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Maximum drawdown and the allocation to real estate

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  • Foort Hamelink
  • Martin Hoesli

Abstract

The role of real estate in a mixed-asset portfolio is investigated when the maximum drawdown (hereafter MaxDD), rather than the standard deviation, is used as the measure of risk. In particular, it is analysed whether the discrepancy between the optimal allocation to real estate and the actual allocation by institutional investors is less when a Return/MaxDD framework is used. The empirical analysis is conducted from the perspective of a Swiss investor using international data for the period 1979- 2002. It is shown that most portfolios optimized in Return/MaxDD space, rather than in Return/Standard Deviation space, yield a much lower MaxDD, while usually only a slightly higher standard deviation (for the same level of return). Also, the reported weights for real estate are much more in line with the actual weights to real estate by institutional investors.

Suggested Citation

  • Foort Hamelink & Martin Hoesli, 2004. "Maximum drawdown and the allocation to real estate," Journal of Property Research, Taylor & Francis Journals, vol. 21(1), pages 5-29, January.
    • Handle: RePEc:taf:jpropr:v:21:y:2004:i:1:p:5-29
    DOI: 10.1080/0959991042000217903
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    Cited by:

    1. Colin Lizieri & Stephen Satchell & Qi Zhang, 2007. "The Underlying Return‐Generating Factors for REIT Returns: An Application of Independent Component Analysis," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 35(4), pages 569-598, December.
    2. Christian Pierdzioch & Daniel Hartmann, 2013. "Forecasting Eurozone real-estate returns," Applied Financial Economics, Taylor & Francis Journals, vol. 23(14), pages 1185-1196, July.
    3. Tavakoli Baghdadabad, Mohammad Reza, 2014. "Average drawdown risk reduction and risk tolerances," Research in Economics, Elsevier, vol. 68(3), pages 264-276.
    4. Martin Hoesli & Jon Lekander, 2005. "Suggested vs. Actual Institutional Allocattion to Real Estate in Europe: A Matter of Size," FAME Research Paper Series rp149, International Center for Financial Asset Management and Engineering.
    5. Schuhmacher, Frank & Eling, Martin, 2011. "Sufficient conditions for expected utility to imply drawdown-based performance rankings," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2311-2318, September.
    6. David Landriault & Bin Li & Hongzhong Zhang, 2014. "On the Frequency of Drawdowns for Brownian Motion Processes," Papers 1403.1183, arXiv.org.
    7. Carsten Lausberg & Stephen Lee & Moritz Müller & Cay Oertel & Tobias Schultheiß, 2020. "Risk measures for direct real estate investments with non-normal or unknown return distributions," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 6(1), pages 3-27, April.
    8. Neil Crosby & Steven Devaney, 2006. "Depreciation and its Impact on the Total Return of UK Commercial Real Estate, 1994-2003," Real Estate & Planning Working Papers rep-wp2006-05, Henley Business School, University of Reading.
    9. Essafi Zouari Yasmine & Nasreddine Aya & Simon Arnaud, 2020. "The Role of Housing in a Mixed-Asset Portfolio: The Particular Case of Direct Housing within the Greater Paris Region," Working Papers hal-02537087, HAL.
    10. Muneer Shaik & S. Maheswaran, 2019. "Robust Volatility Estimation with and Without the Drift Parameter," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(1), pages 57-91, March.
    11. Leonie Violetta Brinker, 2021. "Minimal Expected Time in Drawdown through Investment for an Insurance Diffusion Model," Risks, MDPI, vol. 9(1), pages 1-18, January.
    12. John Knight & Colin Lizieri & Stephen Satchell, 2005. "Diversification When It Hurts? The Joint Distributions of Real Estate and Equity Markets," Real Estate & Planning Working Papers rep-wp2005-16, Henley Business School, University of Reading.
    13. Dorfleitner, Gregor & Fischer, Lukas & Lung, Carina & Willmertinger, Philipp & Stang, Nico & Dietrich, Natalie, 2018. "To follow or not to follow – An empirical analysis of the returns of actors on social trading platforms," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 160-171.
    14. Mendes, Beatriz Vaz de Melo & Lavrado, Rafael Coelho, 2017. "Implementing and testing the Maximum Drawdown at Risk," Finance Research Letters, Elsevier, vol. 22(C), pages 95-100.
    15. John Knight & Colin Lizieri & Stephen Satchell, 2005. "Diversification when It Hurts? The Joint Distributions of Real Estate and Equity Markets1," Journal of Property Research, Taylor & Francis Journals, vol. 22(4), pages 309-323, December.
    16. Mijatović, Aleksandar & Pistorius, Martijn R., 2012. "On the drawdown of completely asymmetric Lévy processes," Stochastic Processes and their Applications, Elsevier, vol. 122(11), pages 3812-3836.
    17. Zabarankin, Michael & Pavlikov, Konstantin & Uryasev, Stan, 2014. "Capital Asset Pricing Model (CAPM) with drawdown measure," European Journal of Operational Research, Elsevier, vol. 234(2), pages 508-517.
    18. Damiano Rossello & Silvestro Lo Cascio, 2021. "A refined measure of conditional maximum drawdown," Risk Management, Palgrave Macmillan, vol. 23(4), pages 301-321, December.

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    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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