On the feasibility of portfolio optimization under expected shortfall
Authors:
Stefano Ciliberti a;
Imre Kondor b;
Marc M
zard a
zard 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
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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.
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| Keywords: Statistical physics; Finance; Portfolio optimization; Quantitative finance; Correlation modelling; Critical phenomena; Risk measures |
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