Model Spaces for Risk Measures

Felix-Benedikt Liebrich and Gregor Svindland

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Abstract: We show how risk measures originally defined in a model free framework in terms of acceptance sets and reference assets imply a meaningful underlying probability structure. Hereafter we construct a maximal domain of definition of the risk measure respecting the underlying ambiguity profile. We particularly emphasise liquidity effects and discuss the correspondence between properties of the risk measure and the structure of this domain as well as subdifferentiability properties. Keywords: Model free risk assessment, extension of risk measures, continuity properties of risk measures, subgradients.

Date: 2017-03, Revised 2017-11
New Economics Papers: this item is included in nep-rmg and nep-upt
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Citations: View citations in EconPapers (12)

Published in Insurance: Mathematics and Economics, Vol. 77, pp. 150-165 (2017)

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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1703.01137

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