Description: As our industry rapidly adopts more advanced technologies, today's actuaries have more data and greater analytical capabilities than ever before. Nevertheless, these advancements come with their own set of challenges.Come explore the tools and techniques to optimize your processes and avoid common pitfalls so that you can get the most out of your experience studies.

Description: The rapid and persistent rise in rates has increased many insurer's concerns around liquidity, disintermediation, and overall ALM risk management. Learn an overview of ALM, including the goals and reasons for performing it, common approaches, and real-world examples of common pit falls and mistakes that have been made in the industry. Explore the differences in approaches, and the pros and cons of these various approaches.Learn about the importance of understanding the ALM approach, with clearly defined strategic objectives. Additionally,discover an understanding of the value to both managing risk and optimizing enterprise value. Come away with a deep appreciation for the value that a well-constructed ALM program can bring to valuation/capital planning/asset adequacy testing/pricing (life and annuity).

Description: Equity-Based Insurance Guarantee Webcast Series

Description: Examine how investment portfolios have been changing over recent years with a panel of industry experts from the life insurance industry, and learn what lies ahead. This will be a highly practical session, with real-life case studies referenced as much as possible.

Description: This report focuses on the risks of change in the insurance industry and adapting to the "New" New Normal. It includes survey results, analysis, and discussions on various risks affecting the industry in the current environment.

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: Internal modernization initiatives and external changes of the financial reporting regulations (e.g., LDTI, IFRS 17) increase the amount of validation activities for actuarial models. In addition, the use of predictive analytics in actuarial modeling requires a different set of validation skillsets/techniques in model validation. These internal and external forces call for a structured, streamlined and robust model validation practice.