Find catastrophe modeling and reinsurance articles authored by EQECAT experts and scientists during 2010:
October 2010
EQECAT
Global Clustering of Giant Earthquakes: A Revolution in Earthquake Risk Management?
(218 KB)
Global Clustering of Giant Earthquakes: A Revolution in Earthquake Risk Management?
This article examines potential impacts that earthquake clustering may have on the re/insurance industry. Strategies and decisions for underwriting and pricing that are driven by tail risk need to be reconsidered.
June 2010
Reactions
Earthquake Update: Soil-Based Attenuation Reduced Modeling Bias
(455 KB)
Earthquake Update: Soil-Based Attenuation Reduced Modeling Bias
Kate Stillwell explains how EQECAT's state-of-the-art US earthquake hazard model utilizes soil-based attenuations (SBA) linked with first-hand observation of more than 90 earthquakes to enable global reinsurance and insurance companies to realistically and rationally analyze earthquake risk for sites, policies and portfolios.
May 2010
Asia Risk Modeling
Asia Rising: A Model Future
(539 KB)
David Smith explains the challenges of risk modeling for the growth in Asian markets and EQECAT's Asia typhoon model covering Japan, South Korea, China, Taiwan, The Philippines, Thailand, and Malaysia.
March 2010
Asia Insurance Review
Catastrophic Flooding in Asia: A regional peak peril
(399 KB)
Catastrophic Flooding in Asia: A regional peak peril
Dr. Richard Norreys explains that increased loss potential in Asia is elevating the need for better methods for the measurement and differentiation of flood risk across the region.
February 2010
Insurance Insider
Modelling the Wild Frontier
(373 KB)
James Webb addresses uncertainty and underwriting challenges that surround modeling offshore energy in the Gulf of Mexico. He also discusses different methods for modeling risk in such an uncertain area.
View EQECAT article archives:
Return to current articles.
Request an interview with an EQECAT expert.
Request catastrophe model information.
Call to speak with an EQECAT representative: