Description: Session 5D: Reflections on a Post-VBID World

Description: With long-duration targeted improvements (LDTI) and interational finanial reporting standards (IFRS) 17, the insurance industry just underwent the adoption of two of the most significant accounting changes in recent history. While many companies have now successfully completed their implementation projects and have passed their first external audit reviews, they have had to do so under tight deadlines with limited resources.

Description: In this session we will discuss the challenges that companies have with reporting under the new LDTI and IFRS17 requirements, and the risks that it brings to their processes.

Description: There is increasing industry interest in applying behavioral science to optimize product design decisions and improve outcomes for both insurers and their customers. With a growing set of options within product designs, predicting consumer behavior continues to get increasingly complex. Join this webcast for an overview of key behavioral economic concepts. Key insights will be shared from two SOA projects that explore how behavioral economic techniques can be used in various parts of the life insurance new business process and enforce management.

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: "During the pandemic there has been provider burn out, early retirement, hospital consolidation, and lack of staff in step down facilities. It is taking longer to get appointments. Take a look at the impacts of this andat how this can affect quality ratings in Medicare. You can also explore meeting quality incentives in Medicaid and how the current requirements for these plan to say they have adequate networks. Will the provider shortage have an effect upon actuarial rate certifications? If so, how? Are there any forecasts for how long this shortage will last? What are the impacts to care giving to the Seniors and Medicaid beneficiaries as well as plan design changes? Those who are intermediate level Medicaid and Medicare actuaries are encouraged to attend. By attending this session, you will be able to: Have a good understanding of the current Medicare and Medicaid situation and its impacts Understand strategic ideas of how to keep quality of care and access to care available"

Description: It's your first full day of productive learning! Start it off right with a delicious breakfast and warm welcome.

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: We're introducing a new “cutting edge” wealth accumulation predictive framework, the predictive equity analytics (PEA) for life products (annuity, insurance, group employer benefits, retirement plan). PEA enables life insurers and policyholders to avoid market downturns and capture returns from equities (stocks, ETFs and mutual funds) predicted to increase in next one to three trade days via fund prediction advisory by insurers, additionally by individual policyholders. The capability does not exist in insurance markets nor in financial intermediary markets.

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"