4.4 Article

On portfolio optimization: Imposing the right constraints

期刊

JOURNAL OF BANKING & FINANCE
卷 37, 期 4, 页码 1232-1242

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ELSEVIER SCIENCE BV
DOI: 10.1016/j.jbankfin.2012.11.020

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Portfolio optimization; Shrinkage; Mean squared error; Bootstrap

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We reassess the recent finding that no established portfolio strategy outperforms the naively diversified portfolio, 1/N, by developing a constrained minimum-variance portfolio strategy on a shrinkage theory based framework. Our results show that our constrained minimum-variance portfolio yields significantly lower out-of-sample variances than many established minimum-variance portfolio strategies. Further, we observe that our portfolio strategy achieves higher Sharpe ratios than 1/N, amounting to an average Sharpe ratio increase of 32.5% across our six empirical datasets. We find that our constrained minimum-variance strategy is the only strategy that achieves the goal of improving the Sharpe ratio of 1/N consistently and significantly. At the same time, our developed portfolio strategy achieves a comparatively low turnover and exhibits no excessive short interest. (C) 2012 Elsevier B.V. All rights reserved.

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