IDEAS home Printed from https://ideas.repec.org/p/rtr/wpaper/0056.html
   My bibliography  Save this paper

Dynamic portfolio selection in a dual expected utility theory framework

Author

Listed:
  • Marisa Cenci

    ()

  • Massimiliano Corradini
  • Andrea Gheno

Abstract

In this paper the dynamic portfolio selection problem is studied for the first time in a dual utility theory framework. The Wang transform is used as distortion function and well diversified optimal portfolios result both with and without short sales allowed.

Suggested Citation

  • Marisa Cenci & Massimiliano Corradini & Andrea Gheno, 2005. "Dynamic portfolio selection in a dual expected utility theory framework," Departmental Working Papers of Economics - University 'Roma Tre' 0056, Department of Economics - University Roma Tre.
  • Handle: RePEc:rtr:wpaper:0056
    as

    Download full text from publisher

    File URL: http://host.uniroma3.it/dipartimenti/economia/pdf/wp56.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Hadar, Josef & Seo, Tae Kun, 1995. "Asset diversification in Yaari's dual theory," European Economic Review, Elsevier, vol. 39(6), pages 1171-1180, June.
    2. Wang, Shaun S., 2002. "A Universal Framework for Pricing Financial and Insurance Risks," ASTIN Bulletin: The Journal of the International Actuarial Association, Cambridge University Press, vol. 32(02), pages 213-234, November.
    3. Merton, Robert C, 1969. "Lifetime Portfolio Selection under Uncertainty: The Continuous-Time Case," The Review of Economics and Statistics, MIT Press, vol. 51(3), pages 247-257, August.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Massimiliano Corradini & Andrea Gheno, 2007. "Contingent Claim Pricing In A Dual Expected Utility Theory Framework," Departmental Working Papers of Economics - University 'Roma Tre' 0082, Department of Economics - University Roma Tre.
    2. Corradini, M. & Gheno, A., 2009. "Incomplete financial markets and contingent claim pricing in a dual expected utility theory framework," Insurance: Mathematics and Economics, Elsevier, vol. 45(2), pages 180-187, October.

    More about this item

    Keywords

    Portfolio Selection; Dual Utility Theory; Wang Transform;

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    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:rtr:wpaper:0056. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Telephone for information). General contact details of provider: http://edirc.repec.org/data/dero3it.html .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.