This paper studies the effects of FOMC communication on U.S. financial markets’ returns and volatility using a GARCH model over the period from 1998 to 2006. We build a new data set that includes information on all FOMC speeches, post-meeting statements, monetary policy reports and...

Using a GARCH model, we study the effects of Federal Funds target rate changes and FOMC communication on emerging equity market returns and volatility over the period 1998–2006. First, both types of news have a significant impact on market returns. Second, target rate changes are more...

We examine the impact of Bank of Canada communications and media reporting on them on Canadian (short- and medium-term) bond and stock market returns using a GARCH model. Communications are rather uniformly distributed over the sample period (1998–2006); however, media coverage is particularly...

During the first eight months of 2015, there was an ongoing debate about whether or not Greece should remain in the euro area. Using an event study approach, we quantify the effects of Grexit-related statements made by six important euro area politicians (Merkel, Schaeuble, Tsipras, Varoufakis,...

We analyze the impact of the pro-Russian conflict on stock returns in Russia and the Ukraine during the period November 21, 2013 to September 29, 2014. We utilize a newly created indicator for the degree of (de-)escalation based on an Internet search for conflict-related news. We find that...

During the first eight months of 2015, there was an ongoing debate about whether or not Greece should remain in the euro area. Using an event study approach, we quantify the effects of Grexit-related statements made by six important euro area politicians (Merkel, Schaeuble, Tsipras, Varoufakis,...

The empirical literature of stock market predictability mainly suffers from model uncertainty and parameter instability. To meet this challenge, we propose a novel approach that combines the documented merits of diffusion indices, regime-switching models, and forecast combination to predict the...

The empirical literature of stock market predictability mainly suffers from model uncertainty and parameter instability. To meet this challenge, we propose a novel approach that combines the documented merits of diffusion indices, regime-switching models, and forecast combination to predict the...

The empirical literature of stock market predictability mainly suffers from model uncertainty and parameter instability. To meet this challenge, we propose a novel approach that combines the documented merits of diffusion indices, regime-switching models, and forecast combination to predict the...