IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v77y2025ipbs0275531925002089.html
   My bibliography  Save this article

Stylized facts of GameFi

Author

Listed:
  • Jia, Boxiang
  • Shen, Dehua

Abstract

This paper investigates the stylized facts of GameFi, a rapidly growing segment within the blockchain and gaming industries. Our empirical results show that GameFi exhibits heavy-tail distributions, short-term autocorrelations, volatility clustering and reverse leverage effects. We also observe long-range dependence in both returns and volatility, which suggests that shocks to GameFi markets can have persistent effects over time. By testing the power-law correlation between price and volume, we show that high trading volumes tend to be associated with significant price movements. Hence, our findings highlight that GameFi tokens share several fundamental stylized facts align with traditional financial markets, even though they refer to a relatively new and emerging asset class.

Suggested Citation

  • Jia, Boxiang & Shen, Dehua, 2025. "Stylized facts of GameFi," Research in International Business and Finance, Elsevier, vol. 77(PB).
  • Handle: RePEc:eee:riibaf:v:77:y:2025:i:pb:s0275531925002089
    DOI: 10.1016/j.ribaf.2025.102952
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0275531925002089
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ribaf.2025.102952?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    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:eee:riibaf:v:77:y:2025:i:pb:s0275531925002089. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ribaf .

    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.