We examine time-varying stock market comovements in Central Europe employing the asymmetric dynamic conditional correlation multivariate GARCH model. Using daily data from 2001 to 2011, we find that the correlations among stock markets in Central Europe and between Central Europe vis-a-vis the...

We examine the international stock market comovements between Western Europe vis-àvis Central (the Czech Republic, Hungary and Poland) and South Eastern Europe (Croatia, Macedonia and Serbia) using multivariate GARCH models in 2006-2011. Comparing these two groups, we find that the degree of...

In this paper, we examine whether pre-crisis leading indicators help explain pressures on the exchange rate (and its volatility) during the global financial crisis. We use a unique data set that covers 149 countries and 58 indicators, and estimation techniques that are robust to model...

In this paper, we examine whether pre-crisis leading indicators help explain pressures on the exchange rate (and its volatility) during the global financial crisis. We use a unique data set that covers 149 countries and 58 indicators, and estimation techniques that are robust to model...

We examine time-varying stock market comovements in Central Europe employing the asymmetric dynamic conditional correlation multivariate GARCH model. Using daily data from 2001 to 2011, we find that the correlations among stock markets in Central Europe and between Central Europe vis-a-vis the...