Description: The Pension Section is pleased to make available Part I of a two-part research paper exploring embedded options in pension plans. Part I includes a catalogue of embedded options in pension plans and the results of a related survey of pension practitioners. The paper was written by PricewaterhouseCoopers LLC.

Description: Appendix 2 from the research report entitled 'Exploration of Reputational Risk from the Perspective of a Variety of Stakeholders.'

Description: This report provides a validated, structured dataset of demographic and socioeconomic variables to support mortality heterogeneity research across geographies and population groups.

Description: The monograph walks the reader through the hindsight, insight and foresight building process while discussing theoretical and practical issues supporting the building of valid forecasts with provenance for each of these schema examples. That is, the analyst can document the iterative ‘profiling change processes’ mindscape and landscape elements by which and through which the successful forecast is built. This kind of forecast construction ameliorates the ‘black box’ problem of generating pattern output without an understanding of the pattern’s creation or contextual meaning that is often seen when using other methods, particularly machine learning and artificial intelligence. This issue is discussed, referencing appropriate thought leaders.

Description: India is in the process of updating to a more risk-based capital framework. The article provides a high level introduction of the development and discusses some of the key design and implementation considerations.

Description: This project shows how to use agent-based models to simulate the behaviors of agents in complex health systems.

Description: The Society's Group Disability Insurance Experience Committee has completed their study of termination experience for the period 1997-2006.

Description: This report explores how artificial intelligence can be applied to investment and retirement planning, highlighting real-world applications, risks, and recommendations.

Description: This report captures expert insights from a March 2025 roundtable on how generative AI is shaping actuarial work and insurance industry practices.

Description: The Canadian Institute of Actuaries and Society of Actuaries Committee on Life Insurance Research, the Product Development Section and the Financial Reporting Section, sponsored this study investigating how the Canadian life insurance industry is utilizing predictive modelling.