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: This report is an update to a 2014 paper related to changes in the continually evolving pension risk transfer landscape. This updated report seeks to discuss pension risk transfer in depth and identify key de-risking actions, alternatives and triggers that impact pension risk transfer strategies.

Description: This report presents research into recent population mortality experience compiled by the Retirement Plans Experience Committee (RPEC) of the Society of Actuaries Research Institute as it pertains to development of mortality improvement assumptions for measuring obligations of retirement programs in the United States.

Description: In this report, we explore the impact of clustering using the Medical Expenditure Panel Study (MEPS) data for children (aged 5 to 17) to build a bridge between oral health and overall health using dental and medical expenditures. We include social determinants of health as cluster input variables using the Partitioning around Medoids (PAM) method to identify children and their families who could potentially benefit from population health management related to oral health.

Description: The document is a report on the impact of inflation in retirement based on survey findings conducted by the Society of Actuaries Research Institute in partnership with Optimity. It includes survey questions and results, along with observations on the impact of inflation on personal finances.

Description: This report discusses management decision making practices and the need for actuaries to build the appropriate level of variability for management actions in stochastic models to achieve a more realistic range of future experience among the stochastic scenarios.

Description: The Canadian Institute of Actuaries (CIA) and the Society of Actuaries (SOA) are pleased to make available a resource model that provides long-run (to 2050 and beyond) forecasts of health care spending in Canada.

Description: The goal of this paper is to help you understand one tool that has gained an enormous amount of traction over the past two decades: predictive modeling. Predictive modeling is the practice of leveraging statistics to predict outcomes. The topic covers everything from simple linear regression to machine learning. The focus of this paper is a branch of predictive modeling that has proven extremely practical in the context of insurance: Generalized Linear Models (GLMs).

Description: A plain-language, high-level explanation of employer withdrawal liability issues, including how they grew to be large and barriers to their collection.

Description: Using the Health Care Cost Institute (HCCI) database, we examined which characteristics best predict and describe high-cost members.