Energy consumption within policy uncertainty: Considering the climate and economic factors

ZZ Li, CW Su, NC Moldovan, M Umar - Renewable Energy, 2023 - Elsevier
Climate and economic policy are closely correlated with energy consumption. This study
investigates the bi-directional causality between renewable (REC) and non-renewable …

Geopolitical risk trends and crude oil price predictability

Z Zhang, M He, Y Zhang, Y Wang - Energy, 2022 - Elsevier
Motivated by recent investigations on the connections between geopolitical risk and crude
oil prices, we implement a moving average strategy using the geopolitical risk index to …

Interconnectedness and risk profile of hydrogen against major asset classes

B Lucey, M Yahya, L Khoja, GS Uddin… - … and Sustainable Energy …, 2024 - Elsevier
This study examines the interconnectedness and risk profile of hydrogen in comparison to
other assets from December 2019 to April 2022, using a time-varying copula approach. The …

Macroeconomic and uncertainty shocks' effects on energy prices: a comprehensive literature review

I Dokas, G Oikonomou, M Panagiotidis, E Spyromitros - Energies, 2023 - mdpi.com
GDP, monetary variables, corruption, and uncertainty are crucial to energy policy decisions
in today's interrelated world. The global energy crisis, aggravated by rising energy prices …

Unveiling the impact of geopolitical conflict on oil prices: A case study of the Russia-Ukraine War and its channels

Q Zhang, K Yang, Y Hu, J Jiao, S Wang - Energy Economics, 2023 - Elsevier
Abstract The Russia-Ukraine War, which has lasted for over a year, has been proven to
significantly impact crude oil prices. This article aims to explore the channels through which …

The impact of extreme events on energy price risk

J Wen, XX Zhao, CP Chang - Energy Economics, 2021 - Elsevier
The nexus between extreme events and energy price risk is of great importance in energy
finance analysis due to the fact that those events generally exert strong impacts on energy …

New insights and best practices for the successful use of Empirical Mode Decomposition, Iterative Filtering and derived algorithms

A Stallone, A Cicone, M Materassi - Scientific reports, 2020 - nature.com
Abstract Algorithms based on Empirical Mode Decomposition (EMD) and Iterative Filtering
(IF) are largely implemented for representing a signal as superposition of simpler well …

[HTML][HTML] Text-based crude oil price forecasting: A deep learning approach

X Li, W Shang, S Wang - International Journal of Forecasting, 2019 - Elsevier
This study proposes a new, novel crude oil price forecasting method based on online media
text mining, with the aim of capturing the more immediate market antecedents of price …

Trading volume and realized volatility forecasting: Evidence from the China stock market

M Liu, WC Choo, CC Lee, CC Lee - Journal of Forecasting, 2023 - Wiley Online Library
The existing contradictory findings on the contribution of trading volume to volatility
forecasting prompt us to seek new solutions to test the sequential information arrival …

More attention and better volatility forecast accuracy: How does war attention affect stock volatility predictability?

C Liang, L Wang, D Duong - Journal of Economic Behavior & Organization, 2024 - Elsevier
This paper aims to explore the impact of war attention on stock volatility predictability by
constructing a new war attention index and employing an extended GARCH-MIDAS-ES …