Description: The Society of Actuaries (SOA) Research Institute revisits COVID-19's impact on future U.S. mortality with insights from a multidisciplinary panel of experts. Discover how new variants and other causes of death may influence future mortality trends.

Description: This report is the first of the QMMR series, focusing on mortality data through July 2024. The report also examines data from August to December 2024, although death count data for this period is not yet complete. To offset this concern, historical patterns of data maturation (“completion” in the parlance of actuaries) were used to adjust the incomplete data upwards to enable reasonable estimates of total deaths to be produced.

Description: This dissertation by Tia Sawhney will help you understand this issue and start measuring it, or start promoting equitable public policy.

Description: This working paper discusses the risks of investing in stocks in public pension funds.

Description: This Market Opportunities Research MOR Project builds upon the foundation created at the SOA Strategic Planning Retreat in November 2000. This report, based on marketplace interviews, summarizes skills requirement, gap analysis, and recommendations for next steps.

Description: This is a nested stochastic modeling for insurance companies research report that's sponsored by the Financial Reporting and Modeling Sections and Committee on Life Insurance Research. Stochastic modeling is commonly used by financial reporting actuaries whenever financial reporting procedures such as reserving and capital requirement calculation, are performed under various economic scenarios, which are stochastically determined.

Description: This paper represents a brief progress report on research, being sponsored by the Casualty Actuarial Society and the Society of Actuaries, in the area of modeling of economic series. In particular, research is being undertaken to provide a foundation for the actuarial community’s modeling of a variety of economic variables, including interest rates, equity returns, inflation, unemployment rates, and real estate price levels. The specific objectives of this research are to provide a summary of the literature in the area of economic scenario modeling, identify data sources and methodologies in this area useful to the actuarial profession, and produce working software for economic modeling, including appropriate documentation, to be made available to the general actuarial community in order to allow actuaries to use and build upon this research. From Actuarial Research Clearing House 2004, Vol. 1.

Description: In this paper, we consider the relationship between salary growth, stock and long bond returns. We use this to suggest that equities may have a role in hedging final salary-related benefits. Simulations from the empirical distribution for salaries, equities and interest rates are used to demonstrate the quantile hedge.

Description: This paper studies a smoothing spline Poisson regression model for the analysis of mortality data. From Actuarial Research Clearing House 2006, Vol. 1.

Description: This paper on bancassurance in India discusses some of the salient developments of banks in India, how the lack of coordination between bank regulation and insurance regulation created confusion in the development of bancassurance, the main problems facing banks in India, and some of the long term drivers of bancassurance in India. From Actuarial Research Clearing House, 2006.