We examine howthe verbal complexity of ECB communications affectsfi-nancial market trading based on high-frequency data fromEuropean stock index futures trading. Studying the 34 events between May 2009 and June 2017, during which the ECB Governing Council press conferences covered unconventional...

We analyse the impact of news on five financial markets in the Czech Republic, Hungary and Poland using a newly constructed data set in a GARCH framework. Macroeconomic shocks (on GDP, inflation rate, current account and trade balance) are constructed as deviations from expected values....

In this paper, we study the effects of euro area and US macroeconomic news on financial markets in the Czech Republic, Hungary, and Poland (CEEC-3) from 1999 to 2006. Using a GARCH model, we examine the impact on daily returns of three-month interest rates, stock market indices, exchange rates...

We investigate conditional correlations between six CEEC-3 financial markets estimated by DCC-MGARCH models. In general, the highest correlations exist between Hungary and Poland in foreign exchange and stock markets. Short-term money markets are rather isolated from each other. We find that the...

We empirically examine how complexity of ECB communications affects financial market trading based on high-frequency data from European stock index futures trading. Our sam-ple covers ECB press conferences between January 2009 and December 2017, during which unconventional monetary policy...

We study the correlation between pairs of bond and stock markets in Canada and the United States between January 1998 and December 2009 in the framework of diagonal-BEKK models. Our research question is whether monetary policy actions and communications by the Bank of Canada and the Federal...