Description: Analyze financial risk and explore the foundation for pricing, valuation and other functions served by actuaries in the modeling profession during this webcast. Expect a focus on the importance of understanding and preventing bias. Observe the different types of bias, how it can enter into models, how to identify it in models and best avoidance practices. Join our presenter who is pursuing a Masters in Economic Analytics at Clemson University as he incorporates his recent economic research into the webcast material.

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: Keynote Speaker: J.D. Kleinke, Author and Medical Economist J.D. Kleinke has been instrumental in the creation of four health care information organizations; has served on the Boards of several health care companies; and spent many years advising both sides of the political aisle on non-partisan, practical approaches to health policy and legislation.

Description: Global trends in both technology and regulation are causing U.S. insurers to reflect more deeply on their model risk management frameworks. The world has seen a rapid proliferation of AI-based tools accompanied with an overall increased usage of machine learning models, exacerbating model risk and reducing transparency in an unprecedented manner.

Description: Principle-Based Reserves for fixed annuities are coming. Hear the latest from industry experts on the current Valuation Manual (VM)-22 draft and field test, as well as when it will be effective. Participants will learn about principle-based reserving for fixed annuities and be better prepared to implement it.

Description: It's your first full day of productive learning! Start it off right with a delicious breakfast and warm welcome.

Description: The use of data to assess risk is not new to the life insurance industry, but has historically been limited to leveraging structured data. Join us as we discuss the next frontier: unstructured data.

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: Summary - VM-22 will be finalized during 2025, with an optional phase-in period beginning Jan. 1, 2026, and mandatory implementation by Jan. 1, 2029. This session will discuss the regulation, including background, calculations, high-level results from the field test, and other modeling, as well as key considerations and documentation for actuaries and companies as they prepare to transition their fixed annuities into a principle-based reserve framework. Attendees will better understand the new VM chapter and some of the thinking behind the decisions made.

Description: Understanding Asian Capital Regimes