Machine Learning (ML) is generating new opportunities for innovative research in energy economics and finance. We critically review the burgeoning literature dedicated to Energy Economics/Finance applications of ML. Our review identifies applications in areas such as predicting energy prices...

This paper analyzes existing experiences with Islamic financing of energy projects. We argue that Islamic finance provides an additional channel to attract financial resources to improve energy efficiency, access to energy, and a sustainable energy supply. Major forms of Islamic finance methods...

We investigate the maturity-structure of roll strategy returns in the energy futures markets. Our innovation is to report and analyze the risk/return profile, the Sharpe ratio, and the asset pricing loadings of rollover strategies based on futures contracts of the same underlying commodity but...