Description: 1994 SOA Meeting, San Francisco. This session is about joint ventures and private labeling for life, annuity and disability products. In a primary variation of private labeling, a manufacturer develops, underwrites, administers, and does the actuarial functions, but the client company markets the product. Other variations of joint ventures have different distributions of duties.

Description: 1993 SOA Annual Meeting, New York. This session is about product design and pricing of products with bonus features. Topics included: 1. The need for maximum long-term benefits. 2. Designs that maximize long-term benefits. 3. Reasons we should focus on benefits and not cash values. 4. Principles of equity behind bonus features. 5. A practical method to define equity. 6. A summary of current regulatory activity. 7. The definition of equity. 8. The need for cash values. 9. Reasons for considering maximum limits on non-guaranteed elements. 10. Disclosure of non-guaranteed elements. 11. Reserving practices.

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: 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: Retirees will face the societal issue of inadequate savings with likely insufficient time to rectify the situation. They need immediate growth, but also the disciplines of risk management. They typically do not know how to engage with these two aspects in a harmonious manner on their own. Insurance companies are in the business of providing the solution but regulators have been clamping down in favor of simpler and more transparent products. In addition, the market reality over the last decade has been that insurers have stock betas at a multiple to the general markets with PE ratios well below. A panel of senior professionals from writers of retirement product business will present their vision of how the insurance industry can address the above dilemma, including the risks underlying the writing of the business, impact of financial markets, and regulations in the development of the business.

Description: With freezing and termination of DB plans, there is a growing void in retirees' retirement planning that can best be solved by annuities. The presenters will discuss different ways that annuities can be used to provide retirement income in DC plans. They will also cover industry trends and the challenges of associated with adding annuities within DC plans

Description: An exploration of drivers, cohorts and dynamics for policyholder behavior for VA and FIA based on industry experience data, including changes in recent years and the emergence of long-term data in key areas. We will also discuss critical elements to developing a sustainable and coherent framework to translate this complex experience data into assumption models.