1 code implementation • 10 Dec 2023 • Michael Kupper, Max Nendel, Alessandro Sgarabottolo
In this paper, we study convex risk measures with weak optimal transport penalties.
no code implementations • 16 Jul 2020 • Daniel Bartl, Michael Kupper, Ariel Neufeld
In this paper we present a duality theory for the robust utility maximisation problem in continuous time for utility functions defined on the positive real axis.
no code implementations • 27 Aug 2019 • Stephan Eckstein, Michael Kupper
We study a variant of the martingale optimal transport problem in a multi-period setting to derive robust price bounds of a financial derivative.
no code implementations • 1 Nov 2018 • Stephan Eckstein, Michael Kupper, Mathias Pohl
We work with the set of distributions that are both close to the given reference measure in a transportation distance (e. g. the Wasserstein distance), and additionally have the correct marginal structure.
1 code implementation • 23 Feb 2018 • Stephan Eckstein, Michael Kupper
This paper presents a widely applicable approach to solving (multi-marginal, martingale) optimal transport and related problems via neural networks.
no code implementations • 8 May 2017 • Daniel Bartl, Michael Kupper, David J. Prömel, Ludovic Tangpi
If the sample space is stable under stopping, the probabilistic problem reduces to finding the supremum over all martingale measures with compact support.