IDEAS home Printed from https://ideas.repec.org/a/ris/qjatoe/0150.html
   My bibliography  Save this article

Financial Stress Index for Iran's Financial System with Portfolio Theory Approach

Author

Listed:
  • Fallahpour, Saeed

    (Associate Professor of Financial Management, University of Tehran)

  • Shirkavand, Saeed

    (Associate Professor of Financial Management, University of Tehran)

  • Ghanbari, Akbar

    (Ph.D. Candidate of Financial Management, University of Tehran)

Abstract

Financial Stress Index as a measure of a systemic risk that quantify stress throughout the entire financial system and describes the contribution of each section of the financial market to the overall stress of the system. In this paper, a composite index for measuring the stress of the Iran’s financial system proposed using a portfolio approach. This indicator is a combination of stress variables in different parts of the Iran’s financial system (stock market, debt market, banking sector, money market and exchange rate market). To aggregate these variables, EWMA, dynamic conditional correlation (DCCGARCH) and BEKK-GARCH used to examine the cross-correlations structure between the subindices during the period of March 2010 to March 2018. In the end, to determine which of the stress indicators designed for the financial system of Iran is more desirable, the results of the prediction of the VAR model used to explain the changes in GDP. The results of the comparison of the prediction criteria showed that differences in the performance of these indices are not significant, although the stress index produced by BEKK-GARCH method performed better and in comparison with the other two methods used to estimate subindices cross-correlation, better explains the changes in the economy activity

Suggested Citation

  • Fallahpour, Saeed & Shirkavand, Saeed & Ghanbari, Akbar, 2019. "Financial Stress Index for Iran's Financial System with Portfolio Theory Approach," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, vol. 6(2), pages 101-134, August.
  • Handle: RePEc:ris:qjatoe:0150
    as

    Download full text from publisher

    File URL: https://ecoj.tabrizu.ac.ir/article_9057_3e282fbfc802c3b6431399eaece0c4b6.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Financial stress index (FSI); Irans financial system; Multivariate GARCH; Exponentially Weighted Moving Average (EWMA); Vector Auto regression (VAR) model.;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G01 - Financial Economics - - General - - - Financial Crises

    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:ris:qjatoe:0150. 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: Sakineh Sojoodi (email available below). General contact details of provider: https://edirc.repec.org/data/fetabir.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.