Description: Mortality is a fundamental element in the financial projections of the finances of social security programs around the world. Prominent actuaries from the U.S. Social Security Administration, Canada's Office of Superintendent of Financial Institutions and the U.K. Government Actuary's Department will discuss some of the key factors and current issues associated with these projections. Improving mortality has and will have a significant effect on the affordability and importance of income through retirement to many population segments in these countries.

Description: "Driving Longevity Through Educational Attainment – Robert L. Brown – Ph. D. Higher Age U.S. Mortality By Education and Cause of Death Trends, Inequality and Controllable Risk Factors – Andrew J. G. Cairns – MPA Ph.D., Maxwell Institute for Mathematical Sciences, and Department of Actuarial Mathematics and Statistics, Heriot-Watt University, Edinburgh, Scotland, UK, Cristian Redondo Lour´es, Ph.D., Actuarial Solutions,"

Description: Read this Chairperson's Corner for the March 2024 issue of International News to learn more about planned meetings and upcoming events.

Description: "Weighted compositional data analysis for modeling and forecasting life-table death counts – Han Lin Shang, Ph.D., Professor of Business Analytics and Director of Research at the Department of Actuarial Studies and Business Analytics at Macquarie Business School, Macquarie University, Sydney, Australia, Steven Haberman, PhD, Bayes Business School, City University of London, UK Compensation Effect of Mortality as a Challenge to Life Extension – Natalia S. Gavrilova, Ph.D., Leonid A. Gavrilov, Ph.D. Academic Research Centers, NORC at the University of Chicago"

Description: In this third issue of International News in 2022, we feature a contribution by SCOR, a leading reinsurer, highlighting the Actuarial Awards that SCOR presents annually, since 1996, to the best academic work in actuarial science, with annual prizes in several countries throughout the world. We also feature an article by Jessica Leong, FCAS, on barriers that Asian women must overcome to become leaders. Jessica recounts her own experience and how in overcoming some challenges she became the first Asian president of the Casualty Actuarial Society.

Description: "Minimum Social Security Benefit (s) and the Alone Stage of Retirement in the U.S.? – Lori J. Curtis, PhD., Douglas Andrews, FSA, FCIA, Ph.D., University of Waterloo The Importance of Cognitive Health – Gordon Woo,Ph.D., RMS LifeRisks"

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: Overview of the diverse Asia markets and four key themes:Rapid pace of product development, innovative underwriting solutions, Wellness, the rise of insurtech.

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: 2011 Enterprise Risk Management Symposium, Chicago. This study investigates whether simulation-based models can be used to predict liquidity risk for banks, which must comply with Basel III by January 2015. The paper looks at the process of developing a measurement framework using Black-Scholes and Merton’s asset-based models to measure liquidity risk.