Description: LTC insurers are beginning to implement population health programs to improve the lives of their policyholders before and during a claim. Measuring the financial impact of these programs can be difficult for a variety of reasons and multiple methodologies are used to evaluate treatments or programs. This article proposes two different methods of randomized control trials to evaluate the impact of these programs through a case study approach, along with additional potential considerations when evaluating effectiveness.

Description: The session begins with a brief introduction to Gen AI, including “what it is” and how to optimize outputs. Then, we will to provide some insight into what we are seeing within the Actuarial space – this would include the extent to which actuaries are using Gen AI on a day-to-day basis, how they are going about using it, and some predictions as to where this will go.

Description: This article explores some key challenges facing the modeling actuary related to LDTI implementation and shares associated compliance and modernization considerations.

Description: Discount rate curve construction has been a topic of renewed interest following recent changes in financial reporting standards. Interpolation is a key component of curve construction and can be conducted via an assortment of methods. This article explores six popular interpolation techniques and assesses how they perform with regards to desirable features of such methods: continuity of forwards, stability and locality, simplicity, and market consistency.

Description: Actuaries can leverage cluster modeling to reduce model runtime and cloud compute costs, which can be a real concern as companies transition from an on-premise grid to a scalable cloud solution. We consider practical considerations associated with clustering, through both US statutory and US GAAP lenses. Lastly, the results from a variable annuity liability clustering case study are presented.

Description: This session will focus on what is new and coming at the Appointed Actuary (e.g., Actuarial Guideline ((AG)) 53, equity testing, etc.). We will provide highlights from the updated AAT Practice Note. A particular focus will be paid to asset classes that have received regulatory attention recently (e.g., commercial mortgage loans, collateralized loan obligations ((CLOs)), etc.).

Description: When it comes to climate-related risks, what does the future hold? Will we see a rise in global temperature of 3 degrees Celsius or more, or can we keep it to less than 1.5 degrees? Will we see ambitious climate policies instituted globally in the near future, or will the status quo prevail, leading to irreversible changes to the climate and more severe physical risks? As actuaries, we are accustomed to planning for an uncertain future, but assessing the long-term impact of climate change poses a unique challenge. There are several public institutions developing scenarios like those above and others, which can help actuaries understand and assess the risks posed by a changing climate. Through scenario analysis, organizations can consider a range of possible outcomes to inform decision-making. Scenario analysis can be qualitative or quantitative, and there is no uniform framework that is currently being used by organizations that are studying the impact of climate change on their business. At the end of this session, participants will be able to: - Describe future climate scenarios. - Describe how actuaries can use scenario analysis to assess the impact of climate change and climate policies. - Explain why actuaries might use scenario analysis to understand climate risk.

Description: Our panel will discuss techniques for efficiently modeling assets and liabilities while minimizing the computational expense of full-blown nested Monte Carlo simulation. These techniques include: • Neural networks • Data clustering and selection of representative contracts • Scenario reduction • Proxy functions for estimating the value of complex assets and exotic derivatives embedded in liabilities. Attendees will learn about the theory behind these techniques and implementation practicalities, and we will present case studies illustrating their benefits.

Description: CMS has required hospitals to publish their chargemaster rates, cash discounts and negotiated rates as of January 1, 2021. Our panel is comprised of a data strategist, an executive from a large hospital system and an actuary.