Description: The CAS has sponsored research which explores potential exposure bases for rating cyber liability. This short article gives some highlights from that research.

Description: This report identifies and makes recommendations regarding possible exposure measures for pricing and analyzing the risks in cyber insurance. Cyber insurance is an insurance product that is designed to provide protection against the financial consequences of a failure or compromise of an organization’s information system as a result of a cyber event.

Description: Integrated Assessment Models (IAM) combine scientific scenarios that project changes in greenhouse gas (GHG) levels, resulting in global temperature increases and meteorological volatility when GHG increases, with quantitative economic models expanding on an aligned narrative.

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.

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

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: This research report develops a framework for modeling and pricing cybersecurity risk.

Description: This report considers a hybrid portfolio that combines life and general insurance aspects.