IDEAS home Printed from https://ideas.repec.org/a/ids/ijient/v7y2020i1-2-3p234-249.html
   My bibliography  Save this article

Studies on European call option of binomial option pricing model using Taguchi's L27 orthogonal array

Author

Listed:
  • Amir Ahmad Dar
  • N. Anuradha

Abstract

There are several parameters affecting the European call option value such as strike price K, the price of an underlying asset S0, volatility σ, time period t and interest rate r. In this paper, the binomial option pricing model is utilised to assess the estimation of a European call option. To explore the effects of input factors, Taguchi method of orthogonal L27 design experiment is carried out using an orthogonal array, analysis of variance (ANOVA), and analysis of mean (ANOM) were used. The purpose of this paper to find the best optimal combination by varying the parameters at constant interest rate r and the effects of parameters are discussed. The ANOM distinguishes which parameter influences higher on European call option value and furthermore, it demonstrates the best combination where the European call option will get the greatest value. The ANOVA estimates the percentage contribution of every parameter on European call option and the analysis is carried out using MINITAB software.

Suggested Citation

  • Amir Ahmad Dar & N. Anuradha, 2020. "Studies on European call option of binomial option pricing model using Taguchi's L27 orthogonal array," International Journal of Intelligent Enterprise, Inderscience Enterprises Ltd, vol. 7(1/2/3), pages 234-249.
  • Handle: RePEc:ids:ijient:v:7:y:2020:i:1/2/3:p:234-249
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=104663
    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.

    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:ijient:v:7:y:2020:i:1/2/3:p:234-249. 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=167 .

    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.