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: The Society of Actuaries (SOA) published its first COVID-19 research brief on March 10, 2020, followed by regular updates and expansions through June 12, 2020. The comprehensive report included a section of statistics that highlight the pandemic’s impact on economies in the U.S. and Canada. This report shows updates through September 30, 2020, to selected graphs from the Economic and Asset Impact section of the comprehensive report.

Description: This report evaluates the long-term mortality consequences of the COVID-19 pandemic from a cohort-based perspective using historical mortality data.

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 study explores the use of geospatial imagery and high-resolution image technology in the property and casualty (P&C) insurance industry, focusing on improving risk determination through accurate building location data. It introduces new methods like structure footprints and high-resolution elevation information to enhance underwriting, rating, and claims settlement. The study includes two case studies: one on flood risk in Hillsborough County, Florida, and another on wildfire risk in three California communities, demonstrating the significant impact of precise location and elevation data on risk assessment and insurance premiums.

Description: This report analyzes insurance product design, morbidity trends, and pricing models for individuals with pre-existing illnesses in China to improve coverage for substandard health populations.