Asymmetric relationship between carbon market and energy markets

IF 9 1区 工程技术 Q1 ENERGY & FUELS
Emmanuel Joel Aikins Abakah , David Xuefeng Shao , Aviral Kumar Tiwari , Chien-Chiang Lee
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引用次数: 0

Abstract

This paper examines the asymmetric returns spillovers and time-frequency causality between the carbon emissions market and the energy market. To this end, we apply the time-varying asymmetry spillovers and Granger causality over the spectrum approaches. This research uses daily price indices of natural gas, gasoline, gas oil, heating oil, crude oil, coal, petroleum, kerosene, propane, and diesel to denote the energy market and the European Union Emissions Trading System (i.e., certificate prices for CO2 emissions) to represent the carbon market. Using historical time-series data from May 18, 2011, to September 23, 2020, the study reveals interesting and convincing empirical results showing that the carbon and energy markets are dynamically and asymmetrically connected. Further results show that the carbon market predominantly explains positive or negative returns in the energy market. Regarding volatility transmission, the study demonstrates that the carbon market is a primary net receiver of good or bad volatility transmitted from the energy market, such as crude oil, petroleum, heating oil, diesel, and kerosene.
碳市场与能源市场之间的不对称关系
本文研究了碳排放市场与能源市场之间的非对称收益溢出效应和时频因果关系。为此,我们采用了时变非对称性溢出效应和格兰杰因果关系谱方法。本研究使用天然气、汽油、燃气油、取暖油、原油、煤炭、石油、煤油、丙烷和柴油的每日价格指数来表示能源市场,使用欧盟排放交易系统(即二氧化碳排放证书价格)来表示碳市场。研究使用了从 2011 年 5 月 18 日到 2020 年 9 月 23 日的历史时间序列数据,揭示了有趣且令人信服的实证结果,表明碳市场和能源市场具有动态和非对称的联系。进一步的结果表明,碳市场主要解释了能源市场的正或负收益。在波动传导方面,研究表明,碳市场是原油、石油、取暖油、柴油和煤油等能源市场传导的好或坏波动的主要净接收者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Energy
Energy 工程技术-能源与燃料
CiteScore
15.30
自引率
14.40%
发文量
0
审稿时长
14.2 weeks
期刊介绍: Energy is a multidisciplinary, international journal that publishes research and analysis in the field of energy engineering. Our aim is to become a leading peer-reviewed platform and a trusted source of information for energy-related topics. The journal covers a range of areas including mechanical engineering, thermal sciences, and energy analysis. We are particularly interested in research on energy modelling, prediction, integrated energy systems, planning, and management. Additionally, we welcome papers on energy conservation, efficiency, biomass and bioenergy, renewable energy, electricity supply and demand, energy storage, buildings, and economic and policy issues. These topics should align with our broader multidisciplinary focus.
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