This article takes a time scale perspective to examine the interactions between crude oil and stock

We use univariate and multivariate GARCH-type models to investigate the properties of conditional volatilities of stock returns and exchange rates, as well as their empirical relationships. Taking three European stock markets and two popular US dollar exchange rates as case study, our results...

This article uses the DCC–FIAPARCH model to examine the time-varying properties of conditional return and volatility of crude oil and US stock markets as well as their dynamic correlations over the period 1988–2013. Our results indicate that both the long memory and asymmetric behavior...

This article uses the DCC-FIAPARCH model to examine the time-varying properties of conditional return and volatility of crude oil and US stock markets as well as their dynamic correlations over the period 1988-2013. Our results indicate that both the long memory and asymmetric behavior...

This article investigates the existence of short- and long-term relationships between oil prices and GCC stock markets. Since most of the GCC countries are among the major players in the world energy markets, their stock markets may be subjected to considerable influences of oil price shocks....

Purpose – This paper aims to empirically reexamine the dynamic changes in emerging market volatility around stock market liberalization. Design/methodology/approach – First, a bivariate GARCH-M model which counts for partial market integration is developed for modeling stock market...