Fossil fuels support a lot of economies worldwide but also generate a lot of quantities of carbon dioxide when burned. These carbon emissions trap heat in the atmosphere and lead to climate change and consequential environmental degradation and health issues. One of the fundamental questions is...

Intraday return predictability has firstly been identified in the equity markets, and we extend the analysis to the crude oil market by using high-frequency United States Oil Fund data from 2006 to 2018. We find a different intraday prediction pattern in the oil market, where only the first...

There is a debate in the literature on the best method to forecast an aggregate: (1) forecast the aggregate directly, (2) forecast the disaggregates and then aggregate, or (3) forecast the aggregate using disaggregate information. This paper contributes to this debate by suggesting that in the...

This paper reports evidence of intraday return predictability, consisting of both intraday momentum and reversal, in the cryptocurrency market. Using high-frequency price data on Bitcoin from March 3, 2013, to May 31, 2020, it shows that the patterns of intraday return predictability change in...

The energy transition requires substantial amounts of metals such as copper, nickel, cobalt and lithium. Are these metals a key bottleneck? We identify metal-specific demand shocks, estimate supply elasticities and pin down the price impact of the energy transition in a structural scenario...

A growing body of research connects short-run deviations in weather with violence. Less well understood is the scope for agents to adapt to medium and longer-run climate fluctuations. We follow Hsiang, Meng, and Cane (2011) and use the existing climactic forces of the El Niño Southern...

The logistic function is one of the most useful mathematical models that can be utilised for various practical, real-life data, such as forecasting sea ice extent. This study aims to determine what logistic function is and how it can help forecast a time series problem, as in our case, a sea ice...

There is a rapidly advancing literature on the macroeconomics of climate change. This review focuses on developments in the construction and solution of structural integrated assessment models (IAMs), highlighting the marriage of state-of-the-art natural science with general equilibrium theory....