Description: The attached report presents the results of a survey conducted by the Society of Actuaries Mortality and Underwriting Survey Committee in July of 2008 under the following categories: 1. Modeling Mortality Risk. 2. Use of Reinsurance to Manage Mortality. 3. Retention / Large Case Management. 4. Catastrophe Reinsurance. 5. Mortality Concentration of Risk. 6. Catastrophic Bonds.

Description: Latest development in IFRS 17 including a first look at companies disclosures and financial impacts, as well as a discussion of some of the run time issues that companies face.

Description: The objective of this paper is to provide a practical guide with concrete case studies to help actuaries implement artificial intelligence and machine learning (AIML) to help accelerate the speed of analysis for life and annuity actuarial modeling. We do so by researching the existing literature regarding AIML and its applicability to stochastic modeling and exploring case studies.

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: A multi-author collection exploring how catastrophe modeling can be adapted to life and health insurance, particularly in response to the 2025 Los Angeles wildfires.

Description: This report presents research into recent population mortality experience compiled by the Retirement Plans Experience Committee 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: A data format for mortality tables along with applications.

Description: An outline of a formal framework for describing models, inspired by the operational context of governance, management, and use of models.

Description: Feature article describing what author thinks it will take for a life insurance company to be successful in the year 2020.

Description: Article presents issues for postretirement medical on models, data and the frail elderly. From Health Section News, December 2000, Issue No. 39.