Description: Several presentations that contain analyses on the SOA’s Individual Life Experience Committee’s 2003 to 2013 Individual Life Mortality Experience Data are available below. The final 2003 to 2013 Individual Life Mortality Experience Report and data will be published later this year.

Description: The Casualty Actuarial Society (CAS), the Society of Actuaries (SOA) and the Society of Insurance Research (SIR) started developing research addressing diversity, equity and inclusion (DEI) topics. Join panelists as they briefly present an overview of their organization's DEI research and share their perspectives on common challenges facing all the stages of this research: - Planning relevant and timely research with a long timeline. - Getting appropriate data and resources to support your research. - Communicating research on topics that may be controversial.

Description: ClubVita Session Series Longevity trend risk still exists even for the largest portfolios. Explore the differences in longevity improvements between different populations, how to categorize subpopulations with different trend risk characteristics, and how to use this categorization to reduce longevity trend basis risk.

Description: E-book on Response to Life Insurance 2020 Foresight – A Call for Essays e-Book. This e-book focuses on the vision for the future of the life insurance sector and contains the introduction and essays.

Description: The article is introducing and promoting the value of RAPA, the Reinsurance Administration Professionals Association as a forum for information sharing, networking, education and training of insurance and reinsurance professionals responsible for reinsurance administration.

Description: Retirement planning generally includes a focus on decisions needed at time of retirement, but it often fails to focus on changes during retirement and additional decisions needed as people age. The 2021 SOA Risk Survey and other SOA research documents the lack of focus on future change. It is common for people to lose cognitive ability and generally to become less able to make decisions, manage their finances, their medical care and their lives at high ages.This panel focuses on communication and decision issues. The SOA has recently issued a decision guide on High Age Decisions. The brief identifies four domains for high age decisions: ·Health, health care and staying healthy ·Managing finances ·Housing and transportation ·Support networks The panel will include a discussion of communications and how we change, problems of physical, hearing, sight or cognitive decline and the challenges created and the four domains in the SOA Decision Brief.

Description: The surge in interest rates over the past few years presents opportunities for life insurers to enhance their Asset and Liability Management (ALM) positions through asset rebalancing to narrow the duration gap and secure higher risk-adjusted yields. This webcast introduces a robust, efficient and readily-executable, liability-driven strategic asset allocation (SAA) framework and implementation considerations. At the conclusion of the webcast, attendees will learn about the key objectives and practical considerations for a successful SAA.

Description: There is increasing industry interest in applying behavioral science to optimize product design decisions and improve outcomes for both insurers and their customers. With a growing set of options within product designs, predicting consumer behavior continues to get increasingly complex. Join this webcast for an overview of key behavioral economic concepts. Key insights will be shared from two SOA projects that explore how behavioral economic techniques can be used in various parts of the life insurance new business process and enforce management.

Description: The Society of Actuaries (SOA) Research Institute’s Mortality and Longevity Strategic Research Program Steering Committee issued a call for essays to explore the application of artificial intelligence (AI) to mortality and longevity. The objective was to gather a variety of perspectives and experiences on the use of AI in mortality modeling, forecasting and prediction to promote discussion and future research around this topic. The collection includes six essays that were accepted for publication from all submissions. Two essays were chosen for prizes based on their creativity, originality, and likelihood of further thought on the subject matter.

Description: This study and report have the following primary purposes: 1. Evaluate recent mortality experience relative to standard industry mortality tables, at a broad level. 2. Observe general trends in mortality experience by key policy characteristics. Where possible, provide insights into the industry changes contributing to the observed trends. 3. Provide the underlying data in spreadsheet pivot table format for further investigation by qualified actuaries. Provide data also in a delimited text file and Tableau dashboards for use with other software tools.