IDEAS home Printed from https://ideas.repec.org/p/crf/wpaper/09-06.html
   My bibliography  Save this paper

Directional and non-directional risk exposures in Hedge Fund returns

Author

Listed:
  • Marie Lambert

    (Luxembourg School of Finance, University of Luxembourg)

  • George Hübner

    (HEC Management School, University of Liège)

  • Marie Lambert

    (HEC Montreal.)

Abstract

This paper re-examines the ability of the factor model approach to evaluate the performance of hedge funds. The analysis incorporates traditional asset based factors as well as an array of new and previously studied option based factors and instrumental variables. As hedge fund returns are not normally distributed, higher order moments play a significant role in maximizing the investors’ expected utility. As a result, hedge fund performance evaluation should assign a premium to higher order asset co-moments of hedge fund returns with the aggregate market in order to consistently capture the sources of hedge fund returns. We provide evidence that there is still much information embedded in option prices, particularly in the implied higher moments, which has not previously been exploited. These new option based factors increase the explanatory power of the models across all the hedge fund strategies.

Suggested Citation

  • Marie Lambert & George Hübner & Marie Lambert, 2009. "Directional and non-directional risk exposures in Hedge Fund returns," LSF Research Working Paper Series 09-06, Luxembourg School of Finance, University of Luxembourg.
    • Handle: RePEc:crf:wpaper:09-06
    as

    Download full text from publisher

    File URL: http://www.lsf.lu/eng/content/download/1135/5668/file/09-06.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Hedge funds; style; higher-moment; option-based factors; conditional factors;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:crf:wpaper:09-06. 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: Martine Zenner (email available below). General contact details of provider: https://edirc.repec.org/data/sfsculu.html .

    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.