IDEAS home Printed from https://ideas.repec.org/p/hal/cesptp/halshs-00542475.html
   My bibliography  Save this paper

A short note on option pricing with Lévy Processes

Author

Listed:
  • Dominique Guegan

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Hanjarivo Lalaharison

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

Abstract

In this paper, we provide exact formulas for the pricing of European options under the risk neutral measure, whereas under the historic measure the data follow two types of models : a GARCH process with Lévy innovations, or a GARCH process with Poisson jumps. This approach aims to take realistic account of the jumps that are observed in the markets and to introduce them into the theory of pricing in incomplete markets. We assume that the "pricing kenel" that can move from measurement historical risk-neutral measure can be obtained from the Esscher transform (Siu et al., 1994), or using the MEMM transformation introduced by Elliott and Madam (1998). We show how these two types of "pricing kernels" impact on the options prices and through an example we quantify the difference.

Suggested Citation

  • Dominique Guegan & Hanjarivo Lalaharison, 2010. "A short note on option pricing with Lévy Processes," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00542475, HAL.
    • Handle: RePEc:hal:cesptp:halshs-00542475
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00542475
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-00542475/document
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    Lévy processes; pricing; incomplet markets; risk neutral measure; Processus de Lévy; marchés incomplets; mesure risque neutre;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

    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:cesptp:halshs-00542475. 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.