IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v90y2026ics1544612325026765.html

Digital finance development and pricing efficiency of enterprise data assets

Author

Listed:
  • Wang, Yaqi
  • Shan, Zidan
  • Zhang, Shuchen

Abstract

Data is a key component of corporate assets and have important implications for firm valuation. Grounded in an extensive sample covering listed firms in China between 2015 and 2024, this study demonstrates that digital finance development can greatly enhance the pricing efficiency of firms’ data assets. The positive effect is larger for digitally-intensive firms and those operating in data-driven industries. Mechanism tests reveal that enhanced information disclosure and reduced financial frictions associated with enterprise data are vital mediators. The findings remain valid under a series of econometric estimations. Overall, this research enriches the literature on asset pricing and digital economics.

Suggested Citation

  • Wang, Yaqi & Shan, Zidan & Zhang, Shuchen, 2026. "Digital finance development and pricing efficiency of enterprise data assets," Finance Research Letters, Elsevier, vol. 90(C).
  • Handle: RePEc:eee:finlet:v:90:y:2026:i:c:s1544612325026765
    DOI: 10.1016/j.frl.2025.109427
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612325026765
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2025.109427?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:finlet:v:90:y:2026:i:c:s1544612325026765. 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/frl .

    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.