2019 has proved to be another active year for Japan typhoons following record losses in 2018.
Bloomberg Intelligence hosted RMS experts to explore the complexities in estimating losses from natural disasters, with a specific focus on the company’s recent estimate of $7-11 billion in insured losses for Typhoon Hagibis. This storm may have a large impact on 4Q results for Japan insurers and international reinsurers.
What happens when you combine a changing climate, increasing exposure in high risk areas, and a build-up of burnable vegetation?
As we saw during the 2017 and 2018 wildfire seasons, those factors combined led to seven of the most destructive wildfires in California History. Wildfire risk has increased to the point where it can now be considered a peak peril, akin to earthquake or hurricane. (Re)insurers must manage it accordingly.
This discussion will examine the factors contributing to elevated levels of wildfire risk in the U.S., mitigation measures that can reduce location-level risk, and the science of fire hazard and vulnerability modeling
What will you Learn in this Webinar?
Hear about the drivers of today’s elevated risk levels
Understand the mitigation measures required to reduce location-level risk
Receive a close look at the latest science of fire hazard modeling
See best practices, specific vulnerability factors, and new risk tools, data and models needed for addressing increasingly destructive wildfire risk
Hosted by IBHS Research Engineer Daniel Gorham, and presented by Chris Folkman, RMS wildfire expert, the presentation will be 40 minutes with a 20 minute Q&A.
On April 26, 2019 ICLR conducted a Friday Forum webinar titled 'Wildfire catastrophe modeling: Analytics for a new peak peril', led by Chris Folkman of RMS. This session the reasons behind the elevated levels of wildfire risk, mitigation measures that can reduce location-level risk, and the science of fire hazard modeling.
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