IDEAS home Printed from https://ideas.repec.org/a/wsi/ijtafx/v09y2006i06ns0219024906003883.html
   My bibliography  Save this article

Optimal Constant-Rebalanced Portfolio Investment Strategies For Dynamic Portfolio Selection

Author

Listed:
  • ZHONG-FEI LI

    (Department of Finance, Lingnan (University) College, Sun Yat-Sen University, Guangzhou 510275, People's Republic of China)

  • KAI W. NG

    (Department of Statistics and Actuarial Science, The University of Hong Kong, Pokfulam Road, Hong Kong, China)

  • KEN SENG TAN

    (Department of Statistics and Actuarial Science, University of Waterloo, University Avenue West, Waterloo, Ontario, Canada;
    China Institute for Actuarial Science, Central University of Finance and Economics, Beijing, China)

  • HAILIANG YANG

    (Department of Statistics and Actuarial Science, The University of Hong Kong, Pokfulam Road, Hong Kong, China)

Abstract

In this paper we propose a variant of the continuous-time Markowitz mean-variance model by incorporating the Earnings-at-Risk measure in the portfolio optimization problem. Under the Black-Scholes framework, we obtain closed-form expressions for the optimal constant-rebalanced portfolio (CRP) investment strategy. We also derive explicitly the corresponding mean-EaR efficient portfolio frontier, which is a generalization of the Markowitz mean-variance efficient frontier.

Suggested Citation

  • Zhong-Fei Li & Kai W. Ng & Ken Seng Tan & Hailiang Yang, 2006. "Optimal Constant-Rebalanced Portfolio Investment Strategies For Dynamic Portfolio Selection," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 9(06), pages 951-966.
  • Handle: RePEc:wsi:ijtafx:v:09:y:2006:i:06:n:s0219024906003883
    DOI: 10.1142/S0219024906003883
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219024906003883
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0219024906003883?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. Leung, Andrew P., 2011. "Reactive investment strategies," Insurance: Mathematics and Economics, Elsevier, vol. 49(1), pages 89-99, July.

    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:wsi:ijtafx:v:09:y:2006:i:06:n:s0219024906003883. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijtaf/ijtaf.shtml .

    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.