IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-036-7_102.html

Forecasting Cash for Companies-The Case of CATL

In: Proceedings of the 2022 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022)

Author

Listed:
  • Chenming Dai

    (Shandong University, School of Business)

  • Jiayi Liu

    (Wuhan University of Technology, School of International Education)

  • Tianyue Zhou

    (East China University of Political Science and Law, School of Business)

Abstract

CATL, as a provider of power batteries, is now regarded at the top of the world. It is not only a company in hot business that responds to carbon neutralization policy but also a high-value stocks concerned by investors. However, it is now faced with fierce market competition and many uncertainties. Our paper has identified and analyzed uncertainties like more intense competition and exploration of new business to see what will happen owing to these issues. We researched for ample information about the possible future condition for CATL from resources like the official website of the company, research reports from financial experts, and also financial database. Then, we forecasted by including the possible future market share and new business-battery swap business. After that, several autoregression models (Applicated Software: Stata & Excel) were established to forecast required accounting items such as capital expenditure and debt issuance and finally we got the simulated future cash flow statement of CATL. Based on the simulation, we analyzed future cash conditions for CATL influenced by the new market structure and battery swap business, concluding that this company won’t face liquidity problems. In general, our paper conducted a forecast of CATL’s future cash condition based on the predicted situation. More importantly, we emphasize the significance of cash forecast and management because forecasting in advance will be beneficial for corporations to deal with predicted troubles and then grow sustainably. Since our simulation method is easy-understanding and convenient-for-use, it can be applied by most companies to forecast future financial situations as well.

Suggested Citation

  • Chenming Dai & Jiayi Liu & Tianyue Zhou, 2022. "Forecasting Cash for Companies-The Case of CATL," Advances in Economics, Business and Management Research, in: Yushi Jiang & Yuriy Shvets & Hrushikesh Mallick (ed.), Proceedings of the 2022 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022), pages 687-696, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-036-7_102
    DOI: 10.2991/978-94-6463-036-7_102
    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:978-94-6463-036-7_102. 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.