• ISSN: 2301-3567 (Print), 2972-3981 (Online)
    • Abbreviated Title: J. Econ. Bus. Manag.
    • Frequency: Quarterly
    • DOI: 10.18178/JOEBM
    • Editor-in-Chief: Prof. Eunjin Hwang
    • Executive Editor: Ms. Fiona Chu
    • Abstracting/ Indexing:  CNKI, Google Scholar, Electronic Journals Library, Crossref, Ulrich's Periodicals Directory, MESLibrary, etc.
    • E-mail: joebm.editor@gmail.com
JOEBM 2023 Vol.11(2): 68-76
DOI: 10.18178/joebm.2023.11.2.740

Based on Multiple Linear Regression Model, Analyze the Influencing Factors of New Energy Vehicle Stock

Abstract—With the public’s awareness of environmental protection, new energy vehicles have been favored by more and more consumers. However, in the development process of new energy, in fact, there are risks caused by the fluctuation of many influencing factors. Therefore, how to formulate reasonable technological development routes and market strategies according to China’s actual situation and combined with the characteristics of new energy vehicle technology, so increase international competitiveness and increase stock market value has become an important topic for the development of China’s new energy vehicle industry. First, this paper combines domestic and foreign representative companies of the new energy vehicle industry to analyze the industry status quo. Secondly, it analyzes the strategic environment for the development of new energy automobile industry. In the process of research, the influence hypothesis of China Consumer Price Index (CPI), Exchange rate (USD-CNY) and the company’s net profit on the company’s stock price was put forward. Taking Tesla, BYD and NIO as examples, SPSS software was used to analyze the data from January 2021 to October 2022. Multiple linear regression analysis was conducted by using China CPI, Exchange rate (USD-CNY) and the company’s net profit as independent variables. The hypothesis is proved and disproved by BETA coefficient, and the influence of three variables on the company’s stock price and its reasons are analyzed. Finally, it puts forward some policy suggestions to enhance the international competitiveness of the new-energy automobile industry.

Index Terms—New energy vehicles, multiple linear regression model, consumer price index, exchange rate, net profit

Jinyi Zha is with the Cambridge International Exam Centre in Shanghai Experimental School, Shanghai Municipality, CO 201210 China. E-mail: christinajinyi@163.com.


Cite:Jinyi Zha, "Based on Multiple Linear Regression Model, Analyze the Influencing Factors of New Energy Vehicle Stock," Journal of Economics, Business and Management vol. 11, no. 2, pp. 68-76, 2023.

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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