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Mao,Z.;Wu,R.;Dong,Z.;Zhang,X. (2024). Analysis of the Medical Industry in the Stock Market under the Influence of the Pandemic in China. Advances in Economics, Management and Political Sciences,89,104-113.
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Analysis of the Medical Industry in the Stock Market under the Influence of the Pandemic in China

Ziyue Mao *,1, Ruixiang Wu 2, Zhao Dong 3, Xian Zhang 4
  • 1 Hamden Hall Country Day School, Hamden, CT, 06517, United States
  • 2 2International School, Beijing University of Post and Telecommunications, Beijing, 102206, China
  • 3 Applied Physics, Huaiyin Institute of Technology, Huaian, 223003, China
  • 4 Department of Mathematics and Computer Science, Guangdong Technion- Israel Institute of Technology, Shantou, 515063, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2754-1169/89/20231441

Abstract

This paper is working to analyze the influence of COVID-19 on the medical industry in China’s stock market. Because the pandemic has influenced our society and development impressively, using statistical methods to analyze its influence is a necessary method to estimate the risk of investment. Some common statistic analyzing methods, the ARIMA model and GARCH model, will be used in this paper, and the data of the stock price of a medical manufacturing company Zhangzhou Pientzhng Phrmctcl Co Ltd during the COVID-19 is collected and introduced in the models. Meanwhile, machine learning is also implemented in the prediction and analysis of the data. The results of these two models both demonstrate the high volatility in the stock market under the influence of pandemic, which is meaningful for further research about the risks of future investment in medical industry of China’s stock market.

Keywords

ARIMA model, GARCH model, Medical industry, Machine learning

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Cite this article

Mao,Z.;Wu,R.;Dong,Z.;Zhang,X. (2024). Analysis of the Medical Industry in the Stock Market under the Influence of the Pandemic in China. Advances in Economics, Management and Political Sciences,89,104-113.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 3rd International Conference on Financial Technology and Business Analysis

Conference website: https://www.icftba.org/
ISBN:978-1-83558-475-0(Print) / 978-1-83558-476-7(Online)
Conference date: 4 December 2024
Editor:Ursula Faura-Martínez
Series: Advances in Economics, Management and Political Sciences
Volume number: Vol.89
ISSN:2754-1169(Print) / 2754-1177(Online)

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