Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

Abstract Machine learning (ML) is generating new opportunities for innovative research in
energy economics and finance. We critically review the burgeoning literature dedicated to …

Estimating the price of crude oil, which is seen as an important resource for economic
development and stability in the world, is a topic of great interest by policy makers and …

Forecasting the future price of crude oil, which has an important role in the global economy,
is considered as a hot matter for both investment companies and governments. However …

Bitcoin and the blockchain technology on which it is based are the key drivers behind the
accelerated pace of Fourth Industrial Revolution in the domain of Finance. The offshoots of …

As crude oil price is influenced by numerous factors, capturing its behavior precisely is quite
challenging, and thus leads to the difficulty of forecasting. In this study, a deep learning …

This paper investigates how oil price (OP) influences the prospects of green bonds by
utilising the quantile-onquantile (QQ) method and researching the interactions between OP …

This paper investigates the link between crude oil prices (COP) and green bonds through a
rolling-window Granger-causality test. The positive, negative, and uncorrelated impacts of …

Since its initiation, ANN became popular and also plays a key role in enhancing the latest
technology. With an increase in industrial automation and the Internet of Things, now it is …

The inherent instability of wind power production leads to critical problems for smooth power
generation from wind turbines, which then requires an accurate forecast of wind power. In …