IDEAS home Printed from https://ideas.repec.org/a/taf/uaajxx/v14y2010i1p59-67.html
   My bibliography  Save this article

Improving Skewness of Mean-Variance Portfolios

Author

Listed:
  • Luis Zuluaga
  • Samuel Cox

Abstract

The widely accepted belief that asset returns and insurance product line margins are not normally distributed has motivated the use of skewness (or higher than second-order moments) in the context of optimal risk-reward portfolio allocation. Here we propose an optimization-based methodology to substantially improve the skewness of portfolios in the mean-variance efficient frontier. Unlike other related methods, the proposed methodology is very intuitive, noniterative, and simple to implement, and it can be readily and efficiently carried out using state-of-the-art optimization solvers. These characteristics should be very appealing to risk managers.

Suggested Citation

  • Luis Zuluaga & Samuel Cox, 2010. "Improving Skewness of Mean-Variance Portfolios," North American Actuarial Journal, Taylor & Francis Journals, vol. 14(1), pages 59-67.
    • Handle: RePEc:taf:uaajxx:v:14:y:2010:i:1:p:59-67
    DOI: 10.1080/10920277.2010.10597577
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10920277.2010.10597577
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/10920277.2010.10597577?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Valeria V. Lakshina, 2019. "Do Portfolio Investors Need To Consider The Asymmetry Of Returns On The Russian Stock Market?," HSE Working papers WP BRP 75/FE/2019, National Research University Higher School of Economics.
    2. Flores-Ortega, Miguel. & Flores-Castillo, Lilia Alejandra. & Paredes-Gómez, Angelica., 2014. "Selección de portafolios de inversión incluyendo el efecto de asimetría: evidencia con activos de la Bolsa Mexicana de Valores," Panorama Económico, Escuela Superior de Economía, Instituto Politécnico Nacional, vol. 0(19), pages 77-101, segundo s.
    3. repec:grm:ecoyun:201619 is not listed on IDEAS
    4. Lakshina, Valeriya, 2020. "Do portfolio investors need to consider the asymmetry of returns on the Russian stock market?," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).

    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:taf:uaajxx:v:14:y:2010:i:1:p:59-67. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/uaaj .

    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.