Since 1989, Paul Embrechts has been Professor of (Insurance) Mathematics at the ETH Zurich, director of RiskLab and, since 2009, also Senior Chair of the Swiss Finance Institute. Besides numerous academic distinctions, he holds an Honorary Doctorate from the Universities of Waterloo, Heriot-Watt, Louvain, and City, the University of London. Previous academic positions were KU Leuven, the University of Limburg, Imperial College London and the London School of Economics. Dr Embrechts served as an independent director on the boards of companies in banking and insurance and co-authored the influential books "Modelling Extremal Events for Insurance and Finance", Springer, 1997, and "Quantitative Risk Management: Concepts, Techniques and Tools", Princeton University Press, 2005/2015. His extensive research has been published in leading international scientific journals; he is also a much demanded speaker at international conferences and events in academia, industry and for regulatory authorities. For a full CV, see http://www.math.ethz.ch/~embrechts
In this paper, the authors apply a dynamic extreme value theory (EVT) model based on a nonhomogeneous Poisson process incorporating covariates to estimate frequency, severity and risk measures for operational risk.