activity
20132023
most citedBayesian Dividend Optimization and Finite Time Ruin Probabilities

9 citations · 31 across the 9 of their papers we have counts for

collaborators

12 papers

math.PR2023★ 1 cited

Exact asymptotics of ruin probabilities with linear Hawkes arrivals

Zbigniew Palmowski, Simon Pojer, Stefan Thonhauser

In this paper we determine bounds and exact asymptotics of the ruin probability for risk process with arrivals given by a linear marked Hawkes process. We consider the light-tailed…

math.PR2022

Ruin Probabilities in a Markovian Shot-Noise Environment

Simon Pojer, Stefan Thonhauser

We consider a risk model with a counting process whose intensity is a Markovian shot-noise process, to resolve one of the disadvantages of the Cramér-Lundberg model, namely the con…

math.PR2021★ 4 cited

A mean-field extension of the LIBOR market model

Sascha Desmettre, Simon Hochgerner, Sanela Omerovic +1

We introduce a mean-field extension of the LIBOR market model (LMM) which preserves the basic features of the original model. Among others, these features are the martingale proper…

math.OC2021

Time-inconsistent view on a dividend problem with penalty

Josef Anton Strini, Stefan Thonhauser

We consider the dividend maximization problem including a ruin penalty in a diffusion environment. The additional penalty term is motivated by a constraint on dividend strategies.…

q-fin.PM2019

On a dividend problem with random funding

Josef Anton Strini, Stefan Thonhauser

We consider a modification of the dividend maximization problem from ruin theory. Based on a classical risk process we maximize the difference of expected cumulated discounted divi…

math.OC2018

Optimal Reinsurance for Gerber-Shiu Functions in the Cramer-Lundberg Model

Michael Preischl, Stefan Thonhauser

Complementing existing results on minimal ruin probabilities, we minimize expected discounted penalty functions (or Gerber-Shiu functions) in a Cramer-Lundberg model by choosing op…