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Multi-Asset Portfolio Optimization and Out-of-Sample Performance: An Evaluation of Black-Litterman, Mean Variance and Naïve Diversification Approaches

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  • Wolff, Dominik
  • Bessler, Wolfgang
  • Opfer, Heiko
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    Abstract

    The Black-Litterman (BL) model aims to enhance asset allocation decisions by overcoming the weaknesses of standard mean-variance (MV) portfolio optimization. In this study we implement the BL model in a multi-asset portfolio context. Using an investment universe of global stock indices, bonds, and commodities, we empirically test the out-of-sample portfolio performance of BL optimized portfolios and compare the results to mean-variance (MV), minimum-variance, and naïve diversified portfolios (1/N-rule) for the period from January 1993 to December 2011. We find that BL optimized portfolios perform better than MV and na ve diversified portfolios in terms of out-of-sample Sharpe ratios even after controlling for different levels of risk aversion, realistic investment constraints, and transaction costs. Interestingly, the BL approach is well suited to alleviate most of the shortcomings of MV optimization. The resulting portfolios are less risky, are more diversified across asset classes, and have less extreme asset allocations. Sensitivity analyses indicate that the outperformance of the BL model is due to the consideration of the reliability of return estimates and a lower portfolio turnover. --

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    Bibliographic Info

    Paper provided by Verein für Socialpolitik / German Economic Association in its series Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century with number 62020.

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    Date of creation: 2012
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    Handle: RePEc:zbw:vfsc12:62020

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    Web page: http://www.socialpolitik.org/
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    1. Gerald R. Jensen & Jeffrey M. Mercer, 2003. "New Evidence on Optimal Asset Allocation," The Financial Review, Eastern Finance Association, vol. 38(3), pages 435-454, 08.
    2. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, 03.
    3. Lubo Pástor, . "Portfolio Selection and Asset Pricing Models," CRSP working papers 356, Center for Research in Security Prices, Graduate School of Business, University of Chicago.
    4. Victor DeMiguel & Lorenzo Garlappi & Raman Uppal, 2009. "Optimal Versus Naive Diversification: How Inefficient is the 1-N Portfolio Strategy?," Review of Financial Studies, Society for Financial Studies, vol. 22(5), pages 1915-1953, May.
    5. Javed Iqbal & Robert Brooks & Don U.A. Galagedera, 2008. "Testing Conditional Asset Pricing Models: An Emerging Market Perspective," Monash Econometrics and Business Statistics Working Papers 3/08, Monash University, Department of Econometrics and Business Statistics.
    6. Louis K.C. Chan & Jason Karceski & Josef Lakonishok, 1999. "On Portfolio Optimization: Forecasting Covariances and Choosing the Risk Model," NBER Working Papers 7039, National Bureau of Economic Research, Inc.
    7. Sanford J. Grossman & Zhongquan Zhou, 1993. "Optimal Investment Strategies For Controlling Drawdowns," Mathematical Finance, Wiley Blackwell, vol. 3(3), pages 241-276.
    8. Jorion, Philippe, 1985. "International Portfolio Diversification with Estimation Risk," The Journal of Business, University of Chicago Press, vol. 58(3), pages 259-78, July.
    9. Galema, Rients & Lensink, Robert & Spierdijk, Laura, 2011. "International diversification and Microfinance," Journal of International Money and Finance, Elsevier, vol. 30(3), pages 507-515, April.
    10. Best, Michael J & Grauer, Robert R, 1991. "On the Sensitivity of Mean-Variance-Efficient Portfolios to Changes in Asset Means: Some Analytical and Computational Results," Review of Financial Studies, Society for Financial Studies, vol. 4(2), pages 315-42.
    11. Roon, F.A. de & Nijman, T.E. & Werker, B.J.M., 1998. "Testing for mean-variance spanning with short sales constraints and transaction costs: The case of emerging markets," Discussion Paper 1998-07, Tilburg University, Center for Economic Research.
    12. Pflug, Georg Ch. & Pichler, Alois & Wozabal, David, 2012. "The 1/N investment strategy is optimal under high model ambiguity," Journal of Banking & Finance, Elsevier, vol. 36(2), pages 410-417.
    13. Lubos Pastor & Robert F. Stambaugh, . "Comparing Asset Pricing Models: An Investment Perspective," Rodney L. White Center for Financial Research Working Papers 16-99, Wharton School Rodney L. White Center for Financial Research.
    14. Chiou, Wan-Jiun Paul & Lee, Alice C. & Chang, Chiu-Chi A., 2009. "Do investors still benefit from international diversification with investment constraints?," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(2), pages 448-483, May.
    15. Chan, Louis K C & Karceski, Jason & Lakonishok, Josef, 1999. "On Portfolio Optimization: Forecasting Covariances and Choosing the Risk Model," Review of Financial Studies, Society for Financial Studies, vol. 12(5), pages 937-74.
    16. Cheung, C. Sherman & Miu, Peter, 2010. "Diversification benefits of commodity futures," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(5), pages 451-474, December.
    17. Wolfgang Bessler & Julian Holler & Philipp Kurmann, 2012. "Hedge funds and optimal asset allocation: Bayesian expectations and spanning tests," Financial Markets and Portfolio Management, Springer, vol. 26(1), pages 109-141, March.
    18. Ferreira, Miguel A. & Santa-Clara, Pedro, 2011. "Forecasting stock market returns: The sum of the parts is more than the whole," Journal of Financial Economics, Elsevier, vol. 100(3), pages 514-537, June.
    19. Daskalaki, Charoula & Skiadopoulos, George, 2011. "Should investors include commodities in their portfolios after all? New evidence," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2606-2626, October.
    20. Richard H. Thaler & Shlomo Benartzi, 2001. "Naive Diversification Strategies in Defined Contribution Saving Plans," American Economic Review, American Economic Association, vol. 91(1), pages 79-98, March.
    21. Bekaert, Geert & Urias, Michael S, 1996. " Diversification, Integration and Emerging Market Closed-End Funds," Journal of Finance, American Finance Association, vol. 51(3), pages 835-69, July.
    22. Jorion, Philippe, 1986. "Bayes-Stein Estimation for Portfolio Analysis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 21(03), pages 279-292, September.
    23. Giovanni Petrella, 2005. "Are Euro Area Small Cap Stocks an Asset Class? Evidence from Mean-Variance Spanning Tests," European Financial Management, European Financial Management Association, vol. 11(2), pages 229-253.
    24. Kirby, Chris & Ostdiek, Barbara, 2012. "It’s All in the Timing: Simple Active Portfolio Strategies that Outperform Naïve Diversification," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(02), pages 437-467, April.
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