Research on Trend Forecasting System Utilizing Big Data Network and Information Technology

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Abstract

In this paper, we take big data, the GDP of the United States from 1992 to 2020 as the research object. Through SPSS software analysis and descriptive statistics, we can compare the GDP of Biden and Trump during their tenure. Using big data's analytical technology, the line chart we get visually shows that the election of different candidates will shape different strategic patterns of global economic and financial development. A new comprehensive factor W is obtained from the data that directly reflect the overall GDP of the United States. Finally, by establishing a forecasting model, we can find out the comprehensive event factors that will occur due to different political positions and policy plans between Biden and Trump in the future. In the end, we use the results of big data's analysis to show that Biden's economic plan may increase US GDP growth by 1.2 percentage points in 2021, push GDP growth to 4.9%, and help the US economy recover the economic losses caused by the epidemic in mid-2021.

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Xing, A., Yan, S., Yang, Z., Yan, L., & Yue, R. (2021). Research on Trend Forecasting System Utilizing Big Data Network and Information Technology. In Journal of Physics: Conference Series (Vol. 1982). IOP Publishing Ltd. https://doi.org/10.1088/1742-6596/1982/1/012148

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