IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-15-4944-1_7.html
   My bibliography  Save this book chapter

Stock Ownership Structure in Japan

In: Big Data Analysis on Global Community Formation and Isolation

Author

Listed:
  • Haruka Kato

    (Niigata University)

  • Yuichi Kichikawa

    (Faculty of Science Niigata University)

  • Hiroshi Iyetomi

    (Faculty of Science Niigata University
    The Canon Institute for Global Studies)

  • Wataru Souma

    (Nihon University)

Abstract

We analyze the stock ownership relations in Japan during the period of 2000–2008 from a network theory point of view. The ownership network has a typical bow-tie structure which is rather stable throughout the period. Most of the listed firms constitute a giant strongly-connected component (GSCC). The existence of the GSCC indicates that there exist complicated multilateral cross-ownership structures in Japan. We then find that firms are classified into three groups with different characteristics in the shareholders’ distribution. The Helmholtz–Hodge decomposition eliminates the circular ownership relations in the GSCC to allow us to determine ultimate owners of listed firms. We also devise a new measure to evaluate the additional value of firms, coined hierarchical value, arising from interfirm ownership relations in the hierarchical structure. As the GSCC is not uniform at all, we decompose the central core into communities to elucidate characteristics of dominant communities.

Suggested Citation

  • Haruka Kato & Yuichi Kichikawa & Hiroshi Iyetomi & Wataru Souma, 2021. "Stock Ownership Structure in Japan," Springer Books, in: Yuichi Ikeda & Hiroshi Iyetomi & Takayuki Mizuno (ed.), Big Data Analysis on Global Community Formation and Isolation, pages 191-216, Springer.
  • Handle: RePEc:spr:sprchp:978-981-15-4944-1_7
    DOI: 10.1007/978-981-15-4944-1_7
    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 search for a similarly titled item that would be available.

    More about this item

    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:sprchp:978-981-15-4944-1_7. 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.