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We study the correlation between pairs of bond and stock markets in Canada and the United States between January 1998 and December 2006 in the framework of Diagonal-BEKK models. Our research question is whether monetary policy action and communication by the Bank of Canada and the Federal...
Persistent link: https://www.econbiz.de/10009409360
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...
Persistent link: https://www.econbiz.de/10012180543
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We examine the effects of U.S. federal funds target rate changes and all types of FOMC communication on European and Pacific equity market returns using a GARCH model. We show that both types of news have a significant impact, but that the effects are not symmetric: although several...
Persistent link: https://www.econbiz.de/10013152513
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...
Persistent link: https://www.econbiz.de/10003864447
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...
Persistent link: https://www.econbiz.de/10003852244
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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...
Persistent link: https://www.econbiz.de/10010459026
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