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- W4387428103 abstract "The Covid-19 pandemic has been an unusual event that broke out in late 2019. Researchers have found that this event had led to huge changes to the extent that technology acts in people’s daily life during such time period, but whether this performance will last for the post-pandemic era needs more investigations. Therefore, this paper is going to investigate the impact of the epidemic on the technology sector in the U.S. by collecting data before and during the pandemic from the technology sector in NASDAQ 100 and make analyses and forecasts using time series models. Through comparisons, the ARIMA model is considered the relatively more ideal forecasting method for assisting in showing the impact of the epidemic on the technology stock prices while at the same time predicting the possible trend for the post-pandemic era. The result shows that the trend is likely to show an increasing trend but more likely to return to the state where it used to be before the pandemic. The huge variations during the epidemic have added a great degree of uncertainties to the predictions so that the model results in a downward sloping curve but with a large prediction interval range." @default.
- W4387428103 created "2023-10-08" @default.
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- W4387428103 date "2023-01-01" @default.
- W4387428103 modified "2023-10-09" @default.
- W4387428103 title "The Impact of the Covid-19 Pandemic on the Technology Sector of US Stock Market Using Time Series Model" @default.
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- W4387428103 doi "https://doi.org/10.1007/978-981-99-6441-3_101" @default.
- W4387428103 hasPublicationYear "2023" @default.
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