Optimal mean-variance portfolio selection using Cauchy-Schwarz maximization

Hsin Hung Chen, Hsien Tang Tsai, Dennis K.J. Lin

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Fund managers highly prioritize selecting portfolios with a high Sharpe ratio. Traditionally, this task can be achieved by revising the objective function of the Markowitz mean-variance portfolio model and then resolving quadratic programming problems to obtain the maximum Sharpe ratio portfolio. This study presents a closed-form solution for the optimal Sharpe ratio portfolio by applying Cauchy-Schwarz maximization and the concept of Kuhn-Tucker conditions. An empirical example is used to demonstrate the efficiency and effectiveness of the proposed algorithms. Moreover, the proposed algorithms can also be used to obtain the optimal portfolio containing large numbers of securities, which is not possible, or at least is complicated via traditional quadratic programming approaches.

Original languageEnglish (US)
Pages (from-to)2795-2801
Number of pages7
JournalApplied Economics
Volume43
Issue number21
DOIs
StatePublished - Aug 1 2011

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Sharpe ratio
Portfolio selection
Mean-variance portfolios
Quadratic programming
Fund managers
Portfolio model
Optimal portfolio
Closed-form solution
Objective function

All Science Journal Classification (ASJC) codes

  • Economics and Econometrics

Cite this

Chen, Hsin Hung ; Tsai, Hsien Tang ; Lin, Dennis K.J. / Optimal mean-variance portfolio selection using Cauchy-Schwarz maximization. In: Applied Economics. 2011 ; Vol. 43, No. 21. pp. 2795-2801.
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Optimal mean-variance portfolio selection using Cauchy-Schwarz maximization. / Chen, Hsin Hung; Tsai, Hsien Tang; Lin, Dennis K.J.

In: Applied Economics, Vol. 43, No. 21, 01.08.2011, p. 2795-2801.

Research output: Contribution to journalArticle

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