COVID-19 大流行病、石油价格和沙特股市:ARDL 模型和 Bayer-Hanck 协整方法提供的经验证据

IF 2.9 Q2 BUSINESS
Jamel Boukhatem, Ali M. Alhazmi
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引用次数: 0

摘要

2020 年,全球经历了几件大事,包括冠状病毒(COVID-19)大流行和国际原油价格暴跌。这种大流行病的迅速蔓延对全球金融市场产生了巨大影响,从而以次贷金融危机以来前所未有的方式加剧了市场的风险规避。股票市场的下跌意味着股票和石油价格的波动,从而加剧了全球金融市场的动荡,尽管进行了全面和实质性的金融改革。为此,我们根据 2020 年 1 月 1 日至 2022 年 9 月 19 日期间的每日数据,在控制石油价格的情况下,研究了这一流行病对沙特股市可能产生的影响。为了确定变量之间是否存在长期均衡关系,我们采用了自回归分布滞后(ARDL)模型和误差修正模型,最终发现长期内存在较强的协整关系。通过综合协整检验发现,ARDL 边界检验是稳健的,从而进一步证明了长期的密切关系。格兰杰因果检验也证明变量之间存在双向因果关系。总 COVID-19 证实了案例,石油价格在短期内也会引起股票回报率的变动。我们的研究结果对资产管理者和政策制定者提高股票市场效率和促进全球经济活动有一些突出的影响。因此,沙特当局可以消除发展股票市场的监管和法律障碍,更好地改善风险管理,从而能够对任何油价波动做出快速决策。政策制定者还应采取积极主动的策略,缓解股票投资者对油价波动加剧的焦虑。最后,由于样本量和测试的统计推断有限,我们应该谨慎对待这些研究结果。尽管如此,这些研究确实为进一步研究提供了机会,可以更详细地了解 COVID-19 大流行在短期和长期内如何影响沙特阿拉伯的货币和财政政策协调、金融稳定性以及其他各种宏观经济指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

COVID-19 pandemic, oil prices and Saudi stock market: empirical evidence from ARDL modeling and Bayer–Hanck cointegration approach

COVID-19 pandemic, oil prices and Saudi stock market: empirical evidence from ARDL modeling and Bayer–Hanck cointegration approach

In 2020, the world experienced several significant events, including the coronavirus (COVID-19) pandemic and the collapse of international crude oil prices. The rapid spread of this pandemic has dramatic impacts on financial markets all over the world, thereby increasing market risk aversion in an unprecedented way since the subprime financial crisis. The decline in stock markets implied volatilities of equity and oil prices, thereby heightening turmoil in global financial markets despite comprehensive and substantial financial reforms. To this end, we investigated the likely effects of this pandemic on the Saudi stock market while controlling for oil prices based on daily data for a period from 1/1/2020 to 19/9/2022. To ascertain the existence of a long-run equilibrium relationship between the variables, we applied autoregressive distributed lag (ARDL) modeling and the error correction model, with this ultimately revealing the existence of strong cointegration in the long run. The ARDL bounds test was found to be robust by combined cointegration tests, thus providing further evidence of a strong relationship in the long run. Granger causality tests also yielded evidence of causality between the variables in both directions. The total COVID-19 confirmed cases and oil prices also caused movements in stock returns in the short run. Our findings have some prominent implications for asset managers and policymakers to improve stock market efficiency and boost global economic activity. Saudi authorities can consequently remove the regulatory and legal obstacles to develop their stock market and better improve the risk management, which will allow to make quick decisions in response to any oil price volatilities. Policymakers should also adopt proactive strategies that can comfort stock investors’ anxieties over the increasing oil price volatilities. Finally, the findings should be treated with some cautions because of the limited sample size and the tests’ statistical inference. Nevertheless, they do open opportunities for further studies to look in more detail at how the COVID-19 pandemic affected, over the short and long run, monetary and fiscal policy coordination, financial stability, and various other macroeconomic indicators in Saudi Arabia.

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