IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-319-70055-7_24.html
   My bibliography  Save this book chapter

The Dynamic Effect of Bank Size on Earnings Volatility in Iranian Banking System

In: Advances in Panel Data Analysis in Applied Economic Research

Author

Listed:
  • Mahshid Shahchera

    (Monetary and Banking Research Institute)

  • Fatemeh Noorbakhsh

    (Monetary and Banking Research Institute)

Abstract

The importance of earnings volatility in banking system has long been accepted in the accounting and finance literature. Earnings volatility has an effect either through its relation to the discount rate or expected cash flows (earnings) in assessment models. Most of the studies have been focused on the relationship between cost of capital and earnings volatility. One established result is a positive relationship between earnings volatility and different measures in cost of capital. (J Money Credit Banking 29:300–313, 1997) state that large banks have more risky revenues than small banks; therefore, the degree of risky revenues is linked to bank size and type of bank. For this reason, we use Herfindahl-Hirshman index (HHI) and dummy variables for different types of banks in order to examine the relationship between earnings volatility and bank size in Iran. We find that bank size is negatively related to earnings volatility; therefore, larger banks have lower earnings volatility compared to smaller banks. We use dummy variables in order to consider the relationship between bank type and earnings volatility. We identify different results according to different types of banks because state banks and specialized banks have positive impact on earnings volatility, while private and privatized banks have negative effects on earnings volatility. Therefore, state banks and specialized banks have more risky revenues, while private and privatized banks have less risky revenues.

Suggested Citation

  • Mahshid Shahchera & Fatemeh Noorbakhsh, 2018. "The Dynamic Effect of Bank Size on Earnings Volatility in Iranian Banking System," Springer Proceedings in Business and Economics, in: Nicholas Tsounis & Aspasia Vlachvei (ed.), Advances in Panel Data Analysis in Applied Economic Research, chapter 0, pages 311-324, Springer.
  • Handle: RePEc:spr:prbchp:978-3-319-70055-7_24
    DOI: 10.1007/978-3-319-70055-7_24
    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.

    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:prbchp:978-3-319-70055-7_24. 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.