Description: In this session, we will discuss best practices in ALM and Strategic Asset Allocation (SAA) modeling approaches to account for the complex relationships between insurance liabilities and the portfolios backing them. We will highlight how robust modeling techniques not only result in optimal asset decisions from a long-term value perspective but can also result in better capital efficiency. At the conclusion of this session, attendees will be able to identify the key aspects of a successful ALM and SAA framework for liabilities subject to PBR.

Description: In this session, we will review how the previous and current concerns of pharmacy actuaries will affect the forecasting and review of upcoming pipeline events. After this session, attendees will have a broader understanding of the implications of what is coming next in the pharmacy pipeline and how they can be thinking about it.

Description: As health insurance self-funding becomes more popular among smaller group sizes, risk is evolving for the MGUs, stop loss writers, and reinsurers that cover them. Assessing more small groups at lower attachment points means rethinking traditional stop loss underwriting techniques.

Description: When designing and pricing a healthcare product, it is not only important to know how to model frequency and severity, but it is essential to understand human behavior. Of course, the issue of anti-selection in medical insurance is well known as individuals know more about their health and prior expenditures than an insurer does. This type of behavior is certainly rational, and to be expected.

Description: Join us as we delve into the dynamic landscape of the Fixed Indexed Annuity industry. Presenters will discuss trends observed in recent FIA experience, observations from their own company's data, and findings from Milliman's FIA industry experience studies. Key results include a view of surrender behavior relative to market dynamics and comparisons with industry predictive models, serving as a benchmark to explore where industry experience aligns with expectations and where potential surprises have emerged. Through a combination of data-driven analysis and expert interpretation, attendees will gain valuable perspectives on the evolving FIA landscape, enabling them to make informed decisions to navigate future challenges.

Description: Historically for coinsurance deals some appointed actuaries have only concerned themselves with the reinsurer counterparty risk and in certain cases have ignored 100% coinsurance business in their asset adequacy analyses (AAA). Recently there have been regulatory discussions about concerns relating to asset intensive reinsurance and how these deals may be exposing policyholders to additional risk. Presenters will discuss the recent draft APF 2024-3 and issue brief 'Asset-Intensive Reinsurance Ceded Offshore From U.S. Life Insurers (With Focus on Bermuda)', potential impact to AAA, and modeling considerations.

Description: June 2024, AG54 will begin for new RILA sales. This guidance requires companies to determine an interim value that is more aligned with the market value of the position on a daily basis. This discussion will talk through companies adoption of AG54, lessons learned, approaches and integration with the administration system. Additionally this session will discuss how AG54 impacts new product design, reserving and capital implications.

Description: In this presentation, members of the Sexuality and Gender Alliance of Actuaries (SAGAA) will review some of the basic biases that impact us all personally and professionally. Followed by a deep dive into the history of how the insurance industry has handled both applicants and policyholders who are living with HIV, which disproportionately impacts communities of color and the LGBTQ+ community, and how systemic biases that are formed over decades impact the marketplace today.

Description: To evaluate the impact of SDOH risk adjustment on financial outcomes for Medicaid ACOs and managed care organizations (MCOs, which the authors refer to interchangeably with ACOs in this report), the authors calibrated risk-adjustment models with the addition of SDOH risk factors and then they simulated financial outcomes for ACOs/MCOs across synthetic state Medicaid managed care markets with and without SDOH risk adjustment.

Description: The document explores how AI-supported underwriting influences mortality slippage in accelerated underwriting and evaluates real-world applications, risks, and industry impacts.