Author Archives: Katerina Christopoulou

Katerina Christopoulou

About Katerina Christopoulou

Katerina is a principal modeler and joined RMS in 2011. Apart from her involvement in the GEAC project during her time at RMS, she developed various property exposure models for climate hazard perils, mainly in Europe. Katerina also worked at Pembroke Managing Agency, where she was responsible for the validation of external catastrophe models and the quantification of non-modeled risks.

Before moving to the U.K., she held positions as Land Surveyor and GIS engineer in the Hellenic Military Geographical Service and Geopaeikonisis Ltd. Katerina has over 20 years of experience as a Geomatics Engineer and during her career to date, she has worked on large-scale private and publicly, EU funded projects.

Katerina is a Chartered Geomatics Surveyor and a corporate member of the Royal Institute of Chartered Surveyors (MRICS). She holds a PhD in Geographic Information Science from UCL and an master’s degree in GIS from University of Leeds.

New Ways of Modeling Property-Liability Clash and Uncovering Hidden Risk

Natural disasters and other large catastrophes can trigger huge economic losses potentially among multiple insurance lines. RMS, in collaboration with research partner Cambridge Centre for Risk Studies at University of Cambridge, have developed eight template scenarios that model liability clash triggered by natural or man-made catastrophic events.

This research was primarily focused on property–liability clash modeling and was the continuation of the two-year Global Exposure Accumulation and Clash (GEAC) project. GEAC laid the foundations for a risk data schema for the various insurance lines, as well as an approach to modeling insurance clash among life and non-life insurance. Please see here for more information.

The project resulted in liability loss assessments for various scenarios including natural catastrophes, cyber and terrorism (see Figure 1 below). Although these scenarios are extreme, they are well within the realm of possibility and are aimed at stressing the various types of liability insurance.

Figure 1: GEAC Scenarios
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