JMF  Vol.3 No.1 A , March 2013
Uses and Misuses of the Black-Litterman Model in Portfolio Construction
ABSTRACT

The Black-Litterman model has gained popularity in applications in the area of quantitative equity portfolio management. Unfortunately, many recent applications of the Black-Litterman to novel aspects of quantitative portfolio management have neglected the rigor of the original Black-Litterman modelling. In this article, we critically examine some of these applications from a Bayesian perspective. We identify three reasons why these applications may create losses to investors. These three reasons are: 1) Using a prior without anchoring the prior to an equilibrium model; 2) Using a prior and an equilibrium model that conflict with one another; and 3) Ignoring the implications of the estimation error of the variance-covariance matrix. We also quantify the loss first analytically and also numerically based on historical data on 10 major world stock market indices. Our conservative estimate of the loss is around a 1% reduction in the annualized return of the portfolio.

 


Cite this paper
L. Chincarini and D. Kim, "Uses and Misuses of the Black-Litterman Model in Portfolio Construction," Journal of Mathematical Finance, Vol. 3 No. 1, 2013, pp. 153-164. doi: 10.4236/jmf.2013.31A015.
References
[1]   G. L. He and R. Litterman, “The Intuition Behind the Black-Litterman Model Portfolios,” Goldman Sachs Working Paper, 1999.

[2]   F. Black and R. Litterman, “Global Portfolio Optimization,” Financial Analysts Journal, Vol. 48, No. 5, 1992, pp. 28-43. doi:10.2469/faj.v48.n5.28

[3]   L. B. Chincarini and D. Kim, “Quantitative Equity Portfolio Management,” McGraw-Hill, New York, 2006.

[4]   R. C. Jones, T. Lim and P. J. Zangari. “The Black-Litterman Model for Structured Equity Portfolios,” Journal of Portfolio Management, Vol. 33, No. 2, 2007, pp. 24-43. doi:10.3905/jpm.2007.674791

[5]   F. J. Fabozzi, S. M. Focardi and P. Kolm, “Incorporating Trading Strategies into the Black-Litterman Framework,” Journal of Trading, Vol. 1, No. 2, 2006, pp. 28-37.

[6]   S. Satchell and A. Scowcroft, “A Demystification of the Black-Litterman Model: Managing Quantitative and Traditional Portfolio Construction,” Journal of Asset Management, Vol. 1, 2000, pp. 138-150. doi:10.1057/palgrave.jam.2240011

[7]   A. Zellner, “An Introduction to Bayesian Inference in Econometrics,” John-Wiley and Sons, Hoblken, 1971.

[8]   G. Koop, “Bayesian Econometrics,” John-Wiley and Sons, Hoblken, 2003.

[9]   A. Meucci, “Fully Flexible Views: Theory and Practice,” Risk Magazine, Vol. 21, No. 10, 2008, pp. 97-102.

 
 
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