Journal of Asset Management, Vol. 11, No. 4, pp. 229-43, February 2011
Posted: 12 Feb 2009 Last revised: 26 Jan 2016
Date Written: February 8, 2009
Active portfolio management is about leveraging forecasts. The Black and Litterman Global Portfolio Optimisation Model (BL) (Black and Litterman, 1992) sets forecast in a Bayesian analytic framework. In this framework, portfolio manager (PM) needs only produce views and the model translates the views into security return forecasts. As a portfolio construction tool, the BL model is appealing both in theory and in practice.
Although there has been no shortage of literature explaining it, the model still appears somehow mysterious and suffers from practical issues.
This paper is dedicated to enabling better understanding of the model itself through: An economic interpretation; A clarification of the model assumptions and formulation; An implementation guidance; A full proof of the main result in the appendix.
To make the model practical, we also discuss a dimension-reduction technique to enable large portfolio applications; and form a checklist of other practical issues that we aim to address in our forthcoming papers.
Keywords: asset allocation, portfolio construction, Bayes' Rule, view blending and shrinkage, CAPM, semi-strong market efficiency, mean-variance optimisation
JEL Classification: C10, C11, C61, G11, G14
Suggested Citation: Suggested Citation
Cheung, Wing, The Black-Litterman Model Explained (February 8, 2009). Journal of Asset Management, Vol. 11, No. 4, pp. 229-43, February 2011. Available at SSRN: https://ssrn.com/abstract=1312664 or http://dx.doi.org/10.2139/ssrn.1312664
By Andrew Ang
By Andrew Ang