Effects of COVID-19 on the U.S. Stock Market: Evidence from S&P 100 Index

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dc.contributor.authorWan, Ying
dc.date.accessioned2024-01-24T20:04:45Z
dc.date.available2024-01-24T20:04:45Z
dc.date.issued2023-12
dc.descriptionA dissertation submitted in partial fulfillment of the requirements for the degree Doctor of Business Administration
dc.description.abstractThis research evaluated the correlation between COVID-19 and economic variables with the stock market performance, the changing trends in industry sectors, and individual company performance for investment decisions. COVID-19, economic policies, and variables were cointegrated and moved in a unidirectional way that affected the volatility and severely damaged the efficiency of the U.S. stock market. Moreover, COVID-19 and the subsequent government policies affected some industries and companies more than others. This research adopted quantitative method to test the correlation between COVID-19 and economic variables with the index return through a hierarchical regression model and Pearson correlation test. The research also used qualitative method with document and case analysis to study the stock market reaction to COVID-19 at the industry and company levels. The research comprised an economic analysis by collecting data on COVID-19 case numbers, interest rates, and other economic variables to test their correlation, an industry analysis by studying the annual reports of S&P 100 index companies to explore how COVID-19 affected industries differently, and a company analysis of the qualitative and quantitative factors to evaluate investment decision. The research had implications for both investors and policymakers.
dc.identifier.urihttps://hdl.handle.net/20.500.12087/269
dc.language.isoen_US
dc.subjectBusiness Administration
dc.titleEffects of COVID-19 on the U.S. Stock Market: Evidence from S&P 100 Index
dc.typeThesis

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