IDEAS home Printed from https://ideas.repec.org/a/asi/joabsj/v3y2013i4p59-68id4066.html
   My bibliography  Save this article

Measuring the Mutual Fund Industry Risk Management and Performance Sustainability - Quantile Regression Model

Author

Listed:
  • Joe-Ming Lee

Abstract

We apply the Quantile Regression Model to observe the rank correlation between bond fund performance and asset, volatility, management fee, Sharpe index and show that fund performance between volatility as a negative significant relationship, implied extreme values have been generated risk coefficient and fund performance change relations. The extreme value of the display the risk coefficient fund performance has changed the relationship, show that enhance the risk coefficient, resulting in lower fund performance, tells us that the mutual fund industry pursuit of short-term fund performance through operating the transition risks lever, but cannot afford a long-term test of the market. Finally, we recommend that the mutual fund industry needs to strengthen risk management professional and pursuit of performance Sustainability.

Suggested Citation

  • Joe-Ming Lee, 2013. "Measuring the Mutual Fund Industry Risk Management and Performance Sustainability - Quantile Regression Model," Journal of Asian Business Strategy, Asian Economic and Social Society, vol. 3(4), pages 59-68.
  • Handle: RePEc:asi:joabsj:v:3:y:2013:i:4:p:59-68:id:4066
    as

    Download full text from publisher

    File URL: https://archive.aessweb.com/index.php/5006/article/view/4066/6336
    Download Restriction: no
    ---><---

    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:asi:joabsj:v:3:y:2013:i:4:p:59-68:id:4066. 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: Robert Allen (email available below). General contact details of provider: https://archive.aessweb.com/index.php/5006/ .

    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.