Description: This report will endeavor to introduce the reader to some of the known and developing environmental risks that impact the business of insurance, with a specific focus on North American risks.

Description: The purpose of the paper is to facilitate understanding of the recommendations of the Task Force on Climate-related Financial Disclosures (TCFD) and its ramifications on actuarial work.

Description: Supporting excel file for November 2021 weather extremes.

Description: Supporting excel file for September 2021 weather extremes.

Description: Climate change has the potential to wreak havoc on ecosystems worldwide. One anticipated repercussion is the change in suitable habitats of vectors, such as mosquitos and ticks, who can transmit serious and even life-threatening diseases to humans. In this report, we outline major vector-borne diseases, discuss their symptoms and treatment costs, and present the relevant research regarding their evolving spatial patterns due to climate change.

Description: The unprecedented losses associated with recent wildfires are yet another call to insurers to understand how climate change is impacting the landscape of fire hazards. In this report, to further advance understanding of relationship between fire hazard and climate change, for both academic and practitioner communities, we review emerging evidence showing that policies surrounding tree planting are increasingly important for fire hazard insurance. Furthermore, we discuss relevant risk factors and potential mechanisms when accounting for these policies.

Description: The SOA Research Institute Catastrophe and Climate Strategic Research Program released a report that explores the shifting geography of Lyme Disease in the U.S. and beyond and some of the potential determinants of its spread. Lyme Disease is a well-known disease particularly in the eastern U.S., and it is also prevalent in other geographies. This report researches the complex relationship between climate variables and the spread of Lyme Disease in the United States.

Description: Supporting excel file for Actuarial Weather Extremes Series Heavy U.S. Precipitation: July 26-29, 2022

Description: Support file with python code for Actuarial Weather Extremes Series Heavy U.S. Precipitation: July 26-29, 2022.

Description: The research provides a modeling framework for assessing the inundation risk of properties and their expected flood damages, thereby laying a foundation for flood insurance pricing. The researchers studied over 50 years of claims data from the National Flood Insurance Program with 2.5 million records and identify property characteristics that predict flood damages for inundated properties. The development of a private flood insurance market hinges on insurers’ ability to better understand and price flood risk. This research takes a closer look at flood risk modeling and flood insurance pricing.