IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-01388047.html
   My bibliography  Save this paper

Expected Utility Maximisation For Exponential Levy Models With Option And Information Processes

Author

Listed:
  • Lioudmila Vostrikova

    (LAREMA - Laboratoire Angevin de Recherche en Mathématiques - UA - Université d'Angers - CNRS - Centre National de la Recherche Scientifique)

Abstract

We consider expected utility maximisation problem for exponential Levy models and HARA utilities in presence of illiquid asset in portfolio. This illiquid asset is modelled by an option of European type on another risky asset which is correlated with the first one. Under some hypothesis on Levy processes, we give the expressions of information processes figured in maximum utility formula. As applications, we consider Black-Scholes models with correlated Brownian Motions, and also Black-Scholes models with jump part represented by Poisson process.

Suggested Citation

  • Lioudmila Vostrikova, 2016. "Expected Utility Maximisation For Exponential Levy Models With Option And Information Processes," Working Papers hal-01388047, HAL.
  • Handle: RePEc:hal:wpaper:hal-01388047
    Note: View the original document on HAL open archive server: https://hal.science/hal-01388047
    as

    Download full text from publisher

    File URL: https://hal.science/hal-01388047/document
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    utility maximisation; exponential Levy models; f-divergence minimal martingale measure; dual approach; entropy; Kullback-Leibler information; information processes;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:wpaper:hal-01388047. 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.