Description: The first annual report on the study of the morbidity experience of Group Supplementary Major Medical Expense insurance. From the Transactions of Society of Actuaries, 1967 Reports.

Description: This paper, a study of Canadian life insurance company expenses, is regarded by the author, Arthur Pedoe, as a continuation of his earlier study presented to the Society of Actuaries in 1952 TSA IV, 485. In examining various expense trends the author emphasizes what he feels to be useful, namely an overall expense ratio defined as actual to expected total company expenses. The paper and ensuing discussion explore how expected expenses should be determined, as well as examining trends in group business expenses, among other topics. From 1961 Transactions Vol. 13, No. 35 AB.

Description: Provide users with a demonstration of the 2012 IDEC Claim Incidence and Termination Rate Tables and adjustments to these tables to reflect experience of key segments of the business. Compares active life and disabled life reserves based on the Base Tables and CIDA.

Description: Data Request from individual life carriers who have policies that have a waiver of premium provision.

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.

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: This session will present results of the most recent SOA/LIMRA studies of variable and fixed-indexed annuity policyholder behavior including withdrawal behavior, guaranteed living benefit elections and surrender activity. Conducted annually since 2006, a discussion on the results of these studies show how they have changed over time, as well as areas where the analysis will need to change or expand. After that, the presenters will focus on dynamic lapse for hot money businesses, which is an important topic for fixed deferred annuity. Key takeaways from this area will include an understanding how to differentiate between hot money and warm money, the different formulas used in the industry, and how to adjust an asset portfolio to protect against the risks associated with hot money businesses.

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: This article shows some vital statistics of Canada including births, deaths, marriages and divorces per 1000 population along with motor vehicle deaths in the years 1972, 1975, 1978 and 1981.