Description: Session 1D: Meeting the Mark - Predicting MA Stars Outcomes with Monte Carlo Simulations

Description: Session 2B: Pharmacy Risk Mitigation - Pricing, Programs, Pools, and Performance Guarantees

Description: Session 10F: Debating AI - Valuable Tool or Overhyped Trend?

Description: Modeling teams are getting larger to deal with more complex models and to support more enhancement requests from business and actuarial teams. Actuarial modeling teams can adapt tools and techniques used in the broader IT industry to be more efficient, handle large number of requests while maintaining their quality of work. Explore DevOps tools to track requests, progress made, work assignment and version control systems. See Azure DevOps in action as presenters use it as an illustrative tool to showcase these activities and how they can be beneficial to an actuarial modeling team (regardless of their preferred actuarial modeling system).

Description: We will discuss how climate change risk represents radical uncertainty and the challenges this presents in integrating climate risk analysis and traditional investment risk analysis. The session will then explain and illustrate why deterministic, narrative-based, scenarios form a suitable basis for analyzing the potential impact of climate change on investment portfolios and strategies. At the conclusion of this session, attendees will understand deterministic and stochastic approaches to integrating climate risk with economic scenarios and how these can be applied in investment management. Attendees will also understand the challenges in creating a realistic integration of climate and economic scenarios.

Description: Session 4B: Impact of GLP-1 Drugs on Health Care Cost Trend and Clinical Outcomes

Description: Virtual - Session 4A: Data Science-Driven MA Product Design Strategies

Description: The post COVID-19 period exhibited a fast-changing capital market with higher interest rates, uncertain monetary policies, and revaluation of asset classes. At the same time, regulators introduced changes to reward better risk management, such as the scenario-based approach for reserving under Bermuda regulatory framework. For life reinsurers, while new opportunities arising from these changes, challenges also exist to be able to adjust reinsurance portfolios and ALM strategies appropriately. A holistic modeling framework can assist companies better position themselves in front of these challenges and other potential future unknowns. In particular, a well-designed stochastic and dynamic modeling framework enables the quantifications of such probabilities and potential impacts.

Description: Come discuss the benefits and challenges of collaboration between academic institutions and industry stakeholders in shaping actuarial education and research agendas. Register for this event now.

Description: At the conclusion of this session attendees will be familiar with the status of the NAIC's GOES project and have a better understanding of the scenario sets under consideration and how they can be tested to assess the potential impact to principle-based reserve and capital levels.