Earthquake Risk – a Global Challenge

Presented by

James Sawle, Mario Ordaz, David Gregory, Mohammad R Zolfaghari, Goran Trendafiloski, Matthias Schmid PhD, John Schneider

About this talk

Nearly half of all natural catastrophe fatalities since 1980 have been caused by earthquakes or the tsunamis they have triggered according to Munich Re. Established catastrophe models exist for countries contributing some of the largest insured losses, such as the United States and Japan. Yet, the impact of earthquakes in other areas of the world, where mainstream models are less developed, can also trigger major losses. With the support of Nasdaq, we've brought together specialist model developers from around the world to review what they are offering and get their views on key developments to look forward to in this field. Nasdaq’s Risk Modelling for Catastrophes service allows re/insurers and brokers to easily access catastrophe models from multiple model developers on a single platform. Covering all geographical regions of the world and a range of perils including flood, earthquake, wind and hail, the service enables new insights and an improved understanding of the exposure of a portfolio and individual properties. This educational session will explore the features and benefits of the different model developers as well as the key questions to consider before investing in a new modelling tool. Hosted by Matthew Grant, Partner at InsTech London, the speakers include: - James Sawle, Nasdaq Risk Modelling for Catastrophes - John Schneider, Global Earthquake Model Foundation - Matthias Schmid PhD, Guy Carpenter - Goran Trendafiloski, Impact Forecasting - Mohammad Zolfaghari, CatRisk Solutions - David Gregory, Corelogic - Mario Ordaz, ERN and RED The Learning Objectives for this event are: - Explore how insurance losses from earthquakes are measured and managed through the use of catastrophe models; - Learn about how to access models through platforms provided by companies such as Nasdaq and Oasis; - Understand the choices available when using catastrophe models.

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