Description: This session from the 1984 SOA Atlanta Meeting reviews individual annuities, specifically IRA sales by insurance companies, separate account options, the brokerage market, bail-out options, SPDA's and accounting issues.

Description: This session at the SOA 1990 San Francisco Regional Meeting is about annuity product development and includes an overview of variable annuity products, fixed product designs, and marketing and distribution issues.

Description: 1998 SOA Spring Meeting, Maui. Panelists discussed recent product development, tax law changes, and increased competition in the annuity market, and some consequences for reinsurers and annuity writers.

Description: Presented at October 1986 Annual Meeting. Discusses background, product design, NAIC model regulations, New York legislation and regulations, investment considerations, financial reporting, and provides a Canadian overview of MVA products.

Description: Panelists at this session at the SOA 1998 Maui I Spring Meeting discuss recent compensation developments and trends in the financial services industry.

Description: 1997 Valuation Actuary Symposium, Session 21 looks at advanced topics in annuity modeling.

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: In the insurance industry, machine learning models are increasingly used to make decisions that affect people's lives. In order to ensure that models are fair, they should be audited for bias. There are no hard and fast rules for bias audit; metrics that can be used to evaluate fairness vary depending on the context in which the model is deployed. In this session, we present a flexible framework that highlights key considerations in bias evaluation that can be adjusted to suit your process. In this session, we will learn about different metrics to assess fairness, discuss open source tools that can be used for bias audit, and walk through a case study.