Description: The speaker will discuss the training of neural networks to compute future Greeks of liabilities (or options) without the use of nested stochastics.

Description: This 1978 session dealt with Group ASO and Minimum Premium Plans. Topics covered: 1. Reasons for using Administrative Services Only plans. 2. Problems with ASO plans 3. Questions to address when considering ASO plans 4. Legal issues

Description: Regulatory change and increased focus on internal risk management are driving a renewed interest in model efficiency. In this session, we will review several new and existing tools, that show significant promise for advanced modeling of equity linked products. These include: • Clustering • Use of unique--and potentially a different number of--scenarios for each policy • Semi Monte Carlo (SMC) – this is a proprietary technique that is similar to a combination of Monte Carlo and numeric integration • Using a neural network approach to optimize some of the more complex and manual aspects of clustering and improve the fit of the clustered model • Combining SMC with the use of unique scenarios per policy

Description: Learn industry best practices including challenges faced by retirees, such as needing exposure to growth, most exposed to sequencing risk, and the need for smooth returns to avoid poor investor behavior caused by risk aversion. Other topics will include how to set investment objectives which consider the members’ real-world needs and how to build portfolios and implement risk management strategies to meet those objectives. The speaker will provide real-life examples/case studies.

Description: Mr. Zhao stressed that the CBRC adhered to the national principles of risk-oriented, problem-oriented, and openness-oriented, and remained fully mobilized and united to the benefit of the insurance industry. The CBRC overcame the difficulties of the epidemic and pushed forward the C-ROSS Phase II project.

Description: A panel of actuaries and clinical consultants at this session of the SOA 2003 Vancouver Spring Meeting provides an assessment of current and future applications of predictive modeling techniques in the health arena. A practical example of risk adjustment, discussion of the clinical use of this technique, and applications in underwriting are discussed.