Description: This report highlights major weather stories that unfolded across the month of June 2020.

Description: This report summarizes the major findings from the 14th (2020) emerging risk survey.

Description: This survey attempts to track the thoughts of risk managers about emerging risks across time. It is the 14th survey of emerging risks sponsored by the Canadian Institute of Actuaries (CIA), Casualty Actuarial Society (CAS) and Society of Actuaries (SOA). The researcher thanks the Financial Reporting and Reinsurance Sections for their financial support, and the Joint Risk Management Section for logistics and governance.

Description: This is the third report in a series of reports on the financial perspectives of aging and retirement of Americans across the generations. It examines how financially fragile Americans are, explores distinguishing characteristics of the financially fragile, and examines their views and concerns regarding their current finances and retirement planning.

Description: The Society of Actuaries Catastrophe/Climate Strategic Research Program engaged Risk & Regulatory Consulting LLC (“RRC”, “we”, “our”, or “the researchers”) to conduct research on the projected changes in insurability and affordability of insurance coverages due to climate change.

Description: InsureTech Connect 2021, covered r emerging trends that were and future opportunities for insurance technology. In addition, Society of Actuaries (SOA) staff and key SOA volunteers who work in the insurtech industry interviewed a variety of attendees to gather further information on these trends.

Description: The aim of this project is to present proposals for Variable Uninsured Life Annuities—or “Value annuities.” The report and the accompanying models illustrate how Value annuities work.

Description: Supporting excel file for June 2021 weather extremes.

Description: Integrated Assessment Models (IAM) combine scientific scenarios that project changes in greenhouse gas (GHG) levels, resulting in global temperature increases and meteorological volatility when GHG increases, with quantitative economic models expanding on an aligned narrative.

Description: The Society of Actuaries’ Committee on Finance Research is pleased to make available a research report that develops a framework for applying deep learning and reinforcement learning techniques to optimal dynamic strategic asset allocation for Liability Driven Investment (LDI).