IDEAS home Printed from
   My bibliography  Save this paper

Comoment Risk and Stock Returns


  • Marie Lambert

    () (Luxembourg School of Finance, University of Luxembourg)

  • George Hübner

    () (HEC Management School, University of Liège, Belgium)


This paper applies the methodology of Lambert and Hübner (2009) for creating fundamental risk factors and factor systematic variance, skewness, and kurtosis into returns from March 1989 to June 2008. The coskewness and cokurtosis premiums present significant monthly average returns of respectively 0.2% and 0.4% over the period. First, we show that our set of moment-related premiums consistently price 2 sets of 2x3 covariance/coskewness and of 2x3 covariance/cokurtosis portfolios. The model delivers for all portfolios low levels of specification errors, high levels of R2, and beta loadings consistent with the portfolio rankings. Second, we perform Fama and MacBeth (1973) cross-sectional regressions made of higher-moment market premiums and/or Fama and French (1993) factors on 25 and 100 two-dimensional portfolios sorted on size and bookto- market. Used separately, a four-moment factor model and a four-factor Fama and French (1993) and Carhart (1997) model have been shown to deliver similar model specification errors (alphas) for the size/BTM portfolios. The Four-Moment Asset Pricing Model captures however a higher proportion of the portfolio variability of size/BTM portfolios than an empirical Capital Asset Pricing Model. Finally, our study demonstrates that moment and empirical premiums present complementary significance over the period.

Suggested Citation

  • Marie Lambert & George Hübner, 2010. "Comoment Risk and Stock Returns," LSF Research Working Paper Series 10-02, Luxembourg School of Finance, University of Luxembourg.
  • Handle: RePEc:crf:wpaper:10-02

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Giovanni Barone Adesi & Patrick Gagliardini & Giovanni Urga, 2004. "Testing Asset Pricing Models With Coskewness," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 474-485, October.
    Full references (including those not matched with items on IDEAS)

    More about this item


    Comoment; Hedge portfolios; Fama and French methodology; Fama-MacBeth test;

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:10-02. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Martine Zenner). General contact details of provider: .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.