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Stochastic programming with multivariate second order stochastic dominance constraints with applications in portfolio optimization

Stochastic programming with multivariate second order stochastic dominance constraints with applications in portfolio optimization
Stochastic programming with multivariate second order stochastic dominance constraints with applications in portfolio optimization
In this paper we study optimization problems with multivariate stochastic dominance constraints where the underlying functions are not necessarily linear. These problems are important in multicriterion decision making, since each component of vectors can be interpreted as the uncertain outcome of a given criterion. We propose a penalization scheme for the multivariate second order stochastic dominance constraints. We solve the penalized problem by the level function methods, and a modified cutting plane method and compare them to the cutting surface method proposed in the literature. The proposed numerical schemes are applied to a generic budget allocation problem and a real world portfolio optimization problem.
multivariate stochastic dominance, second order dominance, slater constraint qualification, level function method, penalty method, portfolio optimization 90C15 90C90
0095-4616
111-140
Meskarian, Rudabeh
932d1dac-784b-4f24-bdda-5ea34a16d8a2
Fliege, Jörg
54978787-a271-4f70-8494-3c701c893d98
Xu, Huifu
d3200e0b-ad1d-4cf7-81aa-48f07fb1f8f5
Meskarian, Rudabeh
932d1dac-784b-4f24-bdda-5ea34a16d8a2
Fliege, Jörg
54978787-a271-4f70-8494-3c701c893d98
Xu, Huifu
d3200e0b-ad1d-4cf7-81aa-48f07fb1f8f5

Meskarian, Rudabeh, Fliege, Jörg and Xu, Huifu (2014) Stochastic programming with multivariate second order stochastic dominance constraints with applications in portfolio optimization. Applied Mathematics & Optimization, 70 (1), 111-140. (doi:10.1007/s00245-014-9236-6).

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Abstract

In this paper we study optimization problems with multivariate stochastic dominance constraints where the underlying functions are not necessarily linear. These problems are important in multicriterion decision making, since each component of vectors can be interpreted as the uncertain outcome of a given criterion. We propose a penalization scheme for the multivariate second order stochastic dominance constraints. We solve the penalized problem by the level function methods, and a modified cutting plane method and compare them to the cutting surface method proposed in the literature. The proposed numerical schemes are applied to a generic budget allocation problem and a real world portfolio optimization problem.

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e-pub ahead of print date: 11 February 2014
Published date: 1 August 2014
Keywords: multivariate stochastic dominance, second order dominance, slater constraint qualification, level function method, penalty method, portfolio optimization 90C15 90C90
Organisations: Operational Research

Identifiers

Local EPrints ID: 369666
URI: http://eprints.soton.ac.uk/id/eprint/369666
ISSN: 0095-4616
PURE UUID: fd8e83f9-17eb-457d-a296-896d0efc3578
ORCID for Jörg Fliege: ORCID iD orcid.org/0000-0002-4459-5419
ORCID for Huifu Xu: ORCID iD orcid.org/0000-0001-8307-2920

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Date deposited: 08 Oct 2014 12:52
Last modified: 15 Mar 2024 03:30

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Contributors

Author: Rudabeh Meskarian
Author: Jörg Fliege ORCID iD
Author: Huifu Xu ORCID iD

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