Research Repository

Distributional Transforms, Probability Distortions, and Their Applications

Liu, Peng and Schied, Alexander and Wang, Ruodu (2021) 'Distributional Transforms, Probability Distortions, and Their Applications.' Mathematics of Operations Research. ISSN 0364-765X

[img]
Preview
Text
DistributionalTransforms_MORF.pdf - Accepted Version

Download (538kB) | Preview

Abstract

<jats:p> In this paper we provide a general mathematical framework for distributional transforms, which allows for many examples that are used extensively in the literature of finance, economics, and optimization. We put a special focus on the class of probability distortions, which is a fundamental tool in decision theory. As our main results, we characterize distributional transforms satisfying various properties, and this includes an equivalent set of conditions which forces a distributional transform to be a probability distortion. As the first application, we construct new risk measures using distributional transforms. Sufficient and necessary conditions are given to ensure the convexity or coherence of the generated risk measures. In the second application, we introduce a new method for sensitivity analysis of risk measures based on composition groups of probability distortions. Finally, we construct probability distortions describing a change of measures with an example in option pricing. </jats:p>

Item Type: Article
Divisions: Faculty of Science and Health > Mathematical Sciences, Department of
Depositing User: Elements
Date Deposited: 17 Aug 2020 20:44
Last Modified: 22 Mar 2021 14:15
URI: http://repository.essex.ac.uk/id/eprint/28175

Actions (login required)

View Item View Item