Journalartikel

Jahr der Veröffentlichung: 2017

Seiten: 1-30

Zeitschrift: European Journal of Finance

Bandnummer: 23

Heftnummer: 1

ISSN: 1351-847X

eISSN: 1466-4364

Open Access Status: Green

DOI Link: https://doi.org/10.1080/1351847X.2014.953699

Verlag: Taylor and Francis Group

Abstract: 
The Black-Litterman model aims to enhance asset allocation decisions by overcoming the problems of mean-variance portfolio optimization. We propose a sample-based version of the Black-Litterman model and implement it on a multi-asset portfolio consisting of global stocks, bonds, and commodity indices, covering the period from January 1993 to December 2011. We test its out-of-sample performance relative to other asset allocation models and find that Black-Litterman optimized portfolios significantly outperform naive-diversified portfolios (1/N rule and strategic weights), and consistently perform better than mean-variance, Bayes-Stein, and minimum-variance strategies in terms of out-of-sample Sharpe ratios, even after controlling for different levels of risk aversion, investment constraints, and transaction costs. The BL model generates portfolios with lower risk, less extreme asset allocations, and higher diversification across asset classes. Sensitivity analyses indicate that these advantages are due to more stable mixed return estimates that incorporate the reliability of return predictions, smaller estimation errors, and lower turnover.

Harvard-Zitierstil: Bessler, W., Opfer, H. and Wolff, D. (2017) Multi-asset portfolio optimization and out-of-sample performance: an evaluation of Black-Litterman, mean-variance, and naive diversification approaches, European Journal of Finance, 23(1), pp. 1-30. https://doi.org/10.1080/1351847X.2014.953699

APA-Zitierstil: Bessler, W., Opfer, H., & Wolff, D. (2017). Multi-asset portfolio optimization and out-of-sample performance: an evaluation of Black-Litterman, mean-variance, and naive diversification approaches. European Journal of Finance. 23(1), 1-30. https://doi.org/10.1080/1351847X.2014.953699