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Maximum Drawdown and the Allocation to Real Estate

Author

Listed:
  • Foort HAMELINK

    (Lombard Odier Darier Hentsch, Vrije Universiteit and FAME)

  • Martin HOESLI

    (HEC-University of Geneva, FAME, and University of Aberdeen (School of Business))

Abstract

We investigate the role of real estate in a mixed-asset portfolio when the maximum drawdown (hereafter MaxDD), rather than the standard deviation, is used as the measure of risk. In particular, we analyse 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. We show that most portfolios optimised in Return/MaxDD space, rather than in Return/Standard Deviation space, yield a much lower MaxDD, while only a slightly higher standard deviation (for the same level of return). The reduction in MaxDD is highest for portfolios situated half-way on the efficient frontier, typically close to those held by pension funds. 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, 2003. "Maximum Drawdown and the Allocation to Real Estate," FAME Research Paper Series rp87, International Center for Financial Asset Management and Engineering.
    • Handle: RePEc:fam:rpseri:rp87
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    File URL: http://www.swissfinanceinstitute.ch/rp87.pdf
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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. 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.
    3. 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.
    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. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Christian Pierdzioch & Daniel Hartmann, 2013. "Forecasting Eurozone real-estate returns," Applied Financial Economics, Taylor & Francis Journals, vol. 23(14), pages 1185-1196, July.
    11. David Landriault & Bin Li & Hongzhong Zhang, 2014. "On the Frequency of Drawdowns for Brownian Motion Processes," Papers 1403.1183, arXiv.org.
    12. 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.
    13. 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.
    14. Damiano Rossello & Silvestro Lo Cascio, 2021. "A refined measure of conditional maximum drawdown," Risk Management, Palgrave Macmillan, vol. 23(4), pages 301-321, December.
    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. 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.
    17. Tavakoli Baghdadabad, Mohammad Reza, 2014. "Average drawdown risk reduction and risk tolerances," Research in Economics, Elsevier, vol. 68(3), pages 264-276.
    18. 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.

    More about this item

    Keywords

    Maximum Drawdown; Downside Risk; Portfolio Diversification; Real Estate;
    All these keywords.

    JEL classification:

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

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