Description: This project enhances the current understanding of cyber risks in the smart home ecosystem from the insurance industry's perspective. In particular, the quantitative framework and pricing strategies developed in this project can be immediately adopted/adapted by actuaries to price the cyber risks for smart homes, a fast-growing insurance market.

Description: The Society of Actuaries Research Institute’s Aging and Retirement Strategic Research Program is pleased to make available a report that explores stakeholder views in Minnesota on the efficacy of a public catastrophic long-term care insurance program at the state level.

Description: This report introduces quantum computing to actuaries. In addition, this research will assess and identify areas in the insurance field where quantum computing can make a difference, accompanied with suggested algorithms.

Description: Conventional wisdom in the U.S. is that mortality by violent causes of death is disproportionately experienced in underrepresented communities. This study aims to quantify this experience in more detail than is commonly reported.

Description: The Society of Actuaries’ Investment Section and Committee on Finance Research and Investment Section is pleased to make available a research report using a comprehensive attribution analysis to identify meaningful relationships between market volatility and potential causes. Also included for educational purposes are the open-source codes used to perform the analysis.

Description: The SOA Research Institute Aging and Retirement Strategic Research Program and the Long-Term Care Insurance Section are pleased to make available a research report analyzing the need for informal caregiving and its impacts on employees, employers, and other stakeholders.

Description: This paper introduces practitioners to the selection and calibration of stochastic interest rate models. Six continuous time interest rate models and their calibration are presented. Actual code and data examples are added to help the practitioner implement them. The emphasis is on hands-on calibration with RStudio. The reader is assumed to have a working knowledge of RStudio, including writing R scripts.

Description: This report explores AI bias in insurance and health data, highlighting the ethical role of actuaries and offering cross-disciplinary guidance for fairer decision-making systems.

Description: This report documents updates to the Canadian mortality data in both the Human Mortality Database and the Canadian Human Mortality Database, including new data for 2022–2023.

Description: This report outlines a methodology for estimating mortality improvement factors based on data from insured lives. The report details challenges, methodology, results, comparisons with population data, limitations, and potential improvements.