This paper is concerned with the role of oil and gas in the development of the global economy. Its focus is on the context in which oil and gas producers in both established and developing countries must frame their policies in order to optimize the benefits of producing such resources. It...

The authors demonstrate that the United States profits handsomely in all circumstances by imposing an embargo on imports of foreign crude oil. The US removes its exposure to foreign oil supply shocks and recovers deadweight lost producers surplus. The embargo plan will lead to greater domestic...

The world energy sector is entering a period of transformation, defined by the emergence of a whole range of cost-effective technologies and the formation of new state priorities that can radically change the structure of energy use. The calculations of the development of world energy markets...

In 2020, the futures & spot markets of crude oil have changed dramatically. This paper analyzes the price discovery process of the WTI and Brent crude oil futures & spot markets using the information share model of Hasbrouck (1995), and finds that each reverse of the dominant asset can indicate...

In the background of the Russian invasion of Ukraine, European Union (EU) agreed to ban the overwhelming majority of Russian oil imports. Since the beginning of the invasion, the West decided to make Moscow pay economically for its aggression. Nevertheless, the decision aimed at the energy...

This study examines the impact of uncertainty on mergers and acquisition (M&A) activity. We focus on product market uncertainty in the oil and gas sector. Analysing this industry enables us to construct a natural forward-looking measure of product market uncertainty, namely the implied crude oil...

This study analyses oil price movements through the lens of an agnostic random forest model, which is based on 1,000 regression trees. It shows that this highly disciplined, yet flexible computational model reduces in-sample root mean square errors (RMSEs) by 65% relative to a standard linear...

This study analyses oil price movements through the lens of an agnostic random forest model, which is based on 1,000 regression trees. It shows that this highly disciplined, yet flexible computational model reduces in-sample root mean square errors (RMSEs) by 65% relative to a standard linear...

Following a sharp drop amidst the global economic crisis and a subsequent recovery, the spot price of crude oil has been broadly stable for the past couple of years. This paper discusses the factors that drive oil demand and supply and, hence, the price of the resource. A set of oil demand...

We examine the implications of increased unconventional crude oil production in North America. This production increase has been made possible by the existence of alternative oil-recovery technologies and persistently elevated oil prices that make these technologies commercially viable. We first...