Description: In this session, we will explore recent industry-wide studies focusing on mortality and policyholder behavior patterns across both Life and LTC lines of business. The Life study analyzes extensive data collected over 2018-2022, providing a unique perspective on trends heading into, during, and emerging from the pandemic. The study covers 2.5 million deaths and over 5 million voluntary surrenders and fund lapses across term and permanent life products. The LTC analysis will focus on the components of policyholder termination, with an additional perspective of total termination patterns prior to, during and post-pandemic periods. The analysis will examine cohorts of policyholders to identify the area of largest deviations from expectation and how that translated into short term results as well as where we are today. The aggregation of experience across participating companies provides insights into areas where a particular insurer’s data is not credible on its own, including: older ages, preferred/standard classes and more. At the conclusion, attendees will have an understanding of how experience emerged and considerations for setting assumptions going forward.

Description: In this session, we will explore recent industry-wide studies focusing on mortality and policyholder behavior patterns across both Life and LTC lines of business. The Life study analyzes extensive data collected over 2018-2022, providing a unique perspective on trends heading into, during, and emerging from the pandemic. The study covers 2.5 million deaths and over 5 million voluntary surrenders and fund lapses across term and permanent life products. The LTC analysis will focus on the components of policyholder termination, with an additional perspective of total termination patterns prior to, during and post-pandemic periods. The analysis will examine cohorts of policyholders to identify the area of largest deviations from expectation and how that translated into short term results as well as where we are today. The aggregation of experience across participating companies provides insights into areas where a particular insurer’s data is not credible on its own, including: older ages, preferred/standard classes and more. At the conclusion, attendees will have an understanding of how experience emerged and considerations for setting assumptions going forward.

Description: Come check out opportunities and challenges associated with using predictive analytics for LTC. You'll learn how carriers are using predictive analytics to support a range of business functions, including: - Pricing - accelerate underwriting without jeopardizing the risk profile for your new products - Experience studies - enhance your understanding of block performance and capture more granular experience trends in your assumptions with less subjectivity - In-force management - facilitate insight-driven interactions that improve policyholder satisfaction and optimize operational costs Expect panelists to discuss the infrastructure required to deploy predictive analytics and the ways in which predictive analytics can help drive key outcomes, including, improved market competitiveness, enhanced understanding, improved efficiency, and better policyholder outcomes. They will also talk about key hurdles to adoption, and considerations for overcoming these hurdles.

Description: This webcast will walk through several statistical methods for imputing race and ethnicity from U.S. datasets, highlighting their strengths and weaknesses, talking about how to use them and evaluating their accuracy, and telling you where you can get code packages as well as a free dataset to try the methods out.