GOVERNMENT RESPONSE STRINGENCY INDEX: AN ALTERNATIVE FOR THE VOLATILITY DETERMINING DURING PANDEMICS

O. Panazan, Cătălin Gheorghe
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Abstract

The spread of the Covid-19 virus on all continents has caused a rapid evolution of the volatility of stock indices. To prevent and counteract the effects of this global event, researchers have tried to identify the causes, amplitude, and persistence of volatility. To measure volatility using statistical models, most authors chose the number of illnesses or deaths caused by the Covid-19 virus. However, the method of recording and reporting the number of illnesses and deaths by each state, assumed certain shortcomings reported in the literature. As an alternative, Hale et al. (2021, p. 8) proposed the Government Response Stringency Index (SI). The research proposes the determination of volatility with GARCH and VAR methods using the SI index as a variable. For this purpose, 28 countries from all continents were considered. The analysis period was March 19, 2020 to December 31, 2021. The main findings are: 1) the determination of volatility for 28 analysed countries; 2) some countries show better adaptability to the pandemic; 3) the differences between the volatility calculated with the SI index and the number of illnesses or deaths are small; 4) the links between the markets are stronger in the postcrisis period. Based on these results, comparative analyzes can be carried out between states, geographical areas and continents. Furthermore, the results allow us to appreciate other major events that affected the world capital market.
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政府应对严格程度指数:大流行期间波动性确定的替代方法
Covid-19病毒在各大洲的传播导致股票指数的波动迅速演变。为了防止和抵消这一全球事件的影响,研究人员试图确定波动的原因、幅度和持续时间。为了使用统计模型衡量波动性,大多数作者选择了由Covid-19病毒引起的疾病或死亡人数。然而,记录和报告各州患病和死亡人数的方法存在文献中报告的某些缺陷。作为替代方案,Hale等人(2021,p. 8)提出了政府响应严格指数(SI)。本文提出以SI指数为变量,采用GARCH和VAR方法确定波动率。为此目的,审议了来自各大洲的28个国家。分析期为2020年3月19日至2021年12月31日。主要发现有:1)28个分析国家的波动率的确定;2)一些国家对疫情的适应能力较好;3) SI指数计算的波动率与患病或死亡人数的差异较小;4)后危机时期,市场之间的联系更为紧密。基于这些结果,可以在国家、地理区域和大陆之间进行比较分析。此外,这些结果使我们能够了解影响世界资本市场的其他重大事件。
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