This paper proposes a novel approach, based on convolutional neural network (CNN) models, that forecasts the short-term crude oil futures prices with good performance. In our study, we confirm that artificial intelligence (AI)-based deep-learning approaches can provide more accurate forecasts of...

We examine the price discovery performance of China’s crude oil futures traded on the Shanghai International Energy Exchange (INE) for the spot prices of 19 types of deliverable and non-deliverable Asian crude oil. We find evidence for the INE crude oil futures price discovery function even at...

We examine the high-frequency intraday return and volatility transmission between crude oil futures prices and exchange rates around the COVID-19 shock for both the newly established Renminbi-denominated INE in China and the dollar-denominated Brent in the UK. With controlling for the influence...