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.

Details

Title
Research on Trend Forecasting System Utilizing Big Data Network and Information Technology
Author
Xing, An 1 ; Shi, Yan 1 ; Zang, Yang 2 ; Lu, Yan 3 ; Ren, Yue 4 

 College of Science, Lanzhou University of Technology, Lanzhou, Gansu, 730050 
 School of Civil Engineering, Lanzhou University of Technology, Lanzhou, Gansu, 730050 
 College of Petrochemical Technology, Lanzhou University of Technology, Lanzhou, Gansu, 730050 
 Faculty of Law, Lanzhou University of Technology, Lanzhou, Gansu, 730050 
Publication year
2021
Publication date
Jul 2021
Publisher
IOP Publishing
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2557523500
Copyright
© 2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.