IDEAS home Printed from https://ideas.repec.org/a/taf/jnlbes/v30y2011i2p297-311.html
   My bibliography  Save this article

The Role of Heterogeneity in Asset Pricing: The Effect of a Clustering Approach

Author

Listed:
  • Olesya V. Grishchenko
  • Marco Rossi

Abstract

In this article we use a novel clustering approach to study the role of heterogeneity in asset pricing. We present evidence that the equity premium is consistent with a stochastic discount factor (SDF) calculated as the average of the household clusters’ intertemporal marginal rates of substitution in the 1984--2002 period. The result is driven by the skewness of the cluster-based cross-sectional distribution of consumption growth, but cannot be explained by the cross-sectional variance and mean alone. We find that nine clusters are sufficient to explain the equity premium with relative risk aversion coefficient equal to six. The result is robust to various averaging schemes of cluster-based consumption growth used to construct the SDF. Lastly, the analysis reveals that standard approximation schemes of the SDF using individual household data produce unreliable results, implying a negative SDF.

Suggested Citation

  • Olesya V. Grishchenko & Marco Rossi, 2011. "The Role of Heterogeneity in Asset Pricing: The Effect of a Clustering Approach," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(2), pages 297-311, November.
    • Handle: RePEc:taf:jnlbes:v:30:y:2011:i:2:p:297-311
    DOI: 10.1080/07350015.2012.670544
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/07350015.2012.670544
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/07350015.2012.670544?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Irina Khvostova & Alexander Larin & Anna Novak, 2016. "Euler Equation with Habits and Measurement Errors: Estimates on Russian Micro Data," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 63(4), pages 395-409.
    2. Kuang-Liang Chang & Nan-Kuang Chen & Charles Ka Yui Leung, 2016. "Losing Track of the Asset Markets: the Case of Housing and Stock," International Real Estate Review, Global Social Science Institute, vol. 19(4), pages 435-492.
    3. Irina Khvostova & Alexander Larin & Anna Novak, 2016. "The Euler Equation with Habits and Measurement Errors: Estimates on Russian Micro Data," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 63(4), pages 395-409, September.
    4. Larin, Alexander & Novak, Anna & Khvostova, Irina, 2013. "Consumption dynamics in Russia: Estimates on microdata," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 32(4), pages 29-44.

    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:taf:jnlbes:v:30:y:2011:i:2:p:297-311. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/UBES20 .

    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.