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On portfolio optimization: imposing the right constraints

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000315538400009.pdf (303.5Kb)
Date
2013-04
Author
Behr, Patrick Gottfried
Guettler, Andre
Miebs, Felix
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Abstract
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.
URI
http://hdl.handle.net/10438/23306
Collections
  • Documentos Indexados pela Web of Science [875]
Knowledge Areas
Finanças
Subject
Análise de variância
Keyword
Portfolio optimization
Shrinkage
Mean squared error
Bootstrap

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