IDEAS home Printed from https://ideas.repec.org/a/ids/ijisen/v18y2014i3p335-354.html
   My bibliography  Save this article

A hybrid fuzzy decision making method for a portfolio selection: a case study of Tehran Stock Exchange

Author

Listed:
  • Abolfazl Kazemi
  • Keyvan Sarrafha
  • Mahdi Beedel

Abstract

The problem of choosing an optimal portfolio is the most significant issue for any investor in the stock exchange market. The present study seeks to prioritise seven companies through pioneer industries on Tehran Stock Exchange market by opting for suitable financial guidelines as well effective criteria in uncertain environments. To do so, a hybrid fuzzy decision making procedure was applied. Having determined the criteria, Delphi method approach was used as a process in fuzzy pairwise comparison of criteria and alternatives in fuzzy AHP. Alternatives then weighed up in fuzzy TOPSIS method to achieve a coordinated and balanced view. Finally, to evaluate the results against real conditions of Tehran exchange market, they were compared with the actual annually returns of these same companies on the market.

Suggested Citation

  • Abolfazl Kazemi & Keyvan Sarrafha & Mahdi Beedel, 2014. "A hybrid fuzzy decision making method for a portfolio selection: a case study of Tehran Stock Exchange," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 18(3), pages 335-354.
  • Handle: RePEc:ids:ijisen:v:18:y:2014:i:3:p:335-354
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=65537
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Mir Seyed Mohammad Mohsen Emamat & Caroline Maria de Miranda Mota & Mohammad Reza Mehregan & Mohammad Reza Sadeghi Moghadam & Philippe Nemery, 2022. "Using ELECTRE-TRI and FlowSort methods in a stock portfolio selection context," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-35, December.
    2. Masoud Rahiminezhad Galankashi & Farimah Mokhatab Rafiei & Maryam Ghezelbash, 2020. "Portfolio selection: a fuzzy-ANP approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-34, December.
    3. Pośpiech Ewa, 2019. "Effective Portfolios – An Application of Multi-Criteria and Fuzzy Approach," Folia Oeconomica Stetinensia, Sciendo, vol. 19(1), pages 126-139, June.

    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:ids:ijisen:v:18:y:2014:i:3:p:335-354. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=188 .

    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.