This paper extends previous studies by investigating the relevance of structural breaks and long memory in modeling and forecasting the conditional volatility of oil spot and futures prices using a variety of GARCH-type models. Our results can be summarized as follows. First, we provide evidence...

This paper uses the Vector Autoregressive (VAR) model and the Switching Transition Regression-Exponential GARCH models (STR-EGARCH) to examine the dynamic relationships between the EU Emission Allowances (EUA) spot and futures prices during Phase II. Compared to the majority of previous studies,...

We employ a bivariate VAR-GARCH model of Ling and McAleer (2003) to examine the volatility transmission between oil prices and stock market sectors in the United States. We also compute the optimal weights and hedge ratios for oil-stock portfolio holdings and show how they can be used to build...