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: 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: 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: 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: 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: Discover an introduction to decomposing differences in life expectancy by age and cause of death. Take a look into demographic techniques that decompose life expectancies at birth and older ages into the portions contributed by later age groups and causes of death-. These have been in existence for some time and provide a convenient device for analyzing mortality change over time as well as differences between sexes, countries, and ethnic groups. The methods will be described and illustrated by spreadsheet examples.

Description: "Population Aging, Global Climate Change and Social Security – Sally Shen, Research Associate, Global Risk Institute, John A. Turner, Ph.D., Director, Pension PolicyClimate Change and Mortality Time for Actuaries to Pay Attention – Sam Gutterman. FSA, CERA, FCAS, FCA, HONFIA, MAAA"

Description: Life insurance with LTC features is exciting business to produce, but the complex for a valuation actuary at year-end. This session will discuss setting morbidity and policyholder behavior assumptions for principles-based reserving and cash flow testing more generally. We will review considerations for GAAP reserving for hybrid products. We will highlight the interaction of assumptions whose risks offset (mortality, morbidity, lapse, and more) and how the valuation actuary may think of these in sensitivity testing and setting prudent estimates. Panelists will draw from the 2022 Academy of Actuaries Combination Product Valuation Practice Note.Finally, we will discuss reserve assumption setting in light of public-private LTC legislation (e.g. Washington Cares), which inspired sales of hybrid life and LTC products in the individual and worksite markets.

Description: Both LDTI and IFRS 17 have introduced numerous new metrics with most companies having only crossed the finish line, just complying with what's needed for reporting due the complexity and large amounts of data required to simply comply. How do you leverage all the work you did to get proper business insights across the organization that tie back to these reporting metrics? This presentation covers a perspective of pain points faced in getting over the the hurdle in complying with LDTI and IFRS 17, upcoming hurdles, emerging KPIs, as well as how to best manage the data, technology, and processes to produce the analysis around these KPIs efficiently.

Description: As companies have reported their latest financials for 2023, LDTI is in its full swing for the public companies. Under US GAAP reinsurance accounting methods can be daunting. Add onto this legacy practices related to reinsurance reporting and this may lead to significant unwinding and implementation efforts. This session will discuss industry practices commonly applied to US GAAP reinsurance reported balances such that LDTI adopters can gather deeper insights into the LDTI impact. Specifically, the session will explain the two most popular methods to value reinsurance under LDTI, methods applying a direct measurement of the reinsurance net cost and a method that recognizes ceded asset balances and a cost of reinsurance (“CoRe”). The session will present simplified direct and ceded models to demonstrate how the actuarial balances under LDTI impact GAAP book profits for different underlying products and reinsurance types.