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On the feasibility of portfolio optimization under expected shortfall 

Authors: Stefano Ciliberti a;  Imre Kondor b; Marc Meacutezard a
Affiliations:   a CNRS, Orsay Cedex F-91405, France
b Collegium Budapest, 1014 Budapest, Hungary
DOI: 10.1080/14697680701422089
Publication Frequency: 8 issues per year
Published in: journal Quantitative Finance, Volume 7, Issue 4 August 2007 , pages 389 - 396
Formats available: HTML (English) : PDF (English)
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Abstract

We address the problem of portfolio optimization under the simplest coherent risk measure, i.e. the expected shortfall. As is well known, one can map this problem into a linear programming setting. For some values of the external parameters, when the available time series is too short, portfolio optimization is ill-posed because it leads to unbounded positions, infinitely short on some assets and infinitely long on others. As first observed by Kondor and coworkers, this phenomenon is actually a phase transition. We investigate the nature of this transition by means of a replica approach.
Keywords: Statistical physics; Finance; Portfolio optimization; Quantitative finance; Correlation modelling; Critical phenomena; Risk measures
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