The Dynamic Black-Litterman Approach to Asset Allocation

European Journal of Operational Research, Forthcoming

Posted: 16 Jan 2017

See all articles by Richard D. F. Harris

Richard D. F. Harris

University of Bristol, School of Accounting and Finance; University of Bristol, School of Accounting and Finance

Evarist Stoja

University of Bristol

Linzhi Tan

Nottingham Trent University - Department of Accounting and Finance

Multiple version iconThere are 2 versions of this paper

Date Written: January 2, 2017

Abstract

We generalize the Black–Litterman (BL) portfolio management framework to incorporate time-variation in the conditional distribution of returns in the asset allocation process. We evaluate the performance of the dynamic BL model using both standard performance ratios as well as other measures that are designed to capture tail risk in the presence of non-normally distributed asset returns. We find that the dynamic BL model outperforms a range of different benchmarks. Moreover, we show that the choice of volatility model has a considerable impact on the performance of the dynamic BL model.

Keywords: Finance, Black–Litterman model, Multivariate conditional volatility, Portfolio optimization, Tail risk

JEL Classification: C22, C53, G11

Suggested Citation

Harris, Richard D. F. and Stoja, Evarist and Tan, Linzhi, The Dynamic Black-Litterman Approach to Asset Allocation (January 2, 2017). European Journal of Operational Research, Forthcoming, Available at SSRN: https://ssrn.com/abstract=2898813

University of Bristol, School of Accounting and Finance

United Kingdom

HOME PAGE: http://www.bristol.ac.uk/people/person/Richard-Harris-50ffa5fb-0e86-4458-8e8c-8dace6eb3435/

Evarist Stoja

University of Bristol ( email )

School of Accounting and Finance
8 Woodland Road
Bristol, BS8 1TN
United Kingdom

HOME PAGE: http://sites.google.com/view/evarist-stoja/

Linzhi Tan

Nottingham Trent University - Department of Accounting and Finance ( email )

United Kingdom

Do you have negative results from your research you’d like to share?

Paper statistics

Abstract Views
854
PlumX Metrics