IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6239-701-9_45.html

The Impact of Industrial Network Structure on Insider Trading

In: Proceedings of the 2026 11th International Conference on Social Sciences and Economic Development (ICSSED 2026)

Author

Listed:
  • Jingpin Yuan

    (Huazhong University of Science and Technology, School of Economics)

Abstract

Opportunistic share reduction by executives is an insider trading behavior reflecting short-termism, influenced by trade information within industrial networks of the real economy. How to effectively prevent such practices to maintain market fairness and stability warrants exploration. Using social network analysis methods and data from Chinese A-share listed companies, this study investigates whether opportunistic share reduction by executives is affected by the position of their industry within industrial networks. Findings reveal that companies located at the center of industrial networks are more prone to opportunistic share reduction by executives. This study not only offers an industrial network perspective for examining the motivations behind insider trading behaviors like opportunistic share sales by executives but also delves into the mechanisms of information asymmetry within industrial networks. It provides valuable practical insights for preventing and governing insider trading, protecting the interests of investors, and promoting the healthy and stable development of China's capital markets.

Suggested Citation

  • Jingpin Yuan, 2026. "The Impact of Industrial Network Structure on Insider Trading," Advances in Economics, Business and Management Research, in: Joanna Rak & Md Rabiul Islam & Noralina Omar & Dragana Ostic (ed.), Proceedings of the 2026 11th International Conference on Social Sciences and Economic Development (ICSSED 2026), pages 436-442, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6239-701-9_45
    DOI: 10.2991/978-94-6239-701-9_45
    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:978-94-6239-701-9_45. 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.