Description: It happens every year: hurricanes, wildfires, and floods destroy property, interrupt routine care, and exacerbate chronic conditions. Clearly, general insurance and health actuaries need to reflect these conditions in their pricing projections even though there are lots of unanswered questions about the frequency, intensity, and location of significant events. In this session, the presenters will discuss how to reflect the impact of climate change in the day-to-day work of health and general insurance actuaries. After this session, attendees will be able to: - Describe the impact of climate change on property damage and healthcare - Identify relevant data sources and methods needed to reflect the impact of climate change for use in the day-to-day work of health and general insurance actuaries - Discuss the risk associated with climate change

Description: The cyber insurance market looks like it’s growing—rapidly, in fact. However, there’s more to the cyber insurance market than the outward appearance of strong growth. Worldwide aggregate premium’s upward trend may even be cause for alarm. The increase in premium against a flat rate of insured exposure is a key sign that the market could turn from growth to constriction if a solution isn’t found in the near future. If the cyber insurance sector hopes to reach such lofty goals as exceeding $30 billion in global premium by 2028, it’s going to need more capital. Whether directly into the insurance sector or via support from reinsurance and retrocession, fresh capital should help insurers achieve greater market penetration, build a broader foundation for ongoing expansion, and chart a course for long-term sustainable profitable growth. The same sources capital insurers have used since the early days of the market won’t be enough, though. Thankfully, the insurance linked securities (ILS) market seems poised to help, particularly with several promising recent transactions. New sources of capital could bolster the foundation for future cyber re/insurance growth.

Description: View article from The Actuary August/September 2014 – Volume 11, Issue 4: Most Frequently Asked Questions

Description: This report concerns optimal new business written premium mix at the firm and state levels under varying competitive conditions.

Description: Excel spreadsheet that support the Quantification of Cyber Risk for Actuaries report.

Description: This report provides an exploration of the potential impact of Artificial Intelligence (AI) on medical malpractice claims, with a focus on one specialty (radiology) and one state (New York). The discussions in this report are targeted to actuaries who are interested in developing a method to quantify the potential impact of AI to their own medical malpractice portfolio or to their own work.

Description: This report captures expert insights from a March 2025 roundtable on how generative AI is shaping actuarial work and insurance industry practices.

Description: The Spatial Hazards Events and Losses Database for the United States (SHELDUS) provides county-level data for direct economic losses due to natural hazards from 1960 to the present.

Description: Note from the Council Corner providing an update to our JRMS members on recent / upcoming activities.

Description: To evaluate the risk associated with personal auto coverage, insurers have traditionally relied on information about the driver (such as age, gender and marital status), location (such as territory or ZIP code), the intended use of the vehicle (such as business or pleasure) and information about the vehicle when new (such as original cost). Insurers then added detail to driver information using sophisticated credit scoring and demographic models, and added detail to vehicle use information with telematics and usage-based insurance pricing. Now, insurers are adding detail about the vehicle itself using vehicle history. The presenters will discuss how carriers use vehicle history to more accurately price and underwrite risks. They will discuss obvious data elements, such as salvage title brands, verified average annual mileage and severe damage, as well as data that may not be as obvious but has proven predictive of loss in the past. Finally, using vehicle history as an entry point for UBI programs will be covered.