IDEAS home Printed from https://ideas.repec.org/p/knz/dpteco/1014.html

Improved Portfolio Choice using Second-Order Stochastic Dominance

Author

Listed:
  • James E. Hodder

    (University of Wisconsin-Madinson)

  • Jens Carsten Jackwerth

    (Department of Economics, University of Konstanz, Germany)

  • Olga Kolokolova

    (University of Manchester, United Kingdom)

Abstract

We examine the use of second-order stochastic dominance as both a way to measure performance and also as a technique for constructing portfolios. Using in-sample data, we construct portfolios such that their second-order stochastic dominance over a typical pension fund benchmark is most probable. The empirical results based on 21 years of daily data suggest that this portfolio choice technique significantly outperforms the benchmark portfolio out-of-sample. As a preference-free technique it will also suit any risk-averse investor in e.g. a pension fund. Moreover, its out-of-sample performance across eight different measures is superior to widely discussed portfolio choice approaches such as equal weights, mean variance, and minimum-variance methods.

Suggested Citation

  • James E. Hodder & Jens Carsten Jackwerth & Olga Kolokolova, 2010. "Improved Portfolio Choice using Second-Order Stochastic Dominance," Working Paper Series of the Department of Economics, University of Konstanz 2010-14, Department of Economics, University of Konstanz.
    • Handle: RePEc:knz:dpteco:1014
    as

    Download full text from publisher

    File URL: http://www.uni-konstanz.de/FuF/wiwi/workingpaperseries/WP_Hodder-Jackwerth-Kolokolova-14-10.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G - Financial Economics

    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:knz:dpteco:1014. 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: Office Ursprung The email address of this maintainer does not seem to be valid anymore. Please ask Office Ursprung to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/fwkonde.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.