Financing efficiency in natural resource markets mobilizing private and public capital for a green recovery
J Yan, M Haroon - Resources Policy, 2023 - Elsevier
China, a natural resource market leader, must balance economic growth and sustainability.
Private and public money fund green initiatives and resource recovery in this study. This …
Private and public money fund green initiatives and resource recovery in this study. This …
The historic oil price fluctuation during the Covid-19 pandemic: What are the causes?
Abstract On 20 April 2020, the West Texas Intermediate (WTI) crude oil price dropped to
negative levels for the first time in history. This study examines the factors underlying the …
negative levels for the first time in history. This study examines the factors underlying the …
Investor sentiment and the price of oil
M Qadan, H Nama - energy economics, 2018 - Elsevier
The literature on oil prices considers real economic factors as the main drivers of changes in
oil prices. Using parametric and nonparametric methods, this study provides evidence that …
oil prices. Using parametric and nonparametric methods, this study provides evidence that …
Green finance and the socio-politico-economic factors' impact on the future oil prices: evidence from machine learning
This paper suggests an innovative method of estimating crude oil prices based on multiple
socio-politico-economic factors in context of green finance using the Least Absolute …
socio-politico-economic factors in context of green finance using the Least Absolute …
Influential factors in crude oil price forecasting
This paper identifies factors that are influential in forecasting crude oil prices. We consider
six categories of factors (supply, demand, financial market, commodities market, speculative …
six categories of factors (supply, demand, financial market, commodities market, speculative …
Multi-step-ahead crude oil price forecasting based on two-layer decomposition technique and extreme learning machine optimized by the particle swarm optimization …
T Zhang, Z Tang, J Wu, X Du, K Chen - Energy, 2021 - Elsevier
The prediction of crude oil prices has important research significance. The paper contributes
to the literature of hybrid models for forecasting crude oil prices. We apply ensemble …
to the literature of hybrid models for forecasting crude oil prices. We apply ensemble …
Global fossil energy markets and climate change mitigation–an analysis with REMIND
We analyze the dynamics of global fossil resource markets under different assumptions for
the supply of fossil fuel resources, development pathways for energy demand, and climate …
the supply of fossil fuel resources, development pathways for energy demand, and climate …
Forecasting the crude oil prices with an EMD-ISBM-FNN model
T Fang, C Zheng, D Wang - Energy, 2023 - Elsevier
In this paper, an improved slope-based method (ISBM) based on empirical mode
decomposition (EMD) and feed-forward neural network (FNN) method, namely, the EMD …
decomposition (EMD) and feed-forward neural network (FNN) method, namely, the EMD …
[BUCH][B] Climate economics: The state of the art
F Ackerman, E Stanton - 2013 - taylorfrancis.com
Climate science paints a bleak picture: The continued growth of greenhouse gas emissions
is increasingly likely to cause irreversible and catastrophic effects. Urgent action is needed …
is increasingly likely to cause irreversible and catastrophic effects. Urgent action is needed …
COVID 19's impact on crude oil and natural gas S&P GS Indexes
On 12 March 2020, the sharp fell of US crude oil price to 30 dollars was explained by the
outspreads of coronavirus pandemic and the OPEC's inability to reach a production quota …
outspreads of coronavirus pandemic and the OPEC's inability to reach a production quota …