IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/451627.html
   My bibliography  Save this article

A Convex-Risk-Measure Based Model and Genetic Algorithm for Portfolio Selection

Author

Listed:
  • Weijia Wang
  • Jie Hu
  • Ning Dong

Abstract

A convex risk measure called weighted expected shortfall (briefly denoted as WES (Chen and Yang, 2011)) is adopted as the risk measure. This measure can reflect the reasonable risk in the stock markets. Then a portfolio optimization model based on this risk measure is set up. Furthermore, a genetic algorithm is proposed for this portfolio optimization model. At last, simulations are made on randomly chosen ten stocks for 60 days (during January 2, 2014 to April 2, 2014) from Wind database (CFD) in Shenzhen Stock Exchange, and the results indicate that the proposed model is reasonable and the proposed algorithm is effective.

Suggested Citation

  • Weijia Wang & Jie Hu & Ning Dong, 2015. "A Convex-Risk-Measure Based Model and Genetic Algorithm for Portfolio Selection," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-8, April.
  • Handle: RePEc:hin:jnlmpe:451627
    DOI: 10.1155/2015/451627
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2015/451627.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2015/451627.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2015/451627?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:451627. 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.