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Real estate fund active management

Author

Listed:
  • Stephen Lee
  • Giacomo Morri

Abstract

Purpose - – The purpose of this paper is to analyse the performance of UK property funds using the dual sources of active management, Active Share and tracking error, to distinguish between the types of active management styles used by funds. Design/methodology/approach - – The authors use data on 38 UK real estate funds and classify them into five active management categories using the dual sources of active management, Active Share and tracking error. Then, the authors compare their return performance against Active Share, tracking error, fund size and leverage. Therefore the paper is able to answer two of the fundamental questions of investment: does active management add value and what form of active management, stock selection or factor risk, is better at adding value to the fund? Findings - – There are three main conclusions. First, the approach of Cremers and Petajisto (2009) and Petajisto (2010) is able to classify real estate funds in the UK on their management activity into categories that makes intuitive sense and seem stable over time. Second, balanced funds show relatively low Active Shares and particularly low tracking errors, due to the benefits of property-type diversification. In contrast, specialists funds display higher Active Shares and both low and high tracking errors depending on their stock-picking approach; diversified or concentrated. Third, an analysis over different time periods confirmed that funds in the sample essentially remained in the same categories within the sample period, even during markedly different market return periods. This implies that investors need to constantly monitor changes in the market and switch between fund management styles, if at all possible. Research limitations/implications - – The analysis was only based on 38 funds with complete data over the sample period and the relationship between fees and active management was not examined, even though ultimately investors are concerned with returns after management fee. It would be instructive therefore if the number of funds and time period was expanded to see if the results are robust and to see whether management fees outweigh the benefits of active manager. Practical implications - – The findings should enable investors to make a more informed investment decisions in the future. Originality/value - – To the best of the author’s knowledge this is the first paper to apply the dual sources of active management, Active Share and tracking error, in the UK real estate market.

Suggested Citation

  • Stephen Lee & Giacomo Morri, 2015. "Real estate fund active management," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 33(6), pages 494-516, September.
  • Handle: RePEc:eme:jpifpp:v:33:y:2015:i:6:p:494-516
    DOI: 10.1108/JPIF-06-2014-0043
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    References listed on IDEAS

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    1. Alberto Plazzi & Walter Torous & Rossen Valkanov, 2008. "The Cross‐Sectional Dispersion of Commercial Real Estate Returns and Rent Growth: Time Variation and Economic Fluctuations," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 36(3), pages 403-439, September.
    2. Keim, Donald B., 1999. "An analysis of mutual fund design: the case of investing in small-cap stocks," Journal of Financial Economics, Elsevier, vol. 51(2), pages 173-194, February.
    3. K. J. Martijn Cremers & Antti Petajisto, 2009. "How Active Is Your Fund Manager? A New Measure That Predicts Performance," Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3329-3365, September.
    4. Peter J. Byrne & Stephen Lee, 2001. "Risk reduction and real estate portfolio size," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 22(7), pages 369-379.
    5. Martijn Cremers & Antti Petajisto, 2006. "How Active is Your Fund Manager? A New Measure That Predicts Performance," Yale School of Management Working Papers amz2370, Yale School of Management, revised 01 May 2009.
    6. Marcin Kacperczyk & Clemens Sialm & Lu Zheng, 2005. "On the Industry Concentration of Actively Managed Equity Mutual Funds," Journal of Finance, American Finance Association, vol. 60(4), pages 1983-2011, August.
    7. Nadima El-Hassan & Paul Kofman, 2003. "Tracking Error and Active Portfolio Management," Australian Journal of Management, Australian School of Business, vol. 28(2), pages 183-207, September.
    8. Craig L Israelsen & Gary F Cogswell, 2007. "The error of tracking error," Journal of Asset Management, Palgrave Macmillan, vol. 7(6), pages 419-424, March.
    9. Fama, Eugene F, 1972. "Components of Investment Performance," Journal of Finance, American Finance Association, vol. 27(3), pages 551-567, June.
    10. Treynor, Jack L & Black, Fischer, 1973. "How to Use Security Analysis to Improve Portfolio Selection," The Journal of Business, University of Chicago Press, vol. 46(1), pages 66-86, January.
    11. Peter Byrne & Stephen Lee, 2000. "Risk reduction in the United Kingdom property market," Journal of Property Research, Taylor & Francis Journals, vol. 17(1), pages 23-46, January.
    12. David Higgins & Boon Ng, 2009. "Australian securitised property funds: an examination of their risk‐adjusted performance," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 27(4), pages 404-412, July.
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    Cited by:

    1. Loban, Lidia & Sarto, José Luis & Vicente, Luis, 2020. "Eurozone regulation bias in the active share measure," International Review of Financial Analysis, Elsevier, vol. 72(C).

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