IDEAS home Printed from https://ideas.repec.org/a/taf/jpropr/v24y2007i4p355-375.html
   My bibliography  Save this article

Risk Reduction and Diversification in UK Commercial Property Portfolios

Author

Listed:
  • Mark Callender
  • Steven Devaney
  • Angela Sheahan
  • Tony Key

Abstract

The issue of diversification in direct real estate investment portfolios has been widely studied in academic and practitioner literature. Most work, however, has been done using either partially aggregated data or data for small samples of individual properties. This paper reports results from tests of both risk reduction and diversification that use the records of 10,000+ UK properties tracked by Investment Property Databank. It provides, for the first time, robust estimates of the diversification gains attainable given the returns, risks and cross‐correlations across the individual properties available to fund managers. The results quantify the number of assets and amount of money needed to construct both ‘balanced’ and ‘specialist’ property portfolios by direct investment. Target numbers will vary according to the objectives of investors and the degree to which tracking error is tolerated. The top‐level results are consistent with previous work, showing that a large measure of risk reduction can be achieved with portfolios of 30--50 properties, but full diversification of specific risk can only be achieved in very large portfolios. However, the paper extends previous work by demonstrating on a single, large dataset the implications of different methods of calculating risk reduction, and also by showing more disaggregated results relevant to the construction of specialist, sector‐focussed funds.

Suggested Citation

  • Mark Callender & Steven Devaney & Angela Sheahan & Tony Key, 2007. "Risk Reduction and Diversification in UK Commercial Property Portfolios," Journal of Property Research, Taylor & Francis Journals, vol. 24(4), pages 355-375, December.
  • Handle: RePEc:taf:jpropr:v:24:y:2007:i:4:p:355-375
    DOI: 10.1080/09599910801916279
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09599910801916279
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/09599910801916279?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. Maarten Spek, 2017. "Investing in Real Estate Debt: Is it Real Estate or Fixed Income?," Abacus, Accounting Foundation, University of Sydney, vol. 53(3), pages 349-370, September.
    2. Charles-Olivier Amédée-Manesme & Fabrice Barthélémy, 2018. "Ex-ante real estate Value at Risk calculation method," Annals of Operations Research, Springer, vol. 262(2), pages 257-285, March.
    3. David Higgins, 2017. "Does the risk match the returns: an examination of US commercial property market data," ERES eres2017_397, European Real Estate Society (ERES).
    4. Charles-Olivier Amédée-Manesme & Michel Baroni & Fabrice Barthélémy & Mahdi Mokrane, 2015. "The impact of lease structures on the optimal holding period for a commercial real estate portfolio," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 33(2), pages 121-139, March.
    5. Brett Robinson, 2012. "How many leases are enough to diversify a portfolio of multi-let industrial properties?," ERES eres2012_351, European Real Estate Society (ERES).
    6. Charles-Olivier Amédée-Manesme & Michel Baroni & Fabrice Barthélémy & Mahdi Mokrane, 2015. "The impact of lease structures on the optimal holding period for a commercial real estate portfolio," Journal of Property Investment & Finance, Emerald Group Publishing, vol. 33(2), pages 121-139, March.
    7. Andrew Baum & Nick Colley, 2017. "Can Real Estate Investors Avoid Specific Risk?," Abacus, Accounting Foundation, University of Sydney, vol. 53(3), pages 395-430, September.
    8. Kevin C.H. Chiang & Xiaguan Jiang & Ming‐Long Lee, 2010. "REIT idiosyncratic risk," Journal of Property Research, Taylor & Francis Journals, vol. 26(4), pages 349-366, February.
    9. Lee, Chyi Lin & Stevenson, Simon & Cho, Hyunbum, 2022. "Listed real estate futures trading, market efficiency, and direct real estate linkages: International evidence," Journal of International Money and Finance, Elsevier, vol. 127(C).

    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:jpropr:v:24:y:2007:i:4:p:355-375. 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/RJPR20 .

    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.