Information linkages across countries around net zero announcements

IF 13.6 2区 经济学 Q1 ECONOMICS Energy Economics Pub Date : 2024-11-20 DOI:10.1016/j.eneco.2024.108062
Mona Mashhadi Rajabi , Martina Linnenluecke , Tom Smith
{"title":"Information linkages across countries around net zero announcements","authors":"Mona Mashhadi Rajabi ,&nbsp;Martina Linnenluecke ,&nbsp;Tom Smith","doi":"10.1016/j.eneco.2024.108062","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates the information linkages around net zero announcements across countries. Relying on rational expectation theory, this study employs the generalized method of moments (GMM) as well as the implied volatility approach to quantify volatility linkages between exchange-traded funds (ETFs) from nine countries and a global ETF (WLD). The GMM analysis reveals that volatility linkages among country ETFs and WLD range from 39.67 % to 71.43 %, while the implied volatility approach indicates that volatility linkages between markets range from 32.31 % to 65.36 %, indicating significant information spillover across countries. A time-varying dynamic analysis further shows that the US Government's net zero announcement increased volatility linkages across markets by 8.7 % to 58.05 %, signaling market approval of the US commitment to net zero targets. Multivariate analysis of the monthly correlation between country ETFs and WLD shows that the US plays a pivotal role. Although net zero announcements by the US, UK, and China individually impacted market correlations, the effect of China's announcement was insignificant when all announcements were considered in the model. Without US participation, efforts by other countries to achieve global net zero goals are unlikely to succeed.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"141 ","pages":"Article 108062"},"PeriodicalIF":13.6000,"publicationDate":"2024-11-20","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/S0140988324007710","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

This study investigates the information linkages around net zero announcements across countries. Relying on rational expectation theory, this study employs the generalized method of moments (GMM) as well as the implied volatility approach to quantify volatility linkages between exchange-traded funds (ETFs) from nine countries and a global ETF (WLD). The GMM analysis reveals that volatility linkages among country ETFs and WLD range from 39.67 % to 71.43 %, while the implied volatility approach indicates that volatility linkages between markets range from 32.31 % to 65.36 %, indicating significant information spillover across countries. A time-varying dynamic analysis further shows that the US Government's net zero announcement increased volatility linkages across markets by 8.7 % to 58.05 %, signaling market approval of the US commitment to net zero targets. Multivariate analysis of the monthly correlation between country ETFs and WLD shows that the US plays a pivotal role. Although net zero announcements by the US, UK, and China individually impacted market correlations, the effect of China's announcement was insignificant when all announcements were considered in the model. Without US participation, efforts by other countries to achieve global net zero goals are unlikely to succeed.
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
各国围绕净零宣布的信息联系
本研究调查了各国净额为零的公告前后的信息联系。本研究以理性预期理论为基础,采用广义矩法(GMM)和隐含波动率法量化九个国家的交易所交易基金(ETF)与全球 ETF(WLD)之间的波动率联系。GMM 分析表明,国家 ETF 和 WLD 之间的波动性联系介于 39.67 % 到 71.43 % 之间,而隐含波动率法表明,市场之间的波动性联系介于 32.31 % 到 65.36 % 之间,这表明各国之间存在显著的信息溢出。时变动态分析进一步显示,美国政府宣布净零增长后,各市场之间的波动率联系增加了 8.7%,达到 58.05%,表明市场认可美国净零增长目标的承诺。对国家 ETF 和 WLD 之间的月度相关性进行的多变量分析表明,美国发挥着举足轻重的作用。尽管美国、英国和中国各自宣布的净零目标对市场相关性产生了影响,但将所有宣布纳入模型考虑时,中国宣布的影响并不显著。没有美国的参与,其他国家实现全球净零目标的努力就不可能成功。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Economical driving and taxation of road use Ensuring the security of the clean energy transition: Examining the impact of geopolitical risk on the price of critical minerals Digitizing energy supply chains for enhanced resilience: Exploring the nexus between supply chain digitization, carbon neutrality, and natural resource extraction Integrating renewable energy resources in electricity distribution systems—A firm-level efficiency analysis for Sweden controlling for weather conditions Determining the profitability of energy storage over its life cycle using levelized cost of storage
×
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