Description: At the conclusion of the first part, attendees will be able to describe sources of reserve redundancy for products under Principle Based Reserve (PBR) and products under Commissioners' Annuity Reserve Valuation Method (CARVM). Such products include Term Life, Whole Life, Universal Life, and Fixed Annuity with and without rider. We will also review sources of capital redundancy from the C-1 factor under Risk-Based Capital (RBC) and assets such as Unrated Asset Credit Fund can have high C-1 factor even if its risks are limited. At the conclusion of the second part, the attendees will learn about potential Reserve Relief reinsurance solutions. Such solutions can provide Reserve Relief for annuity and term life businesses, as well as potential innovative asset-side solutions. Asset managers can structure assets that the C-1 factor aligned with the corresponding risk.

Description: In this webinar, the presenters will give a behind the scenes look at how the NAIC ESG was parameterized. They will also share the results of its most recent calibration.

Description: Explore various aspects of the Asian reinsurance market in this webcast. Learn about the landscape within the market as speakers cover key topics like product perspectives, structured solutions and emerging trends and issues. Take an in-depth look at the post COVID-19 impact, as well as regulatory considerations that could affect the Asian reinsurance industry. Secure your spot in this opportunity and dive into the direction of this marketspace.

Description: In this session a panel of industry experts from the life insurance industry will examine the modeling challenges created by increased investment in more esoteric assets.

Description: Following recent market volatility and regulatory changes, market data and market-consistent economic scenarios are at the core of the valuation of liabilities and market risk benefits under regimes such as IFRS 17 and Long Duration Targeted Improvements. This webcast will explore options available to insurance companies to establish stable long-term volatility assumptions and discuss how the choice of financial data can impact the calibration and the simulation of credit spread scenarios.

Description: In this session, we will explore the innovative use of artificial intelligence in developing narrative scenarios to enhance life insurance investment strategy discussions. Participants will discover how developing comprehensive and imaginative scenarios can help identify potential future risks and opportunities, leading to more informed investment strategy planning. The session will cover practical approaches to creating and utilizing narrative scenarios, emphasizing their role in improving decision-making processes. Join us to learn how to craft compelling scenarios that provide a broader understanding of drivers of emerging trends and uncertainties, ultimately transforming traditional investment strategies in the life insurance sector. Learning Outcomes: - Understanding the role of AI in Scenario Development - Enhancing Investment Strategy Decision-Making - Writing comprehensive scenarios and using them for specific investment strategy decisions

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: The NAIC Generator of Economic Scenarios (GOES) Project is scheduled to go live in January 2026. Over the past five years the GOES economic scenario generator has evolved significantly. Important modifications such as the flooring of interest rates and the process for initializing the time 0 interest rate yield curve has been part of this evolution. The introduction of a suitable Stochastic Exclusion Ratio Test (SERT) and associated deterministic reserve (DR) has also evolved and remains a work in progress. At this point in the GOES project, several field tests and model office results are available that provide some insight into the differences between the current AIRG model and the GOES model that is about to be introduced.

Description: Join a discussion on the evolution of asset and liability projection processes in the life insurance industry. Familiarize yourself with the broad set of inputs, stakeholders, and financial planning and analysis use cases. Notable areas of focus will include, but are not limited to, historical background, modeling needs, interactions between stakeholders, industry pain points, and a composite of an ideal future state informed by perspectives gleaned from leading companies within the industry.

Description: Discover investing trends across the life and health industry as insurers seek to navigate rapidly changing rate and market environments. BlackRock will present results from its Peer Risk Study, which models industry holdings based on statutory filings at the CUSIP level. Through the Aladdin risk modeling software, expect a production of deep insights into insurer portfolio risk and return characteristics, as well as exploring how they have evolved. Keep an eye out for a partner to present on the evolution from their perspective. Start learning about what is happening on the asset side of the balance sheet across the industry.