From Climate Chat to Climate Shock: Non-Linear Impacts of Transition Risk in Energy CDS Markets

IF 1.5 3区 环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES
Environmetrics Pub Date : 2025-04-01 DOI:10.1002/env.70012
Emanuele Campiglio, Luca De Angelis, Paolo Neri, Ginevra Scalisi
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引用次数: 0

Abstract

It is still unclear to what extent transition risks are being internalized by financial investors. In this paper, we provide a novel investigation of the impact of media-based measures of transition risks on the credit risk of energy companies, as measured by their credit default swaps (CDS) indices. We include both European and North American markets in the 2010–2020 period. Using linear and non-linear local projections, we find that a transition risk shock affects CDS indices only when combined with tangible physical climate-related impacts. We also find evidence of non-linear cross-border effects, with North American energy companies particularly affected by European dynamics. We suggest that the public reaction in the wake of severe climate-related disasters, which might push policymakers to adopt more decisive climate action, contributes to making the transition-related debate salient in the eyes of credit market actors.

Abstract Image

从气候聊天到气候冲击:能源CDS市场转型风险的非线性影响
目前尚不清楚金融投资者将转型风险内部化到何种程度。在本文中,我们对基于媒体的转型风险度量对能源公司信用风险的影响进行了一项新的研究,通过信用违约掉期(CDS)指数来衡量。我们包括了2010-2020年期间的欧洲和北美市场。利用线性和非线性局部预测,我们发现转型风险冲击仅在与有形的物理气候相关影响相结合时才会影响CDS指数。我们还发现了非线性跨境效应的证据,北美能源公司尤其受到欧洲动态的影响。我们认为,在严重的气候相关灾害之后,公众的反应可能会促使政策制定者采取更果断的气候行动,这有助于使与转型相关的辩论在信贷市场参与者的眼中变得突出。
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来源期刊
Environmetrics
Environmetrics 环境科学-环境科学
CiteScore
2.90
自引率
17.60%
发文量
67
审稿时长
18-36 weeks
期刊介绍: Environmetrics, the official journal of The International Environmetrics Society (TIES), an Association of the International Statistical Institute, is devoted to the dissemination of high-quality quantitative research in the environmental sciences. The journal welcomes pertinent and innovative submissions from quantitative disciplines developing new statistical and mathematical techniques, methods, and theories that solve modern environmental problems. Articles must proffer substantive, new statistical or mathematical advances to answer important scientific questions in the environmental sciences, or must develop novel or enhanced statistical methodology with clear applications to environmental science. New methods should be illustrated with recent environmental data.
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