Description: A research brief highlighting the challenges and issues related to work, retirement and retirement planning. The findings are from the biennial survey, Risks and Process of Retirement.

Description: This is one of eight essays from the collection: 2020 Living to 100 Essays.

Description: Session 176: The Future of Medical Records in Underwriting

Description: View the Fall 2020 Corporate Finance And ERM — Strategic Decision Making Exam Case Study.

Description: In this article, we describe new approaches to long-term care financing that rely on home equity release and we address several of the challenges mentioned above. While these approaches stand to help expand the potential for long-term care financing to middle-class Americans, even these approaches don’t address a large swath of the U.S. with less privilege, who have little or no home equity. We will discuss the product design, marketing, pricing and risk management of these new approaches and potential behavioral factors that should be considered. The article builds on a growing body of academic research to which the authors have actively contributed. We want to share the key insights of this international work in market research, economics, and actuarial studies to stimulate more research in this area.

Description: Essay submission on impact of COVID-19 on Senior Housing and Support.

Description: View CFESDM Exam PM Case Study - Spring 2020

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: Actuarial Weather Extremes: August 2020 Hurricanes, Earthquake, Derecho, Extreme Heat and Wildfire

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.