Do climate change and geopolitical risk influence volatility? Empirical evidence from leading economies.

IF 8.4 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Saroj S Prasad, Veerma Puri, Priti Bakhshi
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引用次数: 0

Abstract

Our study addresses the two novel objectives: 1) to study the impact of global climate change on stock market volatility, and 2) to study the impact of geopolitical risk on stock market volatility. With 21 years of high-frequency daily stock market returns data for the ten most influential economies encompassing the period from January 2003 to December 2022 (available until December 2022), we find high volatility in the stock markets of Italy, the United Kingdom and Germany due to global climate change and high volatility in the Indian stock market due to geopolitical uncertainty, while the USA and Japan are seen with volatility dampening due to geopolitical uncertainty. Due to the mixed-frequency datasets of dependent and independent variables, we employ the novel GARCH-MIDAS methodology to estimate our results. The originality of our study lies in the adoption of a novel methodology and the creation of a high-frequency dataset for 21 years during which the world has witnessed major geopolitical and climatic disruptions. Our results call for major policy interventions by governments worldwide to mitigate the risks posed by global climate change, adopt more stringent regulations to manage geopolitical uncertainty, and stabilize their financial markets. Additionally, this analysis extends the discussion beyond generic conclusions and provides more discerning policy implications concerning the unique vulnerabilities and resilience factors that each economy is endowed with. Overall, our study has larger implications and calls for international cooperation by the countries to design effective policies to address these pressing issues.

气候变化和地缘政治风险会影响波动性吗?来自主要经济体的经验证据。
我们的研究解决了两个新的目标:1)研究全球气候变化对股市波动的影响,2)研究地缘政治风险对股市波动的影响。根据2003年1月至2022年12月(截止到2022年12月)10个最具影响力经济体21年的高频每日股票市场回报数据,我们发现意大利、英国和德国股市由于全球气候变化而出现高波动,印度股市由于地缘政治不确定性而出现高波动,而美国和日本股市由于地缘政治不确定性而出现波动抑制。由于因变量和自变量的混合频率数据集,我们采用新颖的GARCH-MIDAS方法来估计我们的结果。我们研究的独创性在于采用了一种新颖的方法,并创建了21年的高频数据集,在此期间,世界见证了重大的地缘政治和气候破坏。我们的研究结果呼吁世界各国政府采取重大政策干预措施,以减轻全球气候变化带来的风险,采用更严格的法规来管理地缘政治不确定性,并稳定其金融市场。此外,该分析将讨论扩展到一般性结论之外,并就每个经济体所具有的独特脆弱性和恢复力因素提供了更具洞察力的政策含义。总的来说,我们的研究具有更大的意义,并呼吁各国进行国际合作,制定有效的政策来解决这些紧迫的问题。
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
Journal of Environmental Management
Journal of Environmental Management 环境科学-环境科学
CiteScore
13.70
自引率
5.70%
发文量
2477
审稿时长
84 days
期刊介绍: The Journal of Environmental Management is a journal for the publication of peer reviewed, original research for all aspects of management and the managed use of the environment, both natural and man-made.Critical review articles are also welcome; submission of these is strongly encouraged.
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