Collaboration with Iceland Catastrophe Insurance incorporates latest science
Impact Forecasting, Aon Benfield’s catastrophe model development team, has developed a new catastrophe model for Iceland to estimate the financial impact of earthquakes. Aon Benfield is the global reinsurance intermediary and capital advisor of Aon plc (NYSE:AON).
Iceland is the most earthquake prone region in Northwest Europe, with the peril accounting for 83% of catastrophe losses in the country over the last 20 years. Recent major loss history, estimated at present day values, includes M6.5 earthquakes in 2000 causing ISK7.8 billion (EUR53.2 million) of insured loss and a M6.3 earthquake in 2008 resulting in with ISK13.8 billion (EUR92.4 million) of insured damage[1].
Developed in collaboration with the Iceland Catastrophe Insurance (ICI), the goal of the model is to bring the most-up-to-date view of the risk by incorporating the latest local scientific knowledge, understand the uncertainty in its loss estimates and create a customised model that reflects the uniqueness of its portfolio and loss history. Notably the damage curves in the model, which show the correlation between hazard intensity and loss, are based on detailed high quality loss observation data from the past two major events in Iceland.
The seismic source zones were developed in collaboration with Professor Pall Einarsson from the University of Iceland. These are based on the local geology and tectonics including a catalogue from the Icelandic Meteorological Office of recorded earthquakes back to 1926 and historical earthquakes back to 1700.
In addition, the model is implemented in ELEMENTS, Impact Forecasting’s catastrophe modelling platform, to estimate and visualise the potential earthquake losses and to quantify the uncertainty. The platform also offers the potential for multi-peril risk assessment.
HuldaRagnheiðurÁrnadóttir, CEO of Iceland Catastrophe Insurance, commented: “The ICI has increasingly emphasised the importance of assessing insurance risk based on recent local scientific advancements. The new model has enabled us to further grasp the extent of the risk in relation to our own portfolio, while delivering enhanced information to reinsurers for use at the 2017 renewal.”
Goran Trendafiloski, head of earthquake development at Impact Forecasting, added: “It was critical to develop a modelling solution that was based on the loss history and seismicity of the country. Going one step further beyond the probabilistic modelling, we also developed a deterministic model to understand specific events such as the major recent earthquakes. Furthermore, the model is not limited to proactive risk management but can also be used to provide insights for handling claims and managing resources in the event of an earthquake.”
The model can be accessed by any re/insurance company.
