Search Results for author: Michael Kupper

Found 6 papers, 2 papers with code

Risk measures based on weak optimal transport

1 code implementation10 Dec 2023 Michael Kupper, Max Nendel, Alessandro Sgarabottolo

In this paper, we study convex risk measures with weak optimal transport penalties.

Duality Theory for Robust Utility Maximisation

no code implementations16 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.

Martingale transport with homogeneous stock movements

no code implementations27 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.

Robust risk aggregation with neural networks

no code implementations1 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.

Computation of optimal transport and related hedging problems via penalization and neural networks

1 code implementation23 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.

Portfolio Optimization

Duality for pathwise superhedging in continuous time

no code implementations8 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.

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