Description: The Society of Actuaries’ Committee on Finance Research is pleased to make available a research report covering the extent to which investment sectors have been contagiously affected by major disasters.

Description: This article is dedicated to the non-statutory accounting treatment of common credit risk exposures of life insurers but does not cover all aspects of non-statutory accounting standards. It introduces the concept of and the valuation of credit risks, concerning life insurers.

Description: While the major market crash subsequent to the widespread contagion of the COVID-19 virus was readily predictable, the rapid recovery and ongoing growth subsequent to it was not. Market dynamics around the recovery resist characterization by most traditional analytical approaches. In examining the circumstances around the emergence of a large retail class of investors, one sees that ingrained human tendencies, particularly optimism bias, have fueled much investor behavior responsible for the recovery. Understanding this makes it possible to predict potential future crashes and develop behavioral interventions for subsequent market recoveries.

Description: This article is dedicated to the non-statutory accounting treatment of common credit risk exposures of life insurers but does not cover all aspects of non-statutory accounting standards. It introduces the concept of and the valuation of credit risks, concerning life insurers.

Description: S&P Global released its initial version of proposed changes regarding its Insurer Risk-Based Capital Adequacy methodology and assumptions on Dec. 6th, 2021. Unlike prior guidance notes or criteria releases, the proposed changes comprehensively updated the current S&P rating criteria released in 2010. These updates would directly impact many insurers. S&P Global anticipates that 10 percent of existing ratings in the insurance sector would be impacted and the change would lead to more positive rating implications than negative impact. This article focuses on the proposed changes on the S&P risk-based capital (RBC) vs. the current model, then simulate impacts to a representative U.S. life insurer through an illustrative case study.

Description: View The Impact of Disaster Events on Investments – Contagion Channels Perspective.

Description: Learn how modernization of data, models, and technology are influencing workflows. This webcast will address how workflows are changing in response to new regulatory requirements and the impacts the changes have on modeling and end-to-end future state operating models. Industry leading actuaries will discuss: How team collaboration can increase quality and speed of reporting to internal and external stakeholders How to strengthen controls and compliance frameworks across finance and actuarial departments How to modernize actuarial input/output for strategic analysis and insights How to attract and retain top talent by improving opportunities for actuaries There will also be dedicated time to ask questions of those who have made the transition.

Description: The pandemic and other current events have greatly impacted the risks that individuals face during retirement. Join us to explore this topic as the results of the Society Actuaries 2021 Retirement Risk Survey are presented. Discover the findings regarding retirement concerns, preparedness and understanding individuals in the U.S. nearing retirement or those who are already retired. This marks the 11th iteration of this biennial survey completed through the SOA Research Institute’s Aging and Retirement Strategic Research Program.

Description: In 2022, the Society of Actuaries (SOA) Research Institute Committee on Finance Research (CFR) of the Investment Section in collaboration with the SOA Research Institute Catastrophic and Climate Strategic Research Program, published a research report on the impact of disaster events on investments. The report, The Impact of Disaster Events on Investment-Contagion Channels Perspective, which explored this issue from the perspective of contagion channels, provided a framework for further investigation. As a next step, CFR is seeking essays on how the concepts in the report and related studies may be practically applied in specific situations and recent experiences.

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).