Description: This paper examines the following three questions by reviewing literature that identifies and evaluates the tradeoffs among annuitization and self-managed drawdown strategies: 1. How DO Retirees Draw Down their Financial Savings? 2. How COULD Retirees Draw Down their Financial Savings? 3. How SHOULD Retirees Draw Down their Financial Savings?

Description: Explore an essay collection from the Society of Actuaries (SOA) Research Institute that focuses on how climate change may impact retirement security.

Description: This session will bring together the results of SOA work focusing on what employees prefer in retirement. The work includes a survey on the provisions that employees prefer in retirement plans, the results of a series of focus groups conducted with individuals prior to retirement and at various stages of during retirement, and highlights of 20 years of SOA sponsored surveys on retirement risk. The panel will discuss major findings and their implication for retirement resource program structures, design and planning.

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: "Living to 100 in the time of COVID-19: A Study of Late –Life Mortality Trajectories, Leonid A. Gavrilov, Ph.D., Natalia S. Gavrilova, Ph.D., Academic Research Centers, NORC at the University of Chicago Swedish Mortality Does Not Decelerate in Recent Cohorts, or Does it? – Roland Rau, Ph. D., Professor, University of Rostock & Max Planck Institute for Demographic Research, Rostock, Germany; Marcus Ebeling, Ph.D., Karin Modig, Ph.D., Associate Professor, Anders Ahlbom, Ph.D., Professor Emeritus, Karolinska Institute, Stockholm Sweden; Kai Kaufhold, Aktuar DAV, Ad Res Advanced Reinsurance Services GmbH, Cologne, Germany; Annika Ziegler, Lukas Stake, Hochschule Koblenz & Ad Res, Germany"

Description: How does retirement preparedness in the U.S. vary across racial/ethnic groups? This report compiles and analyzes a wide variety of works that look at this this question from specific questions. The result provides a broader perspective through comparison of seven metrics tracked from 2012 to 2021.

Description: Overview of the papers presented at the Retirement Implications of Demographic and Family Change Symposium

Description: What are the recent expectations of long-term trends in mortality? What are the limits to improvements in longevity? Join us as we review the factors impacting U.S. population mortality in the eyes of demographers. By the end of this session, you will have an awareness of the major causes of mortality and how they are trending.

Description: Come check out case studies regarding ethical dilemmas faced by actuaries in their day-to-day practice. You'll participate in an interactive discussion as presenters explore solutions to balancing various ethical considerations and have a better understanding of different ethical issues and how it impacts their practice by the end.

Description: This is a study of Pension Benefit Guaranty Corporation (PBGC) mortality experience. The study consists of data furnished by the PBGC for the time period of September 30, 2009 through September 30, 2014. All of the data come from single-employer pension plans taken over by the PBGC in a distress termination. This is the SOA’s first study of PBGC experience and provides another comparison point of retirement plans mortality experience for work performed by pension actuaries.