We augment the HAR model with additional information channels to forecast realized volatility of WTI futures prices. These channels include stock markets, sentiment indices, commodity and FX markets, and text-based Google indices. We then apply four differing machine learning techniques to...

This paper introduces a multi-layer network approach to explore risk contagions in a sample of top energy firms in the world. Large energy companies play a very important role in the international energy market. Mapping their responses to different types of shocks provides profound implications...