Description: As we step out of a historical pandemic that put words like life expectancy and mortality rate on everyone's vocabulary, we suffer some measure of intellectual PTSD. This dark period magnifies our cognitive bias as we try to understand future mortality, a key variable both for life insurance and pension plans. Does our propensity to quantify and the attractiveness of new predictive modeling tools cloud our judgment? Check out a reflection framework and insights on scientific discoveries that will allow you to develop plausible scenarios that will enrich your thought process. The panelist will start by presenting what is new when we think about future mortality. We will then facilitate the generation of plausible scenarios by the audience and explain how we evaluate them. There will be no answers, but the relevance of your mortality questions will definitely improve.

Description: Highlight the importance of assigning granular policyholder behavior assumptions to cohorts of a block that behave differently for universal life products. The case study assumption testing will focus on potential cash flow impacts of surrender, lapse and premium persistency behavior— individually and combined. The case study will be based on testing data related to typical demographics for a ULSG product and not on any specific company data.

Description: LDTI requires that reinsurance recoverables be recognized in a manner consistent with the liabilities of underlying direct contracts. Consider implications of multiple ceded reinsurance contracts (e.g., coinsurance and YRT on the same business) and how this impacts the calculation of the net premium ratio (NPR) and other related approximations. Explore different options when only some of the policies within a cohort are reinsured. Multiple interpretations of the components of the NPR formula exist. Two main approaches will be presented-standalone and integrated approach. Other considerations to be discussed include implications of closed-block reinsurance transactions at transition and subsequent to transition, contra-DAC, market risk benefits. Finally, explore the short-duration YRT approximation (1/2 Cx) compared to the long-duration calculation.

Description: This session on Innovations in Underwriting will explore the latest advancements in underwriting technology and methodologies. It will focus on how these innovations are transforming the insurance industry, making underwriting processes more efficient, accurate, and customer-friendly. Topics will include the integration of artificial intelligence (AI), machine learning, and big data analytics into underwriting workflows. Additionally, we'll discuss emerging trends in risk assessment, automation of underwriting tasks, and the implications of these changes for underwriters and insurance professionals. Attendees will have the opportunity to learn from industry experts and participate in discussions on how these innovations are reshaping traditional underwriting practices. Learning Outcomes: - Gain an understanding of the latest technological advancements impacting underwriting, including AI, machine learning, and data analytics. - Learn how these innovations can streamline underwriting and pricing processes, improve accuracy, and reduce costs. - Explore new risk assessment methods and discover how automation is changing the underwriter's role. - Identify best practices for integrating innovative technologies into existing underwriting and actuarial pricing frameworks.

Description: Behavioral Science is a powerful tool to enhance customer experience and improve outcomes across the life insurance value chain. This session will cover the foundations of behavioral concepts in a life insurance context and discuss practical areas that can benefit from behavioral science including customer engagement, disclosure, and retention. The session will leverage recent SOA research and specific experience in communication campaigns and call center best practices to translate theory to quantified results. Attendees will leave with an appreciation for potential challenges and practical steps to measure and demonstrate the value of implementing behavioral science.

Description: Delves into the impact of rising interest rates on annuity product management, with a focus on the challenges of disintermediation and implications to hedging. Learn about in-force management actions, best practices for managing annuities in a changing environment and associated risks. Explore how companies are revising their hedging strategies to adapt to shifting market conditions and regulatory framework changes. Gain a comprehensive understanding of the relation between rising interest rates and disintermediation, its financial and business impacts, and strategies for managing business and setting assumptions during periods of high disintermediation. Come away with practical strategies for optimizing returns, minimizing risks, and navigating the challenges and opportunities associated with annuity product management in the current interest rate environment.

Description: LDTI's roll forward disclosure requirements include line items for the impact of actual variances from expected experience (A/E) for both net premiums and benefits. These aggregate A/E amounts provide some insight into how actual experience is emerging relative to expectations, but they do not provide insight into either the drivers of the deviations or their significance.

Description: Gain an overview of the requirements for the new asset adequacy Actuarial Guideline 53 (AG53) guideline for complex assets. You will discover helpful insights and considerations for multi-scenario testing and sensitivity testing as well as approaches to developing attribution analyses for complex assets. You will also receive insights from any published regulatory materials that help describe what worked well and what needs improvement based on the initial AG 53 submissions from year-end 2022.

Description: Dive into the released enhancements of MIM-2021, including a run through of its purpose and evolution, during this webcast. The Mortality and Longevity Strategic Research Program plans to release these updates in October. You will leave this webcast with an understanding of how to create a mortality improvement scale using the necessary steps and tools. Learn how to use MIM-2021 through instruction and demonstration that will properly prepare you to utilize this tool. There will be time for questions where you can ask about the projection process or provide feedback.

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.