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20232026
most citedConvergence rates for Chernoff-type approximations of convex monotone semigroups

1 citations · 2 across the 6 of their papers we have counts for

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6 papers

q-fin.MF2026

An optimal transport foundation for a class of dynamically consistent risk measures

Sven Fuhrmann, Michael Kupper, Max Nendel

We study a class of dynamically consistent risk measures that robustify a time-homogeneous Markovian reference model by allowing for distributional uncertainty in its transition la…

math.OC2025

Hopf-Lax approximation for value functions of Lévy optimal control problems

Michael Kupper, Max Nendel, Alessandro Sgarabottolo

In this paper, we investigate stochastic versions of the Hopf-Lax formula which are based on compositions of the Hopf-Lax operator with the transition kernel of a Lévy process taki…

q-fin.MF2024★ 1 cited

Discrete approximation of risk-based prices under volatility uncertainty

Jonas Blessing, Michael Kupper, Alessandro Sgarabottolo

We discuss the asymptotic behaviour of risk-based indifference prices of European contingent claims in discrete-time financial markets under volatility uncertainty as the number of…

math.FA2024

Evolutionary semigroups on path spaces

Robert Denk, Markus Kunze, Michael Kupper

We introduce the concept evolutionary semigroups on path spaces, generalizing the notion of transition semigroups to possibly non-Markovian stochastic processes. We study the basic…

q-fin.MF2023

Risk measures based on weak optimal transport

Michael Kupper, Max Nendel, Alessandro Sgarabottolo

In this paper, we study convex risk measures with weak optimal transport penalties. In a first step, we show that these risk measures allow for an explicit representation via a non…

math.PR2023★ 1 cited

Convergence rates for Chernoff-type approximations of convex monotone semigroups

Jonas Blessing, Lianzi Jiang, Michael Kupper +1

We provide explicit convergence rates for Chernoff-type approximations of convex monotone semigroups which have the form for bounded con…