捕捉能源市场的对称和不对称波动:COVID疫情期间的证据

IF 2.5 Q3 BUSINESS
Sabia Tabassum, M. Yadav, Sangeeta Yadav, A. Al-Qudah
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引用次数: 1

摘要

本研究的目的是捕捉2019冠状病毒病和俄罗斯-乌克兰入侵期间印度和美国能源市场的对称和不对称波动。为了区分COVID-19和俄罗斯-乌克兰入侵权属,考虑了2022年12月31日至2月23日和2022年2月24日至2023年1月期间。在印度,原油和天然气的替代品分别是MCX ICOMDEX (MCICRD)和MCX ICOMDEX (MNGc1)。印度原油和天然气的代理分别为MCX ICOMDEX (MCICRD)和MCX ICOMDEX (MNGc1),美国原油和天然气的代理分别为BZ:NMX和NGH2。采用标准广义自回归条件异方差和指数广义自回归条件异方差来捕捉波动率。我们观察到,每个序列都捕获了来自COVID-19疫情和俄罗斯-乌克兰入侵的新信息,因为这些序列的alpha值是正的且显著的。此外,这些序列的波动性具有持续性,它们的贝塔值为正且显著,但杠杆效应仅在俄罗斯-乌克兰入侵印度原油市场时出现。本文为政策制定者、投资者和投资组合经理提供了启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Capturing Symmetrical and Asymmetrical Volatility in the Energy Market: Evidence of COVID Outbreak Tenure
The purpose of this study is to capture the symmetrical and asymmetrical volatility of the energy market in India and USA during COVID-19 and Russia–Ukraine invasion. To distinguish between COVID-19 and Russia–Ukraine invasion tenure, the periods 31 December to 23 February 2022 and 24 February 2022 to January 2023 were considered. The proxies for crude oil and natural gas in India are MCX ICOMDEX (MCICRD) and MCX ICOMDEX (MNGc1), respectively. The proxies for crude oil and natural gas in India are MCX ICOMDEX (MCICRD) and MCX ICOMDEX (MNGc1) respectively while BZ:NMX and NGH2 are taken to measure the US crude oil and natural gas respectively. The standard generalized autoregressive conditional heteroscedasticity and exponential generalized autoregressive conditional heteroscedasticity are employed to capture the volatility. We observe that each series captures the new information derived from the COVID-19 outbreak and Russia–Ukraine invasion as the alpha values of these series are positive and significant. Additionally, there is the persistence of the volatility in these series as their beta values are positive and significant but leverage effect is only found during Russia–Ukraine invasion in Indian crude oil market. This article offers implications to policy makers, investors and portfolio managers.
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来源期刊
CiteScore
5.40
自引率
11.50%
发文量
68
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