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September
Modeling the Perfect Storm: How Antecedent Condi...
![Firas Saleh](/sites/default/files/content/author/field_image/2024-05/Firas%20Saleh.jpg)
What material difference do antecedent hydrologic conditions make to the severity and losses from flood events? During my recent RMS® Season…
Cyber Solutions 5.2: Gain Faster Insights Today,...
![Matt Harrison](/sites/default/files/content/author/field_image/2022-12/matt-harrison.jpg)
The global cyber risk insurance market is growing and evolving fast. According to Munich Re, the market is predicted to hit US$20 billion in…
Twenty Years Since 9/11: Living With an Ever-Pre...
![Shruti Deshmukh](/sites/default/files/content/author/field_image/2020-01/Shruti.jpg)
It was 8:46 a.m. local time on September 11, 2001, when a hijacked American Airlines Boeing 767 was flown directly into the North Tower of the…
Four Influences on the FEMA 1 Percent Probabilit...
![Robert Muir-Wood](/sites/default/files/content/author/field_image/2020-01/robert-moir.jpeg)
Where did the 1 percent probability flood line (100-year flood), the baseline metric for the U.S. flood insurance market, originate from? Why…
Taking the Guesswork out of Climate Change Metrics
![Ben Brookes](/sites/default/files/content/author/field_image/2021-09/ben%20brookes.jpg)
The insurance industry is getting familiar with the brave new world of climate change metrics. Regulators and stakeholders are asking…
August
One Year On: Getting to Work With the Risk Model...
![Ashley Bernero](/sites/default/files/content/author/field_image/2024-05/Ashley%20Bernero.png)
Making the shift to cloud-based risk modeling and analytics sounds dramatic, a fundamental change for the (re)insurance industry from the…
![nighttime city](/sites/default/files/content/paragraph/cta/2021-06/newsletter.jpg)
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