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SENTIMENT ANALYSIS OF MAJOR NEWS ANNOUNCEMENTS TO PREDICT THE AGGREGATE MARKET INDICATORS AMID COVID-19 OUTBREAK

Journal: International Journal of Management (IJM) (Vol.11, No. 10)

Publication Date:

Authors : ;

Page : 1504-1513

Keywords : Financial Markets; Sentiment Analysis; Machine Learning; Covid-19;

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Abstract

The COVID-19 Pandemic (a Black Swan event) whose impact on more than 180 countries led to the disruption of certainty. The Corona Virus started its contagious spree from the Chinese city of Wuhan. It impacted healthcare, education system, Corporations, Employment, Production, and the very nature of hygiene and cleanliness. The news of the Contagious Virus hit the Stock Market and other Financial Markets hard indicating the risk in the expected future cash flows. The Stock market nose-dived in March 2020 indicating the sentiment of the general public rather than rational decision making. The fundamentals of Corporations cannot explain such massive drops but the sentiment of the general public can help in explaining such volatility. This Paper highlights and measures the volatility of public sentiment and leverage it to predict the benchmark indices of seven countries amid the Covid-19 pandemic with the help of Machine Learning Algorithms

Last modified: 2021-02-04 17:37:04