IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v13y2025i4p666-d1593953.html
   My bibliography  Save this article

Discrete Information Acquisition in Financial Markets

Author

Listed:
  • Jingrui Pan

    (School of Economics and Management, Beihang University, Beijing 100191, China)

  • Shancun Liu

    (School of Economics and Management, Beihang University, Beijing 100191, China)

  • Qiang Zhang

    (School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China)

  • Yaodong Yang

    (Institute for Artificial Intelligence, Peking University, Beijing 100871, China)

Abstract

We study investors’ information acquisition strategies under arbitrary and discrete sets of information precision and derive conditions for the existence of equilibria. When investors face information choice from general precision sets, despite their homogeneity, the information market can exhibit asymmetric corner equilibria, where some investors acquire low-precision information and others acquire high-precision information. Conversely, in the case of high-precision sets, there is a symmetric and unique interior equilibrium where all informed agents opt for the same precision level. Furthermore, the impact of information technologies on price informativeness is uncertain: an improvement in information quality tends to reduce price informativeness due to more investors’ free ride on prices, whereas a reduction in information costs enhances price informativeness by encouraging more investors to acquire information. Our analysis has implications on the prevailing trend of robo-advising and the herding behavior of analysts.

Suggested Citation

  • Jingrui Pan & Shancun Liu & Qiang Zhang & Yaodong Yang, 2025. "Discrete Information Acquisition in Financial Markets," Mathematics, MDPI, vol. 13(4), pages 1-34, February.
  • Handle: RePEc:gam:jmathe:v:13:y:2025:i:4:p:666-:d:1593953
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/13/4/666/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/13/4/666/
    Download Restriction: no
    ---><---

    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:gam:jmathe:v:13:y:2025:i:4:p:666-:d:1593953. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.