IDEAS home Printed from https://ideas.repec.org/a/mes/emfitr/v59y2023i1p90-112.html
   My bibliography  Save this article

Ownership Structure, Diversification, and Bank Performance: International Evidence

Author

Listed:
  • Meng-Fen Hsieh
  • Chien-Chiang Lee
  • Meng-Fen Shen

Abstract

This research utilizes ultimate controlling shareholders to examine whether ultimate ownership structure (bank, industrial company, mutual fund, financial company, and state) and/or income diversification affect bank performance via a total sample of 6,053 commercial banks in six regions (advanced countries, Asia, Latin America, the Middle East and North Africa, Sub-Saharan Africa, and Transit countries). First, taking the group of advanced countries for example, banks can increase their profit under the ownership types of banking institution, mutual fund, and financial company, whereas the interaction of income diversity and ownership is negatively linked with bank performance. Second, the ownership types of banking institution and state help reduce banks’ risk taking, but non-interest income diversity is adversely favorable for risk. Third, banks with mutual funds as controlling shareholders exhibit higher risk, while non-interest income diversity mitigates their risk-taking behavior.

Suggested Citation

  • Meng-Fen Hsieh & Chien-Chiang Lee & Meng-Fen Shen, 2023. "Ownership Structure, Diversification, and Bank Performance: International Evidence," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 59(1), pages 90-112, January.
  • Handle: RePEc:mes:emfitr:v:59:y:2023:i:1:p:90-112
    DOI: 10.1080/1540496X.2022.2093103
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1540496X.2022.2093103
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/1540496X.2022.2093103?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 search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhu, Chen & Lee, Chien-Chiang & Hong, Jin & Shi, Xing, 2023. "Multidimensional cultural distance and self-employment of internal migrants in China," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 58-81.
    2. Lee, Chien-Chiang & Wang, Fuhao & Chang, Yu-Fang, 2023. "Does green finance promote renewable energy? Evidence from China," Resources Policy, Elsevier, vol. 82(C).

    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:mes:emfitr:v:59:y:2023:i:1:p:90-112. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/MREE20 .

    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.