Using monthly observations of industrial production and stock market indices from January 1961 to May 2012, we analyse the long-run relationship between the stock markets and real economic activity in the G-7 countries. In particular, this analysis uses the Toda and Yamamoto (1995) approach with...

This paper investigates whether the daily stock returns of the Polish, Czech and Hungarian stock markets are covariance stationary. Using the Pagan – Schwert (1990) and Loretan – Phillips (1994) testing procedures, we show that contrary to the widely accepted assumption of covariance...

The weekly returns of equities are commonly used in the empirical research to avoid the non-synchronicity of daily data. An empirical analysis is used to show that the statistical properties of a weekly stock returns series strongly depend on the method used to construct this series. Three types...

Using dynamic conditional correlations (DCCs), we estimate the time-varying relationship between stock market returns and output growth based on monthly data for the US over the 1964:01 to 2012:07 time period. We demonstrate that in general, this relationship is positive and present during the...

The purpose of this paper is to explain both the need and the procedures of unit-root testing to a wider audience. The topic of stationarity testing in general and unit root testing in particular is one that covers a vast amount of research. We have been discussing the problem in four different...

We assess the issue of fiscal sustainability in the selected EU countries. Our sample includes those showing the highest government debts, which are nowadays known under the somewhat degrading acronym – PIIGGS (Portugal, Ireland, Italy, Greece, Great Britain and Spain). Assuming the so-called...

Using weekly returns of S&P 500 constituents, we study the time-varying correlation structure during the period of 2006 to mid-2011. Contrary to most of the previous correlation studies of many assets, we do not use rolling correlations but the DCC MV-GARCH model with the MacGyver strategy...

This study examines the relationship between time-varying correlations and conditional volatility among 32 worldwide emerging and frontier stock markets and the MSCI World stock market index from January 2000 to December 2012. Correlations are estimated in the standard and asymmetric dynamic...

Using a sample of monthly data from January 1996 to December 2012, we provide new evidence on the unidirectional Granger causality from real stock market returns to real economic activity in three Central and Eastern European countries: the Czech Republic, Hungary, and Poland. By employing the...

We demonstrate the economic relevance of minimum spanning trees (MSTs) constructed from dynamic conditional correlations (DCC) for a sample of S&P 100 constituents. An empirical comparison of MST properties shows that using the standard approach of rolling (or sliding-window) correlations yields...