IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-05366515.html
   My bibliography  Save this paper

Portfolio Of Mutual Funds Using Stochastic Models Based On Credibility Theory And Their’S Performance Evaluating

Author

Listed:
  • Saraj Mansour

    (Department of Basic Science, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.)

  • Ramezi Gholamali

    (Department of Basic Science, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.)

  • Sadeghi Ali

    (Department of Basic Science, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.)

Abstract

Credibility measure theory was introduced by Liu and Liu [1]; Then X. Li, Z. Qin and D. Ralescu [2]. On using this theory are converted mean-variance model to credibility mean-variance. Mutual funds are the most important investment mechanism in financial market. In this paper, we use rate of return of 46 mutual funds of TSE. At first, we analyze data and then implement credibility mean-variance in MATLAB. We also survey Performance of case study sample with market Performance.

Suggested Citation

  • Saraj Mansour & Ramezi Gholamali & Sadeghi Ali, 2015. "Portfolio Of Mutual Funds Using Stochastic Models Based On Credibility Theory And Their’S Performance Evaluating," Post-Print hal-05366515, HAL.
  • Handle: RePEc:hal:journl:hal-05366515
    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
    for a similarly titled item that would be available.

    More about this item

    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:hal:journl:hal-05366515. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.