Showing 1 - 10 of 10
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...
Persistent link: https://www.econbiz.de/10011258966
-root tests, identified volatility breaks, unconditional correlations, ARMA-GARCH and DCC MV-GARCH models as well. Our findings …
Persistent link: https://www.econbiz.de/10011260722
We examine whether there is contagion from the U.S. stock market to six Central and Eastern European stock markets. We use a novel measure of contagion that examines whether volatility shocks in the U.S. stock market coupled with negative returns are followed by higher co-exceedance between U.S....
Persistent link: https://www.econbiz.de/10011580508
This paper uses the novel quantile coherency approach to examine the tail dependence network of 49 international stock markets in the frequency domain. We find that geographical proximity and state of market development are important factors in stock markets networks. Both the short- and...
Persistent link: https://www.econbiz.de/10011986864
In our network analysis of 40 developed, emerging and frontier stock markets during 2006–2014, we describe and model volatility spillovers during global financial crisis and tranquil periods. The resulting market interconnectedness is depicted by fitting a spatial model incorporating several...
Persistent link: https://www.econbiz.de/10011657197
We examine whether there is contagion from the U.S. stock market to six Central and Eastern European stock markets. We use a novel measure of contagion that examines whether volatility shocks in the U.S. stock market coupled with negative returns are followed by higher co-exceedance between U.S....
Persistent link: https://www.econbiz.de/10011482691
This paper uses the novel quantile coherency approach to examine the tail dependence network of 49 international stock markets in the frequency domain. We find that geographical proximity and state of market development are important factors in stock markets networks. Both the short- and...
Persistent link: https://www.econbiz.de/10012124708
Persistent link: https://www.econbiz.de/10012421228
Persistent link: https://www.econbiz.de/10012244328
In our network analysis of 40 developed, emerging and frontier stock markets during 2006-2014, we describe and model volatility spillovers during global financial crisis and tranquil periods. The resulting market interconnectedness is depicted by fitting a spatial model incorporating several...
Persistent link: https://www.econbiz.de/10011654569