The structure of return spillovers is examined by constructing Granger causality networks using daily closing prices of 20 developed markets from 2nd January 2006 to 31st December 2013. The data is properly aligned to take into account non-synchronous trading effects. The study of the resulting...

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...

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...

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...

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...

In this article, we contribute to the discussion of volatility persistence in the presence of sudden changes. We follow previous research, particularly Wang and Moore (2009), who analysed stock market returns in five Central and Eastern European countries using the Iterated Cumulative Sum of...

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 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...

The paper deals with estimation of both general GARCH as well as asymmetric EGARCH and TGARCH models, used to model the leverage effect of good news and bad news on market volatility. We estimate the models using daily returns of S&P 500 stock index and describe the news impact curves (NICs) for...