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Formerly Moody’s RMS

To be Solvency II compliant, re/insurers must validate the models they use, which can include comparisons to historical loss experience. In working towards model validation, companies may find their experience of European windstorm hazard does not match the modeled loss. However, this seeming discrepancy does not necessarily mean something is wrong with the model or with the company’s loss data. The underlying timelines for each dataset may simply differ, which can have a significant influence for a variable peril like European windstorm.

Most re/insurers’ claims records only date back 10 to 20 years, whereas European windstorm models use much longer datasets – generally up to 50 years of the hazard. Looking over the short term, the last 15 years represented a relative lull in windstorm activity, particularly when compared to the more extreme events that occurred in the very active 1980s and 1990s.

european windstorm

RMS has updated its European windstorm model specifically to support Solvency II model validation. The enhanced RMS model includes the RMS reference view, which is based on the most up-to-date, long-term historical record, as well as a new shorter historical dataset that is based on the activity of the last 25 years.

By using the shorter-term view, re/insurers gain a deeper understanding of how historical variability can impact modeled losses. Re/insurers can also perform a like-for-like validation of the model against their loss experience, and develop confidence in the model’s core methodology and data. Alternate views of risk also support a deeper understanding of risk uncertainty, which enhances model validation and provides greater confidence in the models that are used for risk selection and portfolio management.

Beyond Solvency II validation, the model also empowers companies to explore the hazard variability, which is vitally important for a variable peril like European windstorm. If a catastrophe model and a company rely on different but equally valid assumptions, the model can present a different perspective to provide a more complete view of the risk.

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Laurent Marescot
Laurent Marescot
Senior Director, Market and Product Specialists, RMS

Laurent is a catastrophe risk management expert at RMS, advising some of the largest companies in the (re)insurance industry how to best manage their nat cat, agriculture, cyber and terrorism risks. He also interacts as an expert for governmental and regulatory authorities. Laurent initially joined RMS in 2008 as part of the account management team, servicing the European (re)insurance and ILS market. He then headed the model product management group for all EMEA and APAC climatic/weather risk perils, such as windstorm, typhoon, severe convective storm and flood, as well as RMS global agricultural risk.

Prior to RMS, Laurent worked 3 years at the Swiss Federal Institute of Technology Zurich (ETHZ) as a Research Associate and Lecturer, managing multidisciplinary research projects. Laurent still lectures regularly on catastrophe modeling and insurance risk quantification at universities and gives seminars and invited talks in international industry conferences. Laurent co-authored numerous industry publications, peer-reviewed scientific articles and proceeding papers. He holds an MSc in Geology from the University of Lausanne and a PhD in Geophysics from the University of Lausanne and the University of Nantes.

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