IDEAS home Printed from https://ideas.repec.org/a/mbr/jmbres/v7y2015i22p507-532.html
   My bibliography  Save this article

Assess the Competitiveness of the Banking Industry in Iran (in Persian)

Author

Listed:
  • Ahmadyan, Azam

    (Iran)

Abstract

According to banking network has experienced the expanding of private banks and entry of foreign banks, Concentration in the banking network and to measure the degree of competitiveness of banks is important. In this regard, this paper, using the Herfindal and concentration index, measure the degree of concentration in the banking network in the period 1380-1391. Also to measure the degree of competitiveness we use the dynamic Panzar and Ross model in the period 1375-1391. The results of the survey showed that the five largest banks have almost 60 percent of the assets of the banking network in 1391, that this decrease in the period. In addition, five largest banks in 1391, have 51 percent of non non performing loan. It make more Importance of credit risk management in this group of banks. Panzar and Ross dynamic index indicates the competitiveness of large banks are more competitiveness than small banks and private banks are more competitiveness than public banks.

Suggested Citation

  • Ahmadyan, Azam, 2015. "Assess the Competitiveness of the Banking Industry in Iran (in Persian)," Journal of Monetary and Banking Research (فصلنامه پژوهش‌های پولی-بانکی), Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 7(22), pages 507-532, January.
    • Handle: RePEc:mbr:jmbres:v:7:y:2015:i:22:p:507-532
    as

    Download full text from publisher

    File URL: http://jmbr.mbri.ac.ir/article-1-228-en.pdf
    Download Restriction: no
    File URL: http://jmbr.mbri.ac.ir/article-1-228-en.html
    Download Restriction: no
    File URL: http://jmbr.mbri.ac.ir/article-1-228-fa.html
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    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:mbr:jmbres:v:7:y:2015:i:22:p:507-532. 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: M. E. (email available below). General contact details of provider: https://edirc.repec.org/data/mbcbiir.html .

    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.