Description: This will be an engaging and interactive session that will begin with a game show to level set basic knowledge of LDTI. Next, you will have an opportunity to ask the experts in-depth questions about anything related to LDTI. Finally, we will invite the 2023 adopters to share their experiences with the 2025 adopters. The exact content will be driven by participants but is expected to include MRB valuation approaches, LFPB reinsurance topics, DPL, DAC, and disclosure topics. At the end of the session, participants will understand different perspectives from industry experts and peers on the many facets of LDTI.

Description: The Academy Economic Scenario Generator is set to be replaced by a new ESG created in a partnership between the NAIC and Conning. This summer, we will present three separate webinars that will investigate the key features of the new ESG, examine the process through which it was created, and discuss what it all means for actuaries impacted by the change.

Description: This webcast will explore the shifting landscape of healthcare costs. It will cover healthcare trend basics, recent developments, and what’s ahead. Drawing from comprehensive data analysis and industry insights, this presentation promises to equip attendees with actionable knowledge to navigate the complex terrain of healthcare expenses effectively.

Description: Predictive analytics and technology have dramatically enhanced insurers’ ability to write Life Insurance policies without the need for medical exams in the past 10 years. Rapid, remote access to richer, digital health data has helped better identify higher risk individuals and capture anti-selective behavior, allowing policies to be issued at rates more competitive than traditional guaranteed issue products. Yet this underwriting technology is still new and rapidly evolving, challenging insurers to develop appropriate assumptions for new issues as well as the valuation of in-force blocks.In this session, we will look back at mortality and persistency experience data gathered in Oliver Wyman’s industry-wide VM-51 experience study, one of the most comprehensive data sets to include limited underwriting business in recent years. We will see how experience held up against expectations, and what possible trends we see across various policyholder characteristics. We will then zoom in on the impact of risks that would be considered uninsurable from a full underwriting perspective, and the impact that these lives are having on in-force blocks from a valuation perspective. Finally, we will look forward, examining some of the newest innovation in the limited underwriting space, as presenters discuss methods and considerations for the validation, assessment and implementation of new underwriting offerings, such as Milliman Risk Score and LabPiQture™.Attendees will enhance their understanding of the impact of underwriting changes over the past decade, as well as have a view of how things may change in future years as the industry becomes progressively more capable of assessing risk without the need for medical exams.

Description: This session will provide an overview of the landscape of accident and health insurance valuation. Attendees will gain an understanding of key concepts and various actuarial techniques employed in the valuation of accident and health insurance policies. By incorporating real-world perspectives and experiences, this presentation equips attendees with actionable knowledge to enhance their understanding and approach to accident and health valuation in an ever-evolving insurance landscape.

Description: This session will cover the latest information on annuity products. It will cover sales levels, product features, and pricing trends. It will also cover latest regulation effects on products and pricing. It will give the audience a well-rounded view of the annuity market and the current environment.

Description: Session 3E: The ACA@15 - SOA Updated Research into the Evolution of the ACA

Description: Mortality Model Selection and Combination in RAlternative approaches for selecting mortality models and forecasting mortality have been proposed. The usual practice is to base mortality forecasts on a single mortality model selected using in-sample goodness-of-fit measures. However, cross-validation and other alternative out-of-sample measures are increasingly being used in model selection, and model combination methods are becoming a common alternative to using a single mortality model. Such methods combine predictions from multiple mortality models to reduce model choice uncertainty and improve forecast accuracy. Explore techniques to select and combine mortality models using the freely available open source R package CoMoMo (https://github.com/kessysalvatory/CoMoMo), which extends the widely used R package StMoMo (https://CRAN.R-project.org/package=StMoMo). We will use data for the USA and other countries to discuss and demonstrate four different model combination approaches including simple model averaging, Bayesian model averaging, model confidence set, and stacked regression ensembles.

Description: "Hear an overview of recent results and potential scenarios that may impact the future of the ACA market. Review recent reported industry level profitability before transitioning to a discussion of how current market dynamics may influence the future profitability of this segment. Results from microsimulation economic models will be presented to help illuminate market shifts. Issues that will be explored include how ICRA availability might influence individual decision making, as well as how a move to level funding is impacting the small group market. By attending this session, you will: Understand the recent average and variation of industry performance in the ACA market segment. Describe current policy and market forces that are expected to impact this segment. Explain the range of market scenarios that may result due to these forces."

Description: "Living to 100 in the time of COVID-19: A Study of Late –Life Mortality Trajectories, Leonid A. Gavrilov, Ph.D., Natalia S. Gavrilova, Ph.D., Academic Research Centers, NORC at the University of Chicago Swedish Mortality Does Not Decelerate in Recent Cohorts, or Does it? – Roland Rau, Ph. D., Professor, University of Rostock & Max Planck Institute for Demographic Research, Rostock, Germany; Marcus Ebeling, Ph.D., Karin Modig, Ph.D., Associate Professor, Anders Ahlbom, Ph.D., Professor Emeritus, Karolinska Institute, Stockholm Sweden; Kai Kaufhold, Aktuar DAV, Ad Res Advanced Reinsurance Services GmbH, Cologne, Germany; Annika Ziegler, Lukas Stake, Hochschule Koblenz & Ad Res, Germany"