Description: The panel discusses: 1. How fund transfers may affect expense recoveries through fee revenue 2.How transfers between fixed and variable funds may impact required capital 3. Product design features that affect the risk profile of the product and 4. Modeling considerations to quantify the policyholder behavior risk. From session 113PD of the 2001 Toronto Spring Meeting.

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