Description: Modern actuarial work, being quite data intensive, provides many opportunities for actuaries to use the statistical skills that are part of their basic training. Furthermore, modern computing allows us to analyze vast quantities of data intensively, and each package will provide statistical 'answers' to any questions the actuary might ask of it.

Description: Session 1F: The Math Behind The Machine - A Review of First Principles

Description: How well can we predict ACA HHS Risk Adjustment Data Validation (HRADV) results? Put another way, how susceptible is the current HRADV process to small sample volatility? What potential remedies are there to the current model's shortcomings? Every plan, regardless of how many members they have above the 1000 minimum, count equally if they qualify for an HRADV with how the result is interpreted, and the subsequent HRADV risk transfer ($330M in 2023).

Description: Sarah Rockhill, MPH, Geospatial Epidemiologist at CDC will discuss the latest in the Public Health 3.0 model in which leaders serve as Chief Health Strategists, partnering across multiple sectors and leveraging data and resources to address social, environmental, and economic conditions that affect health and health equity.

Description: With the unprecedented proliferation in the size and complexity of data over the past decade, actuaries have invested considerable time and energy in the development of new skills and expertise in order to be able to understand and use “big data” to its fullest potential in the development of actuarial work product.

Description: In this presentation, we will delve into the realm of structured finance, placing a spotlight on advanced structured finance modeling. This session will first explore the growth of structured assets in the insurance space, and the reasons behind this growth. We will then conduct a deep dive into different credit models underlying the cashflow projections of different types of structured securities, including an overview of approaches for modeling the prepayment rates, default rates, and loss severity. We will also explore how a refined credit model can help insurance companies evaluate the risk-return tradeoff of investing in different structured assets. This session aims to enhance understanding of structured finance products and how to model them.

Description: This session will explore recent and historical advancements in computing relevant to actuarial analysis. We will provide a comprehensive overview of the current landscape, tracing the journey of how we arrived here and how actuaries are already harnessing these innovations. This session will primarily be focused on hardware and as software programming interfaces the latter, in effect, helps accelerate code and ease of access to specialized hardware. We will also examine optimization opportunities involving the intersection of the two.

Description: ALM and hedging can reap significant benefits from innovation in computation and operations research. Explore applications of static and dynamic optimization in two different ALM and hedging use cases. Insurers are increasingly moving offshore by establishing Bermuda captive reinsurers. In calculating the Bermuda Best Estimate Liability ('BEL'), reinsurers will need to segment assets to support liabilities in each treaty. A Linear Programming ('LP') problem can be formulated to tactically select assets in a way that minimizes the BEL and consequently the total asset requirement. Learn more about what US Variable Annuity Insurers face with the regulatory requirement to reflect 'future hedging strategy' in their statutory funding calculation. The traditional numerical method of finding the optimal hedging target and then allocating assets may encounter the curse of dimensionality with expanding product and economic environment complexity. A Reinforcement Learning algorithm may well fit this problem and provide insurers a solution for dynamic hedging.

Description: Virtual - Session 1D: Pharmacy Risk Mitigation - Pricing, Programs, Pools, and Performance Guarantees

Description: Session 10B: Comprehensive PBM Performance Evaluations Including TCOC Impact