Investigating the Impact of COVID-19 Outbreak On U.S. Stock Market

Achu Dobgima Destin
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Abstract

SARS-Cov-2 was first reported in Wuhan, a town in Hubei Province of China with a population of 11 million in December 2019, following an outbreak of non-pneumonia a clear cause. The world health organization (WHO) described it as a pandemic on 11 March 2020. On the economic front, COVID-19 has led more than 200 countries partial or totally lockdown. The objective of this study is to investigate the impact of COVID-19 on U.S stock market. The objective of this study is to investigate the impact of COVID-19 on U.S stock market. The author uses extreme bound analysis for market interpretation and sourced data from the Federal Reserve Economic Database (FRED) and Our World in Data COVID-19, from January 2 to November 16 2020. The results of the study show that, Foreign Exchange and Stringency Index are the only determinants of Stock Prices from Leamer EBA approach. Again, the normal model show that, Interest Rate, TED spread (i.e. the difference between the 3 months Treasury bill and the 3-month LIBOR based in U.S. dollars), Foreign Exchange, and Stringency Index are robust determinants of Stock Prices while the generic model highlights the importance of TED spread, Foreign Exchange, Stringency Index, Interest Rate. In addition, the correlation matrix show that, Bitcoin, Interest Rate, Foreign exchange and Gold Price have a Positive Impact on Stock Price while Stringency Index and the TED Spread has a negative significant relationship with stock prices.
调查新冠肺炎疫情对美国股市的影响
2019年12月,在非肺炎疫情爆发后,SARS-Cov-2首次在中国湖北省武汉市报告,武汉市有1100万人口。世界卫生组织(世卫组织)于2020年3月11日将其描述为大流行。在经济方面,新冠肺炎疫情已导致200多个国家部分或完全封锁。本研究的目的是调查COVID-19对美国股市的影响。本研究的目的是调查COVID-19对美国股市的影响。作者使用极限界分析进行市场解释,并从2020年1月2日至11月16日的美联储经济数据库(FRED)和我们的数据世界COVID-19中获取数据。研究结果表明,从Leamer EBA方法来看,外汇和严格指数是股票价格的唯一决定因素。同样,正常模型表明,利率、TED价差(即3个月国库券与3个月美元LIBOR之间的差额)、外汇和严格指数是股票价格的稳健决定因素,而通用模型强调了TED价差、外汇、严格指数、利率的重要性。此外,相关矩阵显示,比特币、利率、外汇和黄金价格对股价有正向影响,而紧缩指数和TED价差对股价有显著负向影响。
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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