IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/787943.html
   My bibliography  Save this article

Optimal Portfolio Strategy under Rolling Economic Maximum Drawdown Constraints

Author

Listed:
  • Xiaojian Yu
  • Siyu Xie
  • Weijun Xu

Abstract

This paper deals with the problem of optimal portfolio strategy under the constraints of rolling economic maximum drawdown. A more practical strategy is developed by using rolling Sharpe ratio in computing the allocation proportion in contrast to existing models. Besides, another novel strategy named “ REDP strategy ” is further proposed, which replaces the rolling economic drawdown of the portfolio with the rolling economic drawdown of the risky asset. The simulation tests prove that REDP strategy can ensure the portfolio to satisfy the drawdown constraint and outperforms other strategies significantly. An empirical comparison research on the performances of different strategies is carried out by using the 23-year monthly data of SPTR, DJUBS, and 3-month T-bill. The investment cases of single risky asset and two risky assets are both studied in this paper. Empirical results indicate that the REDP strategy successfully controls the maximum drawdown within the given limit and performs best in both return and risk.

Suggested Citation

  • Xiaojian Yu & Siyu Xie & Weijun Xu, 2014. "Optimal Portfolio Strategy under Rolling Economic Maximum Drawdown Constraints," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-11, July.
  • Handle: RePEc:hin:jnlmpe:787943
    DOI: 10.1155/2014/787943
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2014/787943.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2014/787943.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2014/787943?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
    ---><---

    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:hin:jnlmpe:787943. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.