Description: The SOA Research Institute and LIMRA have completed the most up-to-date study of variable annuity contract owner behavior. Learn more about this vital resource for actuaries working with annuities.

Description: Learn about the innovations of life & health products and distribution in the Asia market.

Description: Reunite with members and non-members in the China actuarial community to discuss recent topics and related issues in areas such as macroeconomic sharing, IFRS 17, product strategy, cross-border communication and discussion, and more. Advance your career through learning and networking opportunities, and share your experiences in the finance and insurance industries, as well as other fields related to actuarial science.

Description: This three-part series provides an overview of the rapidly evolving and dynamic gene and cellular therapy landscape, from the clinical, historical, and risk transfer perspectives. It covers the actuarial considerations in pricing cell and gene insurance and reinsurance, the value assessment of the therapies, manufacturer pricing, and reinsurance cost.

Description: The traditional defined-benefit (DB) plan is a type of plan structured to provide the greatest degree of retirement income security, designed to pay out a guaranteed retirement income for the life of the retiree (and, when applicable, a beneficiary). However, over the last several decades, the number of private-sector employees covered under these traditional plans has decreased dramatically and been replaced by defined contribution (DC) plans. In contrast, public-sector retirement plans, which are exempt from ERISA, have seen a much smaller decline in DB plans. There are many differences in the private and public sector that likely contributed to this phenomenon, but ERISA and the many amendments to it has been a major factor.

Description: As the insurance industry continues to evolve due to a pandemic and rapidly changing economic and regulatory conditions, the role of data scientists and actuaries has become increasingly important. In an interview with the Atidot data science and actuarial team, we discuss what it is like to work at an InsurTech, how data scientists and actuaries can collaborate, and look at some concrete technical examples of where the innovation is having an impact. This article explores what collaboration can look like and how the role of data science and actuary may evolve in the InsurTech industry in the future.

Description: Writing articles is not as hard as most people think, but it does take some thought and planning. This article gives practical tips about how to put "pen to paper" and write an effective article.

Description: Starting with a review of recent VA and FIA industry policyholder behavior experience, this session will explore several critical elements in developing a sustainable and coherent framework to translate this complex experience data to assumption models, particularly for guarantee features such as GLWBs. The discussion will include the use of industry- and company-level data in building customized predictive models, and integrating models across behaviors such as income utilization and surrenders.

Description: Reinsurance has been available for VA Guarantees for over 20 years. During that time, the reinsurance market for VA Guarantees has undergone frequent and sometimes violent transformations. Where does the market stand today? What forms and structures of reinsurance are available? Which VA Guarantee designs and features are easier to reinsure? Is reinsurance offered on both newly issued policies as well as in force/legacy books, and which vintages are difficult to reinsure? In an age of sophisticated hedging programs, what role does a reinsurer play in helping a VA writer manage this highly volatile risk? In this session, we will hear from a reinsurer that is actively writing new VA Guarantee reinsurance treaties in the U.S. and around the world, and from a VA writer that has successfully partnered with a reinsurer to enhance its VA product offering.

Description: With the rapid development of the Insurance market, insurance technology—including online insurance--continues to mature. Zhongan Online invests heavily in fintechand Zhongan Answer, an insurance robo-advisor, launched in 2018, could improve transaction efficiency by using artificial intelligence to communicate in a timely manner and solve the pain point of the perplexed insurance clause. Under a different consumption scenario, Zhongan Answer could reply to users in a timely manner, while also implementing private customized products and services by providing users with personal risk management and insurance assessment solutions so that users could easily and conveniently select the most suitable insurance plan. The intelligent shopping guide system of Zhongan Answer could improve transaction efficiency by analyzing the personal insurance intention and providing the humanized interpretation of insurance clause. Zhongan Answer has served millions of users and supported more than 100,000 insurance-related knowledge points with an accuracy rate over 90%. Zhongan Answer has provided more than four million Q&A services, and its intelligent shopping guide system covers more than 90% of insurance products.