IDEAS home Printed from https://ideas.repec.org/a/spr/decfin/v46y2023i2d10.1007_s10203-023-00396-z.html
   My bibliography  Save this article

Implied higher order moments in the Heston model: a case study of S &P500 index

Author

Listed:
  • Farshid Mehrdoust

    (University of Guilan)

  • Idin Noorani

    (University of Guilan)

Abstract

This paper proposes a stochastic volatility model based on the Cox-Ingersoll-Ross process for stock market modeling. We derive a semi-analytical solution of the higher order moments for the compound returns based on the Heston model. Next, we derive a linear relationship between VIX index and variance process. Then, through it and actual data of the VIX index, the volatility process parameters are estimated. We also calibrate the option price obtained by the Heston model based on the S &P500 index option prices. An experimental study demonstrates the efficiency of the proposed method.

Suggested Citation

  • Farshid Mehrdoust & Idin Noorani, 2023. "Implied higher order moments in the Heston model: a case study of S &P500 index," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 46(2), pages 477-504, December.
  • Handle: RePEc:spr:decfin:v:46:y:2023:i:2:d:10.1007_s10203-023-00396-z
    DOI: 10.1007/s10203-023-00396-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10203-023-00396-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10203-023-00396-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:decfin:v:46:y:2023:i:2:d:10.1007_s10203-023-00396-z. 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.