IDEAS home Printed from https://ideas.repec.org/a/wsi/ijfexx/v08y2021i02ns2424786321500249.html
   My bibliography  Save this article

Binomial tree method for option pricing: Discrete Carr and Madan formula approach

Author

Listed:
  • Yoshifumi Muroi

    (Tohoku University, Graduate School of Economics and Management, 27-1 Kawauchi Aoba-ku, Sendai 980-8576, Japan)

  • Ryota Saeki

    (The Dai-ichi Life Insurance Company, Limited, 1-13-1 Yurakucho Chiyoda-ku, Tokyo 100-8411, Japan)

  • Shintaro Suda

    (Mitsubishi UFJ Trust Investment, Technology Institute Co., Ltd. (MTEC), Sumitomo Fudosan Shin-Akasaka Bldg. 10F, 4-2-6 Akasaka Minato-ku, Tokyo 107-0052, Japan)

Abstract

This paper suggests a new Fourier analysis approach to evaluate the option prices and its sensitivities (Greeks) using the binomial tree model. In the last half of this paper, we show that option prices are efficiently and effectively evaluated using a semi-closed form formula for European option prices. We can compute option prices in a broad class of jump-diffusion models because we calculate the characteristic function for an underlying asset price numerically. Furthermore, we also compute the price of European options in the exp-Levy model. This numerical experiment gives new insights into option pricing in the nonparametric Levy model. The option prices and sensitivities can be computed very accurately and efficiently, even in binomial tree models with jumps.

Suggested Citation

  • Yoshifumi Muroi & Ryota Saeki & Shintaro Suda, 2021. "Binomial tree method for option pricing: Discrete Carr and Madan formula approach," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 8(02), pages 1-28, June.
  • Handle: RePEc:wsi:ijfexx:v:08:y:2021:i:02:n:s2424786321500249
    DOI: 10.1142/S2424786321500249
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S2424786321500249
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S2424786321500249?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Muroi, Yoshifumi & Suda, Shintaro, 2022. "Binomial tree method for option pricing: Discrete cosine transform approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 198(C), pages 312-331.

    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:wsi:ijfexx:v:08:y:2021:i:02:n:s2424786321500249. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscientific.com/worldscinet/ijfe .

    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.