Description: "On the decomposition of mortality models into causes of death – Andrés M Villegas Ph.D – UNSW Australia, Madhavi Bajekal, Ph.D.,HONFIA, University of London, UK, Steven Haberman, Ph.D. – Bayes Business School, University of London, UK Forecasting cause-specific mortality rates using the insights from the cointegration analysis, Séverine Arnold, PhD, Viktoriya Glushko, Department of Actuarial Science, Faculty of Business and Economics (HEC Lausanne), University of Lausanne, Switzerland"

Description: Scenario analysis for a pension plan is the process of assessing the effects of hypothetical events on the plan’s future financial position, providing tangible real-world examples of risks facing the plan. Long term risks for a pension plan can often feel abstract. Providing strong narratives around possible future events makes it easier for stakeholders to engage with these risks and potential mitigation strategies

Description: Overview/Foreword by the 2017 Symposium Chair and Foreword by the 2020 Symposium Chair.

Description: "Population Aging, Global Climate Change and Social Security – Sally Shen, Research Associate, Global Risk Institute, John A. Turner, Ph.D., Director, Pension PolicyClimate Change and Mortality Time for Actuaries to Pay Attention – Sam Gutterman. FSA, CERA, FCAS, FCA, HONFIA, MAAA"

Description: Whether focused on mortality, longevity, health or disability risks, biometric uncertainty is the foundation of our work. With a long history of processes and methods for analyzing biometric considerations, we run the risk of becoming stagnant in our thinking about the subject. The presenters will explore how companies can stay ahead of the curve in an environment of ever-changing medical and biometric influencers. They'll dig into cause of death trends, the obesity epidemic, genetic testing, wearables, other wellness tools and more. The presenters will also address the impact of changing risk assessment methods through predictive underwriting. This session is for anyone interested in staying at the forefront of biometric risk.

Description: Discover an introduction to decomposing differences in life expectancy by age and cause of death. Take a look into demographic techniques that decompose life expectancies at birth and older ages into the portions contributed by later age groups and causes of death-. These have been in existence for some time and provide a convenient device for analyzing mortality change over time as well as differences between sexes, countries, and ethnic groups. The methods will be described and illustrated by spreadsheet examples.

Description: The Society of Actuaries Strategic Research Program Steering Committee is pleased to release this report examining how well people estimate their own life expectancy.

Description: The Society of Actuaries Strategic Research Program Steering Committee is pleased to release this report examining how well people estimate their own life expectancy.

Description: "COVID-19 and excess mortality: an actuarial study – Camille Delbrouck, Aon Benfield, Belgium, Jennifer Alonso-García, Department of Mathematics, Université Libre de Bruxelles, Belgium, ARC Centre of Excellence in Population Ageing Research (CEPAR), UNSW Sydney, Australia Netspar, The Netherlands How did COVID-19 change the dependence structure across major causes of death – Han Li, Ph.D., Associate Professor, Centre for Actuarial Studies | Faculty of Business and Economics, The University of Melbourne, Victoria, Australia"

Description: "Demographic components of Future Potential Old-Age Support Ratios – Kirill Andreev, Ph.D., United Nations, Population Division, New York, Mila Andreeva, KAMA Consulting Effect of internal Migration on the Health of Taiwan’s Elderly People – Jack C. Yue, Ph.D., – National Chengchi University, Department of Statistics, Taipei, TaiwanPopulation Aging and Canada’s Social Contract: Covid-19 Catalyst for Change – Douglas Andrews, FSA, FCIA, Ph.D., Lori J. Curtis, Ph.D., – University of Waterloo"