autoregressive Conditional Poisson model (MACP) makes it possible to deal with issues of discreteness, overdispersion (variance greater than the mean) and both auto- and cross-correlation. We model counts...

This paper introduces and evaluates new models for time series count data. The Autoregressive Conditional Poisson model (ACP) makes it possible to deal with issues of discreteness, overdispersion (variance greater than the mean) and serial correlation. A fully parametric approach is taken and a...

In this paper we perform an empirical analysis of the trading process in a pure limit order book market, the Xetra system which operates at various European exchanges.We study how liquidity supply and demand as well as price volatility affect future trading activity and market resiliency, and...

We investigate the existence of local (i.e. within-country) and global (i.e. between-country) knowledge spillovers within a single analytical framework. Our analysis is based on an exhaustive database on Irish manufacturing plants covering the period 1986-1994 and focuses on the impact of R&D...

We measure the effect of R&D spillovers on plant productivity by taking account of (i) the national origin of the spillovers, (ii) the mechanism through which spillovers may flow (FDI and/or imports), (iii) the sectoral scope of spillovers, as well as (iv) their geographic scope, in a single...