IDEAS home Printed from https://ideas.repec.org/p/rtr/wpaper/0048.html
   My bibliography  Save this paper

Portfolio selection: a linear approach with dual expected utility

Author

Listed:
  • Floriana Filippini
  • Marisa Cenci

Abstract

This paper analyses the portfolio selection problem under the non-expected utility theory. We assume that the decision maker ranks the alternatives by using a specific Dual Expected Utility. This function allows returns which are less than or equal to a fixed benchmark to be weighted in a different way from those greater than the fixed benchmark. In this model the implicit risk measure is more general than the standard deviation and it coincides with the downside risk only due to the appropriate choices of the parameters. Under normally distributed returns and appropriate choices of the benchmark, the approach suggested is equivalent to the Markowitz model in term of efficient frontier and moreover has the advantage of using linear programming to abtain the optimal portfolio. It can thus handle high dimensional problem. We also show result obtained by implementing the model on the Italian stock market.

Suggested Citation

  • Floriana Filippini & Marisa Cenci, 2005. "Portfolio selection: a linear approach with dual expected utility," Departmental Working Papers of Economics - University 'Roma Tre' 0048, Department of Economics - University Roma Tre.
    • Handle: RePEc:rtr:wpaper:0048
    as

    Download full text from publisher

    File URL: http://dipeco.uniroma3.it/public/WP%2048%20Cenci%20DeFilippis%202005.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Marisa Cenci & Floriana Filippini, 2005. "Portfolio Selection with minimum transaction lots: an approach with dual expected utility," Departmental Working Papers of Economics - University 'Roma Tre' 0050, Department of Economics - University Roma Tre.

    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:rtr:wpaper:0048. 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: Telephone for information (email available below). General contact details of provider: https://edirc.repec.org/data/dero3it.html .

    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.