IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-748-9_15.html

Valuation Models and Stock Valuation: Evidence from E-commerce Industries

In: Proceedings of the 2025 International Conference on Financial Risk and Investment Management (ICFRIM 2025)

Author

Listed:
  • Sihan Wei

    (Shanghai University of International Business and Economics, Finance Management School)

Abstract

This study analyses the valuation of two e-commerce giants, Amazon and Alibaba, using the price-earnings ratio model and the Free Cash Flow Equity model (FCFE). According to the P/E model, Amazon’s stock has a high appreciation potential with a reasonable share price of $229.69 after 5 years, while Alibaba’s share price is expected to fall to $67.02. The free cash flow equity model shows that Amazon’s stock has high appreciation potential, with a reasonable share price of $229.69 after 5 years. The free cash flow equity model shows that Amazon’s current stock price is undervalued, with an intrinsic value of $172.34 per share, while Alibaba’s intrinsic value of $138.45 per share is also undervalued. The valuation difference between the two models is mainly due to different model assumptions and political uncertainty. Over the long term, Amazon stock is expected to make good returns. Alibaba has cross-market arbitrage opportunities. There are significant differences between the two companies in terms of target markets, product portfolios, and market competition. Amazon is more focused on the North American and European markets with a relatively concentrated product line. Alibaba, on the other hand, focuses on the Chinese and Asia-Pacific markets and has a more diversified business. This study provides investors with in-depth analyses and investment recommendations on these two e-commerce giants.

Suggested Citation

  • Sihan Wei, 2025. "Valuation Models and Stock Valuation: Evidence from E-commerce Industries," Advances in Economics, Business and Management Research, in: Maizaitulaidawati Md Husin (ed.), Proceedings of the 2025 International Conference on Financial Risk and Investment Management (ICFRIM 2025), pages 124-133, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-748-9_15
    DOI: 10.2991/978-94-6463-748-9_15
    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:978-94-6463-748-9_15. 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.