Set-valued risk measures for conical market models
Andreas H. Hamel, Frank Heyde, Birgit Rudloff

TL;DR
This paper introduces set-valued risk measures for conical market models, providing primal and dual representations, and shows how scalar risk measures with multiple assets are special cases within this framework.
Contribution
It develops a comprehensive set-valued risk measure framework for conical market models, including primal and dual representations, and unifies scalar and set-valued risk measures.
Findings
Collection of super-hedging initial endowments forms set-valued coherent risk measures.
Scalar risk measures with multiple assets are special cases of the set-valued framework.
Primal and dual representation results are established for these risk measures.
Abstract
Set-valued risk measures on with for conical market models are defined, primal and dual representation results are given. The collection of initial endowments which allow to super-hedge a multivariate claim are shown to form the values of a set-valued sublinear (coherent) risk measure. Scalar risk measures with multiple eligible assets also turn out to be a special case within the set-valued framework.
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Taxonomy
TopicsRisk and Portfolio Optimization · Stochastic processes and financial applications · Financial Risk and Volatility Modeling
