Description: It has been a little over a year since the release of the Society of Actuaries (SOA) Research Institute's Mortality Improvement Model, MIM-2021. Since then, waves of COVID-19 have continued to occur in the U.S. The uncertainty around the COVID-19 pandemic and the slowing of U.S. general population mortality improvement prior to the pandemic are just a few of the reasons that make developing MI projection scales difficult. Uncoverthe results from intercompany surveys on mortality improvement, including one that addresses COVID-19, discover insights from a mortality expert panel on COVID-19 and future mortality, and discuss enhancements to MIM-2021. By attending the session, you will: - Understand MIM-2021 and 2022 enhancements. - Understand SOA Research Institute activities around COVID-19 and impact on mortality improvement. - Apply research results and insights presented to daily work.

Description: The Student Research Case Study Challenge provides an opportunity for teams of students to apply their actuarial skills on a real-world problem in a business setting.

Description: Different mortality projection methodologies are utilized by actuaries across applications and practice areas. As a result, the MIM Advisory Group developed a single framework to serve as a consistent base for practitioners in projecting mortality improvement.

Description: Different mortality projection methodologies are utilized by actuaries across applications and practice areas. As a result, the MIM Advisory Group developed a single framework to serve as a consistent base for practitioners in projecting mortality improvement.

Description: The Society of Actuaries (SOA) Research Institute received a grant from the U.S. National Science Foundation (NSF) to educate insurance actuaries on the use of wildfire risk datasets and models to be developed by researchers from academia and the U.S. National Aeronautics and Space Administration (NASA).

Description: An overview of guaranteed lifetime withdrawal benefits (GLWB) on registered index-linkedannuity (RILA) products and a stochastic analysis of market risks.

Description: Actuaries can leverage cluster modeling to reduce model runtime and cloud compute costs, which can be a real concern as companies transition from an on-premise grid to a scalable cloud solution. We consider practical considerations associated with clustering, through both US statutory and US GAAP lenses. Lastly, the results from a variable annuity liability clustering case study are presented.

Description: The Society of Actuaries Retirement Section Research Committee is seeking researchers to explore new modeling approaches for creating pension plan turnover tables.

Description: What is a vitagion? Is there such thing as catastrophic longevity? What does a 1 in 200 year mortality loss event look like? How might actuaries use mortality scenarios in their practice? Explore how to move beyond simplistic stress testing with singular percentage shocks to building a robust set of information, derived from stochastically generated scenarios for longevity and excess mortality outcomes. This data can inform assumption setting, longevity swaps, capital levels, and risk management. These concepts apply to life insurers, pension actuaries, and reinsurers. By attending the session, you will: - Understand what is a loss exceedance curve is and how it may be useful to quantify tail risks. - Comprehend how to incorporate stochastic variability into longevity and excess mortality assumptions. - Find out what elements go into a stochastic prediction of extreme mortality events using nested models. - Learn how to add more depth to youractuarial assumptions.

Description: This report introduces quantum computing to actuaries. In addition, this research will assess and identify areas in the insurance field where quantum computing can make a difference, accompanied with suggested algorithms.