In the context of interdependence of the financial markets, it becomes interesting to analyze the implications associated with the Terrorist Attacks of the 11th of September of 2001, in the USA, in terms of the development of contagion mechanisms between the main international stock exchanges....

In this paper a Vector Autoregressive Model is applied to the most representative Portuguese cable television operators, in order to obtain a dynamic analysis of the interactivity established between the supply and the demand of network services, through the strategy of vertical integration of...

In this article a Vector Autoregressive Model is applied to the Portuguese cable television operators, in order to obtain a dynamic analysis of the interactivity established between the supply and the demand of network services. The results reveal the existence of two driving forces, on the one...

The aim of this paper is to study the the fundamental macroeconomic determinants of both the CPI and the PPI-based real effective exchange rate in 5 selected acceding countries from Central and Eastern Europe, i.E the Czech Republic, Hungary, Poland, Slovakia and Slovenia. The paper is based on...

The aim of this paper is to study the the fundamental macroeconomic determinants of both the CPI and the PPI-based real effective exchange rate in 5 selected acceding countries from Central and Eastern Europe, i.E the Czech Republic, Hungary, Poland, Slovakia and Slovenia. The paper is based on...

The paper analyzes a spatial pattern of goods market integration in Russia. By the spatial pattern is meant a state of each individual region of the country: whether it is integrated, and if not, whether it moves towards integration. Time series of the cost of the basket of 25 basic foods across...

The use of subspace algorithms for the identification of non-stationary cointegrated stochastic systems is a promising technique that is currently under discussion. A revision of the literature provides two distinct algorithms: State Space Aoki Time Series (SSATS) identification algorithm (Aoki...

This paper investigates the relevance of the stationary, conditional, parametric ARCH modeling paradigm as embodied by the GARCH(1,1) process to describing and forecasting the dynamics of returns of the Standard & Poors 500 (S&P 500) stock market index. A detailed analysis of the series of S&P...

This paper introduces an upgraded version of MSVARlib, a Gauss and Ox- Gauss compliant library, focusing on Multivariate Markov Switching Regressions in their most general specification. This new set of procedures allows to estimate, through classical optimization methods, models belonging to...

For many economic problems standard statistical analysis, based on the notion of stationarity, is not adequate. These include modeling seasonal decisions of consumers, forecasting business cycles and - as we show in the present article - modeling wholesale power market prices. We apply standard...