The time-varying relationship between climate uncertainty, low-carbon stocks and green bonds

IF 3.9 3区 经济学 Q1 BUSINESS, FINANCE North American Journal of Economics and Finance Pub Date : 2025-03-01 Epub Date: 2025-02-13 DOI:10.1016/j.najef.2025.102387
Ziyao Xu , Deheng Zhou , Junfeng Ma , Jing Yuan
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Abstract

In the context of climate risk, it is crucial to manage the risk of green financial markets well. In this paper, we construct a TVP-SV-VAR model to assess the dynamic impacts of climate uncertainty and climate policy uncertainty on low-carbon stocks and green bonds, and we use a spillover index model based on the TVP-VAR model to assess the spillover effects between them. The results show that the impacts of climate uncertainty and climate policy uncertainty on low-carbon stocks and green bonds are time-varying. In addition, green bonds are subject to smaller spillovers from climate policy uncertainty and climate uncertainty compared to low-carbon stocks. Our findings have important implications for both policymakers and investors.
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气候不确定性、低碳股票和绿色债券之间的时变关系
在气候风险的背景下,管理好绿色金融市场的风险至关重要。本文构建了一个TVP-SV-VAR模型来评估气候不确定性和气候政策不确定性对低碳股票和绿色债券的动态影响,并利用基于TVP-VAR模型的溢出指数模型来评估两者之间的溢出效应。结果表明,气候不确定性和气候政策不确定性对低碳股票和绿色债券的影响具有时变特征。此外,与低碳股票相比,绿色债券受气候政策不确定性和气候不确定性的溢出效应较小。我们的研究结果对政策制定者和投资者都具有重要意义。
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
CiteScore
7.30
自引率
8.30%
发文量
168
期刊介绍: The focus of the North-American Journal of Economics and Finance is on the economics of integration of goods, services, financial markets, at both regional and global levels with the role of economic policy in that process playing an important role. Both theoretical and empirical papers are welcome. Empirical and policy-related papers that rely on data and the experiences of countries outside North America are also welcome. Papers should offer concrete lessons about the ongoing process of globalization, or policy implications about how governments, domestic or international institutions, can improve the coordination of their activities. Empirical analysis should be capable of replication. Authors of accepted papers will be encouraged to supply data and computer programs.
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