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- W3202053595 abstract "In the current period of time, when there is havoc across the world due to COVID-19 virus outbreak, it becomes very important to foresee the impact of this scenario on the world economy. This has attracted us to analyze and predict the stock market prices of some international IT international companies which provide employment to thousands of people and create revenue for many countries namely Google, Microsoft, Apple and Amazon. In this study we have implemented algorithms such as SVM and LSTM on stock market data to see if major IT companies see a rise or fall during the COVID-19 pandemic. This paper provides a simple but original statistical analysis of the impact of the COVID-19 pandemic on stock market risk for 4 major IT companies of the world. Results revealed that while some businesses like person computers from Microsoft, I phone handsets, sale of luxury and fashion goods at Amazon has reduced thus leading to fall of stocks. But along with the time some prominent other segments like online shopping, cloud computing and streaming video from Amazon, oversees Office, Dynamics, Skype, LinkedIn Intelligent Cloud from Microsoft, Google's ads sales during the crisis and issue of cheap bonds by Apple came out to be the winning corporate strategies to fight the negative economic effect of COVID-19 and to stabilize the situation of stocks in coming months. This study may help investors and companies to sustain the tide of economic fall." @default.
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- W3202053595 date "2021-01-01" @default.
- W3202053595 modified "2023-09-28" @default.
- W3202053595 title "Comparative Analysis of Machine Learning Algorithms for Stock MarketPrediction during Covid-19 Outbreak" @default.
- W3202053595 hasPublicationYear "2021" @default.
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