Description: The presenters will dig into the little rider that most actuaries don't spend much time thinking about. A regulator, a direct writer and a consultant will discuss their thoughts on this rider and point out areas where actuaries should focus before deeming it insignificant. Topics will include the current study underway to update the industry experience study (most recently done in 1952), underwriting considerations, interactions with other riders, benefit designs, unique issues on UL policies, tax implications and reserving considerations

Description: This session meets the needs of life insurance actuaries who are focused on experience studies, assumption setting, and/or product development. The presenters will use industry data to illustrate how policyholders react to product design, such as premium jumps in the PLT period and UL with high interest rate illustration, and trends in the life insurance market, including the introduction of smoking distinguished rates and the shift towards an increasing number of preferred underwriting classes.

Description: Actuarial transformation initiatives often require significant investment in time and resources. However, not all initiatives deliver the desired results. Complex integrations of new data and technology pose a significant challenge for business and technology teams to deliver on time and on budget. This challenge can be overcome if addressed thoughtfully with emerging technology and business-friendly tools which offer benefits to both actuarial business users and technology professionals. In recent years, low-code technology has emerged which empowers actuaries by providing capabilities for data analytics, self-service, and visualization without requiring extensive technical prowess. Pairing these tools with emerging cloud-based data management solutions allows actuaries to quickly manage and analyze large data sets along with enhanced governance and integration. By adopting these technologies, actuaries are empowered to deliver better outcomes for their organizations Come explore a panel of actuarial business and technology experts who will share their insights and experiences on how low-code technology solutions can empower actuaries with better access to data and analytics. The panelists will discuss real-world case studies to demonstrate the practical benefits of these tools and how they can be used to achieve better business outcomes.

Description: Experience report for life insurance policies with face amounts of $1 million or higher.

Description: Come prepared for an engaging workshop where you will have the opportunity to share thoughts on and work through a variety of questions concerning how actuaries must adapt to account for newer underwriting and distribution practices. Seating will be limited for this workshop focused on life actuaries who price and set assumptions for products impacted by new underwriting tools and processes such as accelerated underwriting (AU) or direct-to-consumer (DTC) distribution.

Description: "How long is long in longevity? – Jesús-Adrian Álvarez, Ph.D. - Danish Labour Market Supplementary Pension Fund (ATP), The Rate of Aging in humans is constant. New evidence – Marcus Ebeling, PhD., Research Group Mathematical and Actuarial Demography, Max Planck Institute for Demographic Research, Rostock, Germany, Department of Sociology and Demography, University of Rostock, Rostock, Germany; Roland Rau, Ph.D., Professor, Research Group Mathematical and Actuarial Demography, Max Planck Institute for Demographic Research, Rostock, Germany, C6 Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Håkan Malmström, Ph.D., C6 Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Anders Ahlbom, Ph.D., Professor Emeritus, Karen Modig, Ph.D., Associate Professor, C6 Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden Human Lifetimes: Finite But Not Necessarily Bounded – Fei Huang, PhD., School of Risk & Actuarial Studies, UNSW Sydney; Ross Maller, Ph.D., Emeritus Professor, Xu Ning, Ph.D., Research School of Finance, Actuarial Studies & Statistics, Australian National University, Brandon Milholland, Ph.D., IQVIA Plymouth Meeting, PA."

Description: Mortality Model Selection and Combination in RAlternative approaches for selecting mortality models and forecasting mortality have been proposed. The usual practice is to base mortality forecasts on a single mortality model selected using in-sample goodness-of-fit measures. However, cross-validation and other alternative out-of-sample measures are increasingly being used in model selection, and model combination methods are becoming a common alternative to using a single mortality model. Such methods combine predictions from multiple mortality models to reduce model choice uncertainty and improve forecast accuracy. Explore techniques to select and combine mortality models using the freely available open source R package CoMoMo (https://github.com/kessysalvatory/CoMoMo), which extends the widely used R package StMoMo (https://CRAN.R-project.org/package=StMoMo). We will use data for the USA and other countries to discuss and demonstrate four different model combination approaches including simple model averaging, Bayesian model averaging, model confidence set, and stacked regression ensembles.

Description: The Individual Life Experience Committee has completed their latest report on intercompany mortality experience by amount of insurance under standard individually underwritten issues. This includes study years 2009-2015.

Description: The Individual Life Experience Committee has completed their latest report on intercompany mortality experience by amount of insurance under standard individually underwritten issues. This includes study years 2009-2015.

Description: General Session III – The Ageing Process: From New Technology to New Medicine