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: The introduction and effective application of US GAAP LDTI have increased the scrutiny of those reviewing the updated financial results. That is because LDTI has resulted in significant changes in actuarial reserving and deferred acquisition cost (DAC) models for long-duration contracts, including significant changes to data, assumptions and required disclosures. In light of the changes, greater reliance has been put on companies’ model risk management (MRM) teams and model validations to assess the conceptual soundness and accuracy of their companies’ actuarial models and to assess that the underlying data and process utilized are suitable and appropriate. This article covers a brief background on model validation, walk through a sample LDTI-focused model validation framework/test plan, then provide insights on common LDTI-related validation observations based on the authors' prior validation experience.

Description: Learn from panelists from different companies as they come together to discuss their experiences.

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: "Most patients enter the health care system through their primary care provider or through the Emergency Room or an Urgent Care Center. How an emergency room is structured, managed, and provides care is one of the major forces impacting the total cost of care. Yet it is often an after-thought and ignored by both health plans and health systems. In reality, the structured introduction of efficient practices can substantially reduce the quantity and cost of health care services. Further explore useful information to better understand and see how there are still substantial opportunities for improvement."

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.