activity
20172021
most citedModelling and simulation of dependence structures in nonlife insurance with Bernstein copulas

10 citations · 45 across the 9 of their papers we have counts for

collaborators

9 papers

q-fin.RM2021

Insurance Business and Sustainable Development

Dietmar Pfeifer, Vivien Langen

In this study, we will discuss recent developments in risk management of the global financial and insurance business with respect to sustainable development. So far climate change…

q-fin.RM2020

Generating unfavourable VaR scenarios with patchwork copulas

Dietmar Pfeifer, Olena Ragulina

The central idea of the paper is to present a general simple patchwork construction principle for multivariate copulas that create unfavourable VaR (i.e. Value at Risk) scenarios w…

q-fin.RM2020★ 7 cited

Adaptive Bernstein Copulas and Risk Management

Dietmar Pfeifer, Olena Ragulina

We present a constructive approach to Bernstein copulas with an admissible discrete skeleton in arbitrary dimensions when the underlying marginal grid sizes are smaller than the nu…

stat.ME2020★ 10 cited

Modelling and simulation of dependence structures in nonlife insurance with Bernstein copulas

Dietmar Pfeifer, Doreen Strassburger, Joerg Philipps

In this paper we review Bernstein and grid-type copulas for arbitrary dimensions and general grid resolutions in connection with discrete random vectors possessing uniform margins.…

stat.AP2019★ 3 cited

Modellvalidierung mit Hilfe von Quantil-Quantil-Plots unter Solvency II (Model validation on the basis of quantile-quantile-plots under Solvency II)

Dietmar Pfeifer

After several years of development, the Solvency II-project has finally been set to work in the European Union with the beginning of the year 2016. This has caused massive changes…

q-fin.RM2018★ 8 cited

Generating VaR scenarios with product beta distributions

Dietmar Pfeifer, Olena Ragulina

We propose a Monte Carlo simulation method to generate stress tests by VaR scenarios under Solvency II for dependent risks on the basis of observed data. This is of particular inte…