Description: The widening gap in life span between high- and low-income Americans may be eroding the progressivity of Social Security retirement benefits. Differential longevity trends have had the effect of raising lifetime benefits for high earners but not for low earners. Social Security’s long-term financial problems result in part from an increase in average life expectancy driven by wealthier people living longer, and, thereby, collecting more benefits. Policymakers should not use funding shortfalls attributable to these trends as an excuse to cut monthly benefits alike for those who have gained (high earners) and for those who haven’t (low earners).

Description: The purpose of this report is to start an informed debate on the issues surrounding the treatment of diversification in the solvency assessment of insurers. The members of the Chief Risk Officer Forum herein suggest a framework for how diversification should be treated within a prudential regulatory framework.

Description: This article provides an update, as of September 2019, on the Reinsurance Section’s sponsored research in process and studies recently completed.

Description: Andy Rallis delivers his speech at the presidential luncheon of the SOA 2019 SOA Annual Meeting & Exhibit in Toronto.

Description: Article explores why many integrated delivery systems are struggling and what actions they need to take to succeed.

Description: This paper introduces the symbolic valuation, a stochastic valuation which allows flexible interest rate and cash flow assumptions, and provides an illustration which values a simple SPDA product. From Actuarial Research Clearing House 1992, Vol. 1.

Description: This article provides a brief overview of the current state of machine learning (ML) and artificial intelligence (AI) as they apply to actuarial science, including discussion around the integration of actuarial judgment with ML and AI. It concludes with an example of explainable ML through a python tool known as SHAP (SHapley Additive exPlanations), which is able to explain the key drivers behind individual ML or AI predictions.

Description: This paper applies the research in Prospect Theory of Kahneman and Tversky to explain why sales of annuities lag sales of life insurance products. The author theorizes that life insurance is easier to sell because customers perceive themselves to be in the domain of losses, while potential annuity customers perceive themselves to be in the domain of gains. Kahneman and Tversky showed us that people are mostly risk averse in the domain of gains and risk seeking in the domain of losses. Purchase of an annuity or life product is a risky investment. Customers will find it easier to take the risk in the life insurance domain of losses than the annuity domain of gains. The author then proposes a hybrid life annuity product that might address both mortality and longevity risk in one product that would allow both products to be more competitive than stand-alone products.

Description: 1993 SOA Meeting, Quebec. This session is about implementing new technology, choosing between competing technology, problems to watch out for, unexpected benefits, migrating from mainframe to client/server, automating the field force and large-scale networks.

Description: The SOA's Competency Framework for Actuaries is a tool to help actuaries make decisions related to their individual professional development and career management plans. It applies systematic, sound approaches to selecting professional development opportunities, focusing on the skills needed to go beyond technical and specific actuarial analysis. This is an Excel file that facilitates that process by providing a personal planning workbook.