Description: The Mortality Improvement Model, MIM-2021- V3. Different mortality projection methodologies are utilized by actuaries across applications and practice areas. As a result, the MIM Advisory Group (“Advisory Group”) developed a single framework to serve as a consistent base for practitioners in projecting mortality improvement.

Description: As China’s population officially ages, the government has now escalated reform of China's social security system to a national strategic level. The report of the 19th National Congress further mentioned construction of an old-age security system and social environment, painting a bright future for development of the pension industry. At the moment, development of China's pension industry is beginning a new journey. Learn about the current status and future development of pillar 2 pension, which is core to China's pension system; framework and operation management overview of Enterprise Annuity and Occupational Annuity; possible evolution paths in contribution payment methods’ investment operation models, and development of professional pension managers.

Description: The document is a report prepared by the Society of Actuaries in 2012, focusing on surveys conducted in Canada and the United States regarding retirement risks. It compares the findings of the two countries, covering concerns, strategies, and perceptions related to retirement planning and financial security.

Description: Gather with members and non-members in the China actuarial community to discuss recent topics and related issues in areas such as macroeconomic sharing, pension, investment, product strategy, and more.

Description: The SOA Research Institute tasked the Workforce Science Institute to investigate how retirement benefit plans can affect a plan sponsor’s workforce and business results. The following is an interview with Rick Guzzo and Haig Nalbantian co-founders of the Workforce Science Institute who are the researchers on this project. The interview gives a helicopter view of the project as well as provides some “food for thought” on how retirement plans can be designed to produce an effective workforce.

Description: Come discuss how reinsurers can work side by side with insurer to better develop products, and lift in the areas that reinsurers have more experience, help matching products with distributions (or vice versa) and provide advanced technologies associated with tools and software. The speakers will also present Direct to Consumer plan from various points of view, i.e., distributors, carriers, and reinsurers. Some case studies will also be presented where traditional reinsurers and asset-intensive reinsurers helped insurers bring products to life.

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

Description: Retirement planning generally includes a focus on decisions needed at time of retirement, but it often fails to focus on changes during retirement and additional decisions needed as people age. The 2021 SOA Risk Survey and other SOA research documents the lack of focus on future change. It is common for people to lose cognitive ability and generally to become less able to make decisions, manage their finances, their medical care and their lives at high ages.This panel focuses on communication and decision issues. The SOA has recently issued a decision guide on High Age Decisions. The brief identifies four domains for high age decisions: ·Health, health care and staying healthy ·Managing finances ·Housing and transportation ·Support networks The panel will include a discussion of communications and how we change, problems of physical, hearing, sight or cognitive decline and the challenges created and the four domains in the SOA Decision Brief.

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: Some research implies that micro SDOH-related risk factors can influence a significant proportion of an individual's overall health outcome. Contained in SDOH are items such as mental health, ongoing social connection and interactions, transportation, financial confidence, and other items.