IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-098-5_82.html

Analysis of Influencing Factors in The New Energy Automobile Industry Based on Linear Regression Models

In: Proceedings of the 2022 4th International Conference on Economic Management and Cultural Industry (ICEMCI 2022)

Author

Listed:
  • Peiyao Tong

    (North china electric power university, Electrical Engineering and its Automation)

Abstract

In today's world, environmental protection is being valued by more and more people. Under this circumstance, the new energy vehicle market is booming. This passage examines the impact of three influencing factors on the share prices of NIO and Tesla, two new energy vehicle companies from China and the United States, from September 2020 to April 2022. The three influencing factors are China's domestic CPI, the exchange rate of the renminbi against the US dollar and the price of Brent crude oil futures and drew the conclusion that CPI and the brent oil price both have negative impact on the stock price of NIO company. the CPI and the exchange rate between Chinese Yuan and US dollar both have negative impact on the stock price of Tesla, however, the brent oil price has positive impact on that of Tesla.

Suggested Citation

  • Peiyao Tong, 2023. "Analysis of Influencing Factors in The New Energy Automobile Industry Based on Linear Regression Models," Advances in Economics, Business and Management Research, in: Hrushikesh Mallick & Gaikar Vilas B. & Ong Tze San (ed.), Proceedings of the 2022 4th International Conference on Economic Management and Cultural Industry (ICEMCI 2022), pages 720-730, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-098-5_82
    DOI: 10.2991/978-94-6463-098-5_82
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:advbcp:978-94-6463-098-5_82. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.