Geopolitical risk and uncertainty in energy markets: Evidence from wavelet-based methods

IF 13.6 2区 经济学 Q1 ECONOMICS Energy Economics Pub Date : 2025-02-10 DOI:10.1016/j.eneco.2025.108281
Ivan De Crescenzo , Loretta Mastroeni , Greta Quaresima , Pierluigi Vellucci
{"title":"Geopolitical risk and uncertainty in energy markets: Evidence from wavelet-based methods","authors":"Ivan De Crescenzo ,&nbsp;Loretta Mastroeni ,&nbsp;Greta Quaresima ,&nbsp;Pierluigi Vellucci","doi":"10.1016/j.eneco.2025.108281","DOIUrl":null,"url":null,"abstract":"<div><div>In these recent years, geopolitical studies have gained an increasing interest across mainstream arenas as well as among researchers. The pandemic outbreak in 2020 and warfare tensions in many hot spots across the globe are the prime drivers of the attraction of geopolitical studies speculating the “post-globalized” world. Geopolitical (dis)equilibria and energy markets have demonstrated a solid linking due to the interconnected global economy alongside with uncertainty over both climate and global policy. In this paper, we intend to investigate the relationship between the above-mentioned risks and the energy market, with a special focus on natural gas, coal and oil. To this purpose, we apply wavelet entropy-based measures to assess how much uncertainty indices can predict the dynamics of these three commodities and vice-versa. Both indexes and commodities time series are collected over a period that goes from January 2008 to February 2024 for a total of 195 monthly observations. The results show that the commodities are affected very differently by the risk and uncertainty indexes. Hence we believe these findings may be supportive to policy makers and regulators who are called to puzzle out the future energy mix for power generation in times of geopolitical turmoil and climate crisis. We eventually support our findings with a comprehensive dissertation over the most relevant geopolitical phenomena of last years.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"143 ","pages":"Article 108281"},"PeriodicalIF":13.6000,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0140988325001045","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

In these recent years, geopolitical studies have gained an increasing interest across mainstream arenas as well as among researchers. The pandemic outbreak in 2020 and warfare tensions in many hot spots across the globe are the prime drivers of the attraction of geopolitical studies speculating the “post-globalized” world. Geopolitical (dis)equilibria and energy markets have demonstrated a solid linking due to the interconnected global economy alongside with uncertainty over both climate and global policy. In this paper, we intend to investigate the relationship between the above-mentioned risks and the energy market, with a special focus on natural gas, coal and oil. To this purpose, we apply wavelet entropy-based measures to assess how much uncertainty indices can predict the dynamics of these three commodities and vice-versa. Both indexes and commodities time series are collected over a period that goes from January 2008 to February 2024 for a total of 195 monthly observations. The results show that the commodities are affected very differently by the risk and uncertainty indexes. Hence we believe these findings may be supportive to policy makers and regulators who are called to puzzle out the future energy mix for power generation in times of geopolitical turmoil and climate crisis. We eventually support our findings with a comprehensive dissertation over the most relevant geopolitical phenomena of last years.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Energy Economics
Energy Economics ECONOMICS-
CiteScore
18.60
自引率
12.50%
发文量
524
期刊介绍: Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.
期刊最新文献
Corrigendum to “Spillover effects between fossil energy and green markets: Evidence from informational inefficiency” [Energy EconomicsVolume 131, March 2024, 107317] Household benefits from energy efficiency retrofits: Implications for net zero housing policy Erratum to “On the performance of the United States nuclear power sector: A Bayesian approach” [Energy Economics Volume 125, September 2023, 106,884]. Does urban agglomeration reduce carbon emissions in Chinese cities? New perspective on factor mobility Systemic resilience of networked commodities
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1