IDEAS home Printed from https://ideas.repec.org/p/arz/wpaper/eres2011_140.html
   My bibliography  Save this paper

Systematic Risk Factors in European Real Estate Equity Returns

Author

Listed:
  • Kai Schulte
  • Tobias Dechant

Abstract

The study provides insight into the pricing of publicly traded European real estate equities. The Fama-French three-factor model, as well as unconditional and conditional Fama-MacBeth regressions are applied to a sample of 275 real estate equities from 16 European countries over the period 1988 to 2009. The results show that within the real estate equity market, a significant value effect exists, while no small-size effect is present. Real estate equity returns vary significantly with the excess market return and a pan-European value factor. Moreover, returns are driven by a systematic size factor, although this effect is not as pronounced. The findings further indicate a better integration of the European real estate equity market with the general equity market from 1999 onwards. Consistent with other asset pricing studies, no factor risk loading proves to be consistently priced in unconditional asset pricing tests. However, the study reveals the explanatory power of systematic risk factors, especially beta, when conditioned on both general and real estate market states. The results moreover indicate differences in the pricing of real estate equities between Europe and the US.

Suggested Citation

  • Kai Schulte & Tobias Dechant, 2011. "Systematic Risk Factors in European Real Estate Equity Returns," ERES eres2011_140, European Real Estate Society (ERES).
  • Handle: RePEc:arz:wpaper:eres2011_140
    as

    Download full text from publisher

    File URL: https://eres.architexturez.net/doc/oai-eres-id-eres2011-140
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Jochem J. Bron & Chinmoy Ghosh & Milena Petrova, 2018. "On the Earnings and Price Momentum Strategies: Evidence from European Real Estate Firms," The Journal of Real Estate Finance and Economics, Springer, vol. 57(3), pages 400-430, October.
    2. Daniel Wurstbauer & Stephan Lang & Christoph Rothballer & Wolfgang Schaefers, 2016. "Can common risk factors explain infrastructure equity returns? Evidence from European capital markets," Journal of Property Research, Taylor & Francis Journals, vol. 33(2), pages 97-120, April.

    More about this item

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

    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:arz:wpaper:eres2011_140. 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: Architexturez Imprints (email available below). General contact details of provider: https://edirc.repec.org/data/eressea.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.