IDEAS home Printed from https://ideas.repec.org/a/asi/aeafrj/v11y2021i3p219-235id2070.html
   My bibliography  Save this article

Impact of Financial Sector Opacity on the Capital Structure Choice of Asian Banks

Author

Listed:
  • Khalil Ullah Mohammad
  • Shin-Ichi Nishiyama

Abstract

This study investigates the role of market imperfections on the optimal capital structure choice of value maximizing banks, by investigating the impact of information asymmetry on bank liabilities. Random effects estimation (GLS) is used to test the effect of market imperfections on the capital structure of banks by employing 7 years of unbalanced panel data from the largest 15 countries of Asia based on GDP. The study finds evidence of specific individual characteristics impacting the capital structure of Asian banks. However, banking sector market imperfections are also found to play a major role in the capital structure choice of banks. In the presence of a high level of information asymmetry between the bank and the depositor, the bank retains a lower than optimal capital ratio. Transparent banks may be successful in achieving the optimal leverage, consequently lowering their capital cost. Evidence suggests a need to reduce banking sector opacity regarding their risk exposures. To ensure banking sector stability, stronger capital requirements need to be imposed on banks in those Asian countries where information asymmetry is high. The limitations of the study include limited data and the choice of information asymmetry proxies. Future research can address this limitation by employing additional proxies for information asymmetry and increasing the number of countries.

Suggested Citation

  • Khalil Ullah Mohammad & Shin-Ichi Nishiyama, 2021. "Impact of Financial Sector Opacity on the Capital Structure Choice of Asian Banks," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 11(3), pages 219-235.
  • Handle: RePEc:asi:aeafrj:v:11:y:2021:i:3:p:219-235:id:2070
    as

    Download full text from publisher

    File URL: https://archive.aessweb.com/index.php/5002/article/view/2070/3301
    Download Restriction: no

    File URL: https://archive.aessweb.com/index.php/5002/article/view/2070/7365
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Khalil Ullah Mohammad & Mohsin Raza Khan, 2021. "Bank Capital Structure Dynamics and Covid-19: Evidence from South Asia," iRASD Journal of Economics, International Research Alliance for Sustainable Development (iRASD), vol. 3(3), pages 293-304, December.

    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:asi:aeafrj:v:11:y:2021:i:3:p:219-235:id:2070. 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: Robert Allen (email available below). General contact details of provider: https://archive.aessweb.com/index.php/5002/ .

    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.