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The Frontiers of Society, Science and Technology, 2021, 3(7); doi: 10.25236/FSST.2021.030705.

Analysis of the Economic Impact of the US Presidential Candidates on the United States and China

Author(s)

Liuyuan Jiang1, Mingze Wu2, Yunqi Liu2

Corresponding Author:
Liuyuan Jiang
Affiliation(s)

1Financial Mathematics, Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu, 215000, China

2Information and Computing Science, Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu, 215000, China

Abstract

In order to analyze the possible impact of the election of different candidates in the U.S. general election on the U.S. economy and the Chinese economy, and put forward economic countermeasures and policy recommendations in related fields in China, this paper applies two models, Time Series Model and BP Neural Network.

Keywords

GDP; Time Series Model; BP Neural Network

Cite This Paper

Liuyuan Jiang, Mingze Wu, Yunqi Liu. Analysis of the Economic Impact of the US Presidential Candidates on the United States and China. The Frontiers of Society, Science and Technology (2021) Vol. 3, Issue 7: 23-30. https://doi.org/10.25236/FSST.2021.030705.

References

[1] Jason Fernando, Gross Domestic Product (GDP)(2020), https://www.investopedia.com/terms/g/gdp.asp, Nov. 29.

[2] Selva Prabhakaran(2020), ARIMA Model – Complete Guide to Time Series Forecasting in Python, https://www.machinelearningplus.com/time-series/arima-model-time-series-forecasting-python/, Nov. 27.

[3] Statista(2020), https://www.statista.com/markets/, Nov. 29.

[4] National Bureau of Statistics(2020), http://www.stats.gov.cn/, Nov. 29.