There is now an increasingly large number of proposed concordance measures available to capture, measure and quantify different notions of dependence in stochastic processes. However, evaluation of concordance measures to quantify such types of dependence for different copula models can be...

This paper discusses different classes of loss models in non-life insurance settings. It then overviews the class Tukey transform loss models that have not yet been widely considered in non-life insurance modelling, but offer opportunities to produce flexible skewness and kurtosis features often...

Supplementary material available at: "https://ssrn.com/abstract=3312707" https://ssrn.com/abstract=3312707We develop extensions that introduce regression structure to the multi-factor stochastic models of commodity futures price term structure dynamics. We demonstrate the accuracy with which...

This book is a one-stop guide for the theories, applications, and statistical methodologies essential to operational risk. Providing a complete overview of operational risk modeling and relevant insurance analytics, Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of...

The main objective of this work is to develop a detailed step-by-step guide to the development and application of a new class of efficient Monte Carlo methods to solve practically important problems faced by insurers under the new solvency regulations. In particular, a novel Monte Carlo method...

We develop a new multi-curve modelling framework for the term-structure of interest rates that can generate consistent cross-country stressed scenarios allowing for significant spillover effects between economies. Modern models of the term structure of interest rates typically fail to capture...