IDEAS home Printed from
   My bibliography  Save this article

Analysing the performance of nonlisted real estate funds: a panel data analysis


  • Franz Fuerst
  • George Matysiak


The rapid growth of nonlisted real estate funds over the last several years has contributed towards establishing this sector as a major investment vehicle for gaining exposure to commercial real estate. Academic research has not kept up with this development, however, as there are still only a few published studies on nonlisted real estate funds. This article aims to identify the factors driving the total return over a 7-year period. Influential factors tested in our analysis include the weighted underlying direct property returns in each country and sector as well as fund size, investment style gearing and the distribution yield. Furthermore, we analyse the interaction of nonlisted real estate funds with the performance of the overall economy and that of competing asset classes and find that lagged Gross Domestic Product (GDP) growth and stock market returns as well as contemporaneous government bond rates are significant and positive predictors of annual fund performance.

Suggested Citation

  • Franz Fuerst & George Matysiak, 2013. "Analysing the performance of nonlisted real estate funds: a panel data analysis," Applied Economics, Taylor & Francis Journals, vol. 45(14), pages 1777-1788, May.
  • Handle: RePEc:taf:applec:45:y:2013:i:14:p:1777-1788
    DOI: 10.1080/00036846.2011.637898

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

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


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

    Cited by:

    1. Jaroslaw Morawski & Tom van den Heuvel, 2013. "Performance Drivers of German Institutional Property Funds," ERES eres2013_221, European Real Estate Society (ERES).

    More about this item


    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:taf:applec:45:y:2013:i:14:p:1777-1788. 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: (Chris Longhurst). 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.

    We have no 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.

    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.