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利用智能交通资产对冲化石能源市场:基于分位数向量自回归方法的证据

Using smart transportation assets to hedge fossil energy markets: Evidence from quantile-based VAR approach.

作者信息

Hasan Md Bokhtiar, Hossain Md Naiem, Khatun Hosneara, Uddin Gazi Salah, Bilgin Mehmet Huseyin, Tian Shu

机构信息

Department of Finance and Banking, Islamic University, Kushtia, Bangladesh.

Department of Economics and Finance, University of New Orleans, United States of America.

出版信息

PLoS One. 2025 May 9;20(5):e0317748. doi: 10.1371/journal.pone.0317748. eCollection 2025.

Abstract

This study explores the time-varying correlations and quantile spillover connectedness to identify the hedging potential of smart transportation assets for energy markets. The study finds that amid crises like COVID-19 and the Russia-Ukraine conflict, smart transportation indices demonstrate strong safe-haven characteristics against volatility in equity commodity energy and electricity transmission and distribution infrastructure indices. Additionally, the smart transportation, electric vehicle, and drone indices offer limited hedging benefits and safe-haven attributes for carbon emission allowance and natural gas. Furthermore, smart transportation assets are the major spillover transmitters to fossil energy assets across all quantiles. These outcomes hold substantial implications for environmental advocates, investors, and policymakers.

摘要

本研究探讨时变相关性和分位数溢出连通性,以确定智能交通资产对能源市场的套期保值潜力。研究发现,在新冠疫情和俄乌冲突等危机期间,智能交通指数在应对股票、大宗商品、能源以及输配电基础设施指数的波动方面表现出强大的避险特征。此外,智能交通、电动汽车和无人机指数对碳排放配额和天然气的套期保值益处和避险属性有限。此外,在所有分位数上,智能交通资产都是化石能源资产的主要溢出传导者。这些结果对环保倡导者、投资者和政策制定者具有重大意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7570/12064208/74462c2642df/pone.0317748.g001.jpg

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