Portfolio Optimization with Quasiconvex Risk Measures

25 Pages Posted: 21 Jun 2013

See all articles by Elisa Mastrogiacomo

Elisa Mastrogiacomo

University of Insubria

Emanuela Rosazza Gianin

University of Milano-Bicocca - Dip. di Statistica e Metodi Quantitativi

Date Written: June 20, 2013

Abstract

In this paper, we focus on the portfolio optimization problem associated to a quasiconvex risk measure (satisfying some additional assumptions). For coherent/convex risk measures, the portfolio optimization problem has been already studied by Gaivoronski and Pflug (2005), Rockafellar and Uryasev (2000) and Ruszczynski and Shapiro (2006), among others. Following the approach of Ruszczynski and Shapiro (2006) but by means of quasiconvex analysis and notions of subdifferentiability, we characterize optimal solutions of the portfolio problem associated to quasiconvex risk measures. The shape of the efficient frontier in the mean-risk space and some particular cases are also investigated.

Keywords: quasiconvex risk measures, portfolio optimization, convex risk measures, efficient frontier

JEL Classification: C61, G11

Suggested Citation

Mastrogiacomo, Elisa and Rosazza Gianin, Emanuela, Portfolio Optimization with Quasiconvex Risk Measures (June 20, 2013). Available at SSRN: https://ssrn.com/abstract=2282472 or http://dx.doi.org/10.2139/ssrn.2282472

Elisa Mastrogiacomo

University of Insubria ( email )

Via Ravasi 2
Varese, 21100 21100
Italy

Emanuela Rosazza Gianin (Contact Author)

University of Milano-Bicocca - Dip. di Statistica e Metodi Quantitativi ( email )

Milan
Italy

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