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Efficient frontier for robust higher-order moment portfolio selection

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Author Info
Emmanuel F. Jurczenko () (ESCP-EAP)
Bertrand Maillet () (A.A.Advisors-QCG (ABN AMRO)Variances, Centre d'Economie de la Sorbonne et EIF)
Paul M. Merlin () (A.A.Advisors ( ABN AMRO) Variances et Centre d'Economie de la Sorbonne)
Abstract

This article proposes a non-parametric portfolio selection criterion for the static asset allocation problem in a robust higher-moment framework. Adopting the Shortage Function approach, we generalize the multi-objective optimization technique in a four-dimensional space using L-moments, and focus on various illustrations of a four-dimensional set of the first four L-moment primal efficient portfolios. our empirical findings, using a large European stock database, mainly rediscover the earlier works by Jean (1973) and Ingersoll (1975), regarding the shape of the extended higher-order moment efficient frontier, and confirm the seminal prediction by Levy and Markowitz (1979) about the accuracy of the mean-variance criterion.

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File URL: ftp://mse.univ-paris1.fr/pub/mse/CES2008/Bla08062.pdf
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Publisher Info
Paper provided by Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne in its series Documents de travail du Centre d'Economie de la Sorbonne with number bla08062.

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Length: 70 pages
Date of creation: Oct 2008
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Handle: RePEc:mse:cesdoc:bla08062

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Web page: http://ces.univ-paris1.fr/
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Related research
Keywords: Efficient frontier; portfolio selection; robust higher L-moments; shortage function; goal attainment application.;

Find related papers by JEL classification:
G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies
C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
G12 - Financial Economics - - General Financial Markets - - - Asset Pricing

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