Description: 2011 Enterprise Risk Management Symposium, Chicago. This paper starts by defining and discussing the nature of risk and its primary relationship to capital preservation. The paper then continues with a guide for implementing a company’s risk appetite statement for a variable annuity product.

Description: 1999 SOA Annual Meeting, San Francisco. Presenters, each offering a different perspective, discuss a case study involving a successful bancassurance program focusing on: 1. Targeted customer segments. 2. Insurance products involved. 3. Distribution channels utilized. 4. Selling/underwriting/issue processes. 5. Refinements to the initial offering. 6. Key success factors. 7. Sales results.

Description: This session will provide an overview of the evolution of equity-based guarantees (e.g. VA, FIA, etc.) over the last few years and discuss the current lay of the land as it relates to the regulatory, issues, capital markets (e.g. Department of Labor, Dodd-Frank) environment in which these products are offered.

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: 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: The NAIC has adopted revised VM-21 and AG43 for variable annuities, effective Jan. 1, 2020. The panel of presenters will provide background and an overview of the revisions, discuss detailed aspects of the new CTE Amount Standard Projection and prescribed assumptions, as well as discuss implementation considerations and the implications to hedging. In addition, the panelists will share progress on VM-23, principle-based reserves for non-variable annuities.

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: In this session, a company will share its experience on managing risks underlying the equity-linked insurance guarantees and what lessons were learned over these years as it adapted its strategies to suit the current market environment.

Description: The speaker will share his insights into the hedging challenges faced by FIA and VA business in the current market environment.

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