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20212023
most citedMarkov selections and Feller properties of nonlinear diffusions

3 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

math.PR2023

A stochastic representation theorem for sublinear semigroups with non-local generators

David Criens, Lars Niemann

In this paper we investigate sublinear semigroups whose pointwise generators are given by non-local Hamilton-Jacobi-Bellman operators. Our main result provides a stochastic represe…

math.PR2023★ 1 cited

Nonlinear Semimartingales and Markov Processes with Jumps

David Criens, Lars Niemann

In this paper we study a family of nonlinear (conditional) expectations that can be understood as a semimartingale with uncertain local characteristics. Here, the differential char…

q-fin.MF2022

Robust utility maximization with nonlinear continuous semimartingales

David Criens, Lars Niemann

In this paper we study a robust utility maximization problem in continuous time under model uncertainty. The model uncertainty is governed by a continuous semimartingale with uncer…

math.PR2022

A class of multidimensional nonlinear diffusions with the Feller property

David Criens, Lars Niemann

In this note we consider a family of nonlinear (conditional) expectations that can be understood as a multidimensional diffusion with uncertain drift and certain volatility. Here,…

math.PR2022★ 3 cited

Markov selections and Feller properties of nonlinear diffusions

David Criens, Lars Niemann

In this paper we study a family of nonlinear (conditional) expectations that can be understood as a diffusion with uncertain local characteristics. Here, the differential character…

math.PR2022

Nonlinear Continuous Semimartingales

David Criens, Lars Niemann

In this paper we study a family of nonlinear (conditional) expectations that can be understood as a continuous semimartingale with uncertain local characteristics. Here, the differ…

q-fin.MF2021

A conditional version of the second fundamental theorem of asset pricing in discrete time

Lars Niemann, Thorsten Schmidt

We consider a financial market in discrete time and study pricing and hedging conditional on the information available up to an arbitrary point in time. In this conditional framewo…