IDEAS home Printed from https://ideas.repec.org/p/arx/papers/1003.2521.html
   My bibliography  Save this paper

Risk Sensitive Investment Management with Affine Processes: a Viscosity Approach

Author

Listed:
  • Mark Davis
  • Sebastien Lleo

Abstract

In this paper, we extend the jump-diffusion model proposed by Davis and Lleo to include jumps in asset prices as well as valuation factors. The criterion, following earlier work by Bielecki, Pliska, Nagai and others, is risk-sensitive optimization (equivalent to maximizing the expected growth rate subject to a constraint on variance.) In this setting, the Hamilton- Jacobi-Bellman equation is a partial integro-differential PDE. The main result of the paper is to show that the value function of the control problem is the unique viscosity solution of the Hamilton-Jacobi-Bellman equation.

Suggested Citation

  • Mark Davis & Sebastien Lleo, 2010. "Risk Sensitive Investment Management with Affine Processes: a Viscosity Approach," Papers 1003.2521, arXiv.org.
  • Handle: RePEc:arx:papers:1003.2521
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/1003.2521
    File Function: Latest version
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Goutte Stéphane & Ngoupeyou Armand, 2014. "Dual Optimization Problem on Defaultable Claims," Mathematical Economics Letters, De Gruyter, vol. 1(2-4), pages 1-8, July.
    2. Stephane Goutte & Armand Ngoupeyou, 2012. "Optimization problem and mean variance hedging on defaultable claims," Papers 1209.5953, arXiv.org.

    More about this item

    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:arx:papers:1003.2521. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.