Geometrical framework for robust portfolio optimization

Pavel Bazovkin

No 01/14, Discussion Papers in Econometrics and Statistics from University of Cologne, Institute of Econometrics and Statistics

Abstract: We consider a vector-valued multivariate risk measure that depends on the user's profile given by the user's utility. It is constructed on the basis of weighted-mean trimmed regions and represents the solution of an optimization problem. The key feature of this measure is convexity. We apply the measure to the portfolio selection problem, employing different measures of performance as objective functions in a common geometrical framework.

Keywords: Multivariate risk measure; robust portfolio optimization; weighted-mean trimmed regions; data central regions; convex risk measure; distortion risk measure (search for similar items in EconPapers)
Date: 2014
New Economics Papers: this item is included in nep-upt
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