Using Data Mining Technique to Measure the Impact of COVID-19: 1st Wave on the Stock Market of Top Fifteen Affected Countries

Zubair Akbar
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引用次数: 1

Abstract

The pandemic of Covid-19 which started in the year 2019 did not just cause an effect on the living of millions of people but in the economic and social sectors of every part of the world as well. It is a challenging task to determine the interrelation between COVID-19 cases concerning the economy in the top affected countries. This paper explores; how severe Impact of COVID-19 1st wave on the economic facets of Pakistan as compared to the Top Fifteen affected countries. Moreover, this paper uses COVID-19 well-known dataset provided by John Hopkins and Stock Market Datasets collectively to carry out the critical analysis successfully. We found a relationship between the cumulative numbers of confirmed cases in each country with a declining state of countries' economies: the higher decline in the stock market indicates a higher number of confirmed cases.
利用数据挖掘技术衡量COVID-19:第一波对前15个受影响国家股市的影响
2019年开始的新冠肺炎大流行不仅影响了数百万人的生活,也影响了世界各地的经济和社会部门。确定疫情最严重国家的疫情与经济之间的相互关系是一项具有挑战性的任务。本文探讨;与前15个受影响国家相比,2019冠状病毒病第一波疫情对巴基斯坦经济方面的影响有多严重。此外,本文使用John Hopkins提供的COVID-19知名数据集和Stock Market Datasets共同进行了批判性分析。我们发现,每个国家的累计确诊病例数与国家经济衰退之间存在关系:股市跌幅越大,确诊病例数就越多。
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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