activity
20162021
most citedStochastic differential equations with irregular coefficients:~mind the gap!

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

collaborators

5 papers

math.NA20212 cited

Stochastic differential equations with irregular coefficients:~mind the gap!

Michaela Szölgyenyi

Numerical methods for stochastic differential equations with non-globally Lipschitz coefficients are currently studied intensively. This article gives an overview of our work for t…

q-fin.MF2020

A deep neural network algorithm for semilinear elliptic PDEs with applications in insurance mathematics

Stefan Kremsner, Alexander Steinicke, Michaela Szölgyenyi

In insurance mathematics optimal control problems over an infinite time horizon arise when computing risk measures. Their solutions correspond to solutions of deterministic semilin…

math.PR2020

Existence and uniqueness of solutions of SDEs with discontinuous drift and finite activity jumps

Paweł Przybyłowicz, Michaela Szölgyenyi, Fanhui Xu

In this letter we prove existence and uniqueness of strong solutions to multi-dimensional SDEs with discontinuous drift and finite activity jumps.

math.NA2019

Existence, uniqueness, and approximation of solutions of jump-diffusion SDEs with discontinuous drift

Paweł Przybyłowicz, Michaela Szölgyenyi

In this paper we study jump-diffusion stochastic differential equations (SDEs) with a discontinuous drift coefficient and a possibly degenerate diffusion coefficient. Such SDEs app…

q-fin.MF2016

Bayesian Dividend Optimization and Finite Time Ruin Probabilities

Gunther Leobacher, Michaela Szölgyenyi, Stefan Thonhauser

We consider the valuation problem of an (insurance) company under partial information. Therefore we use the concept of maximizing discounted future dividend payments. The firm valu…