The Black-Litterman model: Active risk targeting and the parameter tau

被引:4
作者
O'Toole R. [1 ]
机构
[1] Federated Investors, New York, NY
关键词
Active risk targeting; Black-Litterman; Mean-variance optimization; Tau;
D O I
10.1057/s41260-017-0055-6
中图分类号
学科分类号
摘要
There is apparent persistent confusion over certain aspects of Black-Litterman expected returns, with a number of publications offering various explanations, clarifications, and criticisms as to how the model works in practice. The parameter tau (τ) has proved to be a particularly confounding feature of the model: A wide range of opinions and suggestions on how to interpret and quantify tau has accumulated in the literature and includes some harsh condemnation of Black-Litterman specifically related to tau. This article presents a simple interpretation of tau, shows that it is directly related to the level of active risk implicit in the Black-Litterman model, and is easily calibrated so that Black-Litterman expected returns produce portfolios with targeted levels of active risk. The main contribution is an alternative derivation of Black-Litterman that affords a direct way to target active risk without requiring a specific value for tau. This derivation reveals that portfolio construction using Black-Litterman is equivalent to creating a mean-variance optimal portfolio of active strategies that is then overlaid onto a benchmark portfolio, and by targeting active risk directly, users of the Black-Litterman model do not need to consider tau at all. © 2017 Macmillan Publishers Ltd.
引用
收藏
页码:580 / 587
页数:7
相关论文
共 31 条
[1]  
Allaj E., The Black-Litterman model: A consistent estimation of the parameter tau, Financial Markets and Portfolio Management, 27, 2, pp. 217-251, (2013)
[2]  
Becker T., The Black-Litterman model: An introduction for the practitioner, Investments and Wealth Monitor (January/February), pp. 21-24, (2009)
[3]  
Best M.J., Grauer R.R., On the sensitivity of meanvariance-efficient portfolios to changes in asset means: Some analytical and computational results, The Review of Financial Studies, 4, 2, pp. 315-342, (1991)
[4]  
Bevan A., Winkelmann K., Using the Black-Litterman global asset allocation model: Three years of practical experience, Goldman Sachs Fixed Income Research Series, (1998)
[5]  
Black F., Litterman R., Asset allocation: Combining investor views with market equilibrium, Journal of Fixed Income, 1, 2, pp. 7-18, (1991)
[6]  
Black F., Litterman R., Global portfolio optimization, Financial Analysts Journal, 48, 5, pp. 28-43, (1992)
[7]  
Blamont D., Firoozye N., Bayesian Asset Allocation: Black-Litterman, (2003)
[8]  
Cheung W., The Black-Litterman model explained, Journal of Asset Management, 11, 4, pp. 229-243, (2010)
[9]  
Da Silva A.S., Lee W., Pornrojnangkool B., The Black-Litterman model for active portfolio management, Journal of Portfolio Management, 35, 2, pp. 61-70, (2009)
[10]  
Fabozzi F.J., Focardi S.M., Kolm P.N., Incorporating trading strategies in the Black-Litterman framework, Journal of Trading, 1, 2, pp. 28-37, (2006)