Description: Term products exhibit a wide range of behavior as policyholders can elect different term periods and conversion options. While term products have been around for decades, it's only recently that longer level term products are reaching the end of the level term period. Term conversions have historically been an afterthought and are rarely modeled. Discuss the use of predictive modeling techniques such as LASSO regression and cross-validation to build models for level term lapses and post-level term shock lapses, as well as the extrapolation of experience for shorter term products to longer term products (e.g., extrapolating 20-year term experience and applying to 30-year term). Explore the use of traditional techniques to develop term conversion rates and a framework for modeling the assumption. Challenges and limitations of setting lapse and conversion rates will be discussed. By attending the session, you will: - Understand the complexities of term policyholder behavior. - Understand the challenges in developing and implementing assumptions for lapses and conversions. - Understand the application of traditional and predictive modeling techniques for term policyholder behavior.

Description: Oliver Wyman will share results from their recent Fixed and Index Annuity experience studies. Discuss fixed annuity dynamic lapse experience and learn about cross impacts of mortality and lapse on GLWB utilization. By attending the session, you will: - Understandg industry experience trends. - Comprehendindustry dynamic lapse experience for fixed and index annuity products. - Learn about areas of cross impacts of mortality, lapses and GLWB utilization.

Description: The Individual Life Experience Committee has numerous research projects underway. Take a look at three current areas of research: the analysis of the interaction of lapse and mortality experience using data from mandatory submissions; a deep dive into old age mortality; and an update on the committee's work to establish a predictive analytics framework that will be open for all actuaries and data scientists to use. By attending the session, you will: - Better understand the research conducted by the Individual Life Experience Committee. - Better understand the link between lapse and mortality experience, appreciate some of the nuances of older age mortality, and gain knowledge about a predictive analytics framework that will be released in the future.

Description: 2021 ImpACT Conference - Session 3D: Individual Life Experience: Committee, Contest, COVID-19 and Data Update 10.26.21 Recording

Description: Volatile interest rates, repositioned investment portfolios, and stress in the banking sector are driving insurers to manage market risk and counterparty credit risk. Our experts in investments, derivatives, and hedge accounting will discuss this new market environment and its impact on hedging. The conversation will include practical case studies, including hedging future bond purchases, hedging floating-rate CLOs, and counterparty credit risk management.

Description: Discuss population mortality improvement trends in the U.S. This will include analysis of cause of death data and trends in mortality pre-pandemic and during the pandemic. We will also discuss ways to think about translating population mortality improvement to an insured population.Learning outcomes includea better understanding of the drivers of recent mortality improvement and insights on how to create a company view on mortality improvement.

Description: Focus on Accelerated Underwriting (AUW) in the life insurance industry, which is an expedited underwriting process that utilizes predictive models. Expect to address the challenges in designing the process, from modelling to performance monitoring. Additionally, you'll address risk management, particularly in mortality and proxy discrimination andhighlight the role an actuary can play in the AUW process, as well aswhat they should know to contribute effectively.

Description: Walk through real-life examples of how artificial intelligence (AI) can be used to drive insights and aide actuaries in improving the management of their company's inforce book of business. Hear a panel of experts go step-by-step through case studies, showing how practitioners leveraged predictive analytics for solutions to tap further into their data and draw improved insights.Leave the session with knowledge of how to partner advanced machine learning techniques with the actuarial skills and insights to better understand policyholders' behavior to more efficiently enable accelerating revenue and further profit realization.

Description: Amid macroeconomic uncertainty, proactive lapse management is becoming a growing strategic focus for Life and Annuity carriers. Interest rates have been increasing rapidly during the last eighteen months and insurers, especially annuity writers, have started to see higher lapses and withdrawals. After a prolonged low interest period, many insurers will have to (re)build capabilities to enable proactive lapse management.

Description: Given the rise in interest rates during 2022, join an insightful discussion on the implications of increasing rates on fixed annuity (FA) and fixed index annuity (FIA) business by looking at industry experience for FA and FIA products for 2022 compared to earlier years. Additionally, you will walk through partial withdrawals, guaranteed lifetime withdrawal benefit (GLWB) utilization, mortality and what to expect as interest rate volatility continues.