Description: This article provides a flavor for the wealth of statistical information provided by the Bureau Of Economic Analysis. It describes the BEA program, tells how to obtain BEA outputs, and looks at some issues BEA faces.

Description: This article is a summary of the SOA Research Institute report published in April 2023 on Megatrends Impacting the Future of Retirement Plans.

Description: This article provides a general introduction to JRI, including details about the types of research areas it highlights, an explanation of its prior review policy, current calls for papers, and its social media efforts.

Description: The effects of the COVID-19 pandemic have been discussed widely and in depth, with lockdown measures and restrictions on travel and trading having a severe impact on the global economy. It is therefore essential the insurance industry investigates these changes in the economy in terms of their impact on morbidity and mortality. In this article, we highlight some of the key findings on this topic.

Description: Risk management techniques do not include system science. System science requires that the uncertainty of the world is incorporated into the results. The articles explains the difference between risk and uncertainty. Learn how risk practices create an overoptimistic view of future outcomes.

Description: This article is the second installment in a three-part series on economic scenario generators (“ESGs”). Part I was published in the November 2019 issue. Part II addresses critical considerations in selecting, building, using, and validating ESGs. The article discusses key criteria in understanding ESGs including: - Risk factors - Scenario type - Process and parameterization - Calibration - Number of scenarios - Timing considerations

Description: This article introduces a non-traditional type of economic scenario generator that relies on dynamic stochastic general equilibrium (DSGE) models are complex macroeconomics models and have been increasingly popular in central banks for analyzing monetary policies.

Description: GDP growth has slowed as numerous headwinds have emerged. This article summarizes a research paper by Mark Alberts and Max Rudolph that addresses reasons why this is so and how risk managers can address using scenarios.

Description: The CAS is pleased to present its Research Paper, “Users’ Guide to Economic Scenario Generation in Property-Casualty Insurance”. Although there are cases in the literature about the use of economic scenario generators (ESGs) in the property casualty industry, they are far more commonly used for life insurance companies. Our hope is that this paper will serve as a comprehensive guide to the implementation of ESGs in the non-life space and spark interest in research into new applications of ESGs.