Maximum drawdown and the allocation to real estate

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.

[1]  H. R. Fogler.  20% in Real Estate: Can Theory Justify it? , 1984 .

[2]  James Webb,et al.  Stationarity and Cointegration in Systems with Real Estate and Financial Assets , 1999 .

[3]  D. Sornette,et al.  The US 2000‐2002 market descent: How much longer and deeper? , 2002, cond-mat/0209065.

[4]  James Webb,et al.  The Bootstrap Efficient Frontier for Mixed‐Asset Portfolios , 1996 .

[5]  C. Leishman,et al.  The long‐run diversification attributes of commercial property , 2002 .

[6]  Didier Sornette,et al.  Large Stock Market Price Drawdowns are Outliers , 2000, cond-mat/0010050.

[7]  Martin Hoesli,et al.  Property Investment: Principles and Practice of Portfolio Management , 2000 .

[8]  R. Thaler,et al.  Further Evidence On Investor Overreaction and Stock Market Seasonality , 1987 .

[9]  P. Frost,et al.  For better performance , 1988 .

[10]  Tsong-Yue Lai,et al.  Appraisal Smoothing: The Other Side of the Story , 1998 .

[11]  Martin Hoesli,et al.  International Evidence on Real Estate as a Portfolio Diversifier , 2003 .

[12]  David Geltner,et al.  Controlling for the Impact of Variable Liquidity in Commercial Real Estate Price Indices , 2003 .

[13]  Richard M. Ennis,et al.  Pension Fund Real Estate Investment Under a Simple Equilibrium Pricing Model , 1991 .

[14]  Sanford J. Grossman,et al.  OPTIMAL INVESTMENT STRATEGIES FOR CONTROLLING DRAWDOWNS , 1993 .

[15]  Martin Hoesli,et al.  An examination of the role of Geneva and Zurich housing in Swiss institutional portfolios , 1997 .

[16]  Martin Hoesli,et al.  EUROPEAN PAPER: Diversification of Swiss portfolios with real estate, Results based on a hedonic index , 1996 .

[17]  Elizabeth Yobaccio,et al.  Measuring the Significance of Diversification Gains , 1998 .

[18]  J. Shilling,et al.  Real Estate Asset Allocations and International Real Estate Markets , 1998 .

[19]  W. Ziemba,et al.  The Effect of Errors in Means, Variances, and Covariances on Optimal Portfolio Choice , 1993 .

[20]  J. Kallberg,et al.  The Role of Real Estate in the Portfolio Allocation Process , 1996 .

[21]  J. Shilling,et al.  Pension-Plan Real Estate Investment in an Asset–Liability Framework , 2000 .

[22]  Norman G. Miller,et al.  Commercial Real Estate Analysis and Investments , 2000 .

[23]  Marvin L. Wolverton,et al.  A Longitudinal Examination of the Appraisal Smoothing Hypothesis , 1998 .

[24]  Philippe Jorion.  Bayes-Stein Estimation for Portfolio Analysis , 1986, Journal of Financial and Quantitative Analysis.

[25]  S. Stevenson.  Bayes-Stein Estimators and International Real Estate Asset Allocation , 2001 .

[26]  Sergei Maslov,et al.  Probability Distribution of Drawdowns in Risky Investments , 1998 .

[27]  Didier Sornette,et al.  2000-2003 Real Estate Bubble in the UK but not in the USA , 2003 .

[28]  Philippe Jorion.  International Portfolio Diversification with Estimation Risk , 1985 .

[29]  David Geltner,et al.  Temporal Aggregation in Real Estate Return Indices , 1993 .

[30]  Recovery of Real Estate Returns for Portfolio Allocation , 1999 .

[31]  D. Geltner,et al.  Appraisal Smoothing and Price Discovery in Real Estate Markets , 2003 .