Description: This session from the 1995 Spring Meeting covers the design and development issues of 'Last to Die' policies, the applicability of reinsurance, capacity problems, and theoretical versus practical pricing considerations. From the Record of the Society of Actuaries, Vol. 21, No. 1.

Description: The Actuary Vol. 22 , No. 7. This articles explores the dangers posed by many guaranteed-return life insurance and annuity products.

Description: The last few years have seen a dramatic change in the way that insurance products are priced. If we traveled back in time 15 to 20 years, we would see a world where most insurance products were priced on the basis of a few static scenarios. In the last several years, pricing on a stochastic basis has become more mainstream—at least for contracts with embedded guarantees.

Description: This article discusses an update to a survey that focuses on how companies are trying to price for and understand the risks inherent in the products they sell.

Description: Analysis of Alzheimer’s Disease as a potential Critical Illness insurance benefit trigger.

Description: This discussion at a Smaller Company Forum is about the challenges that smaller companies face in three areas - actuarial student recruiting and training, gross premium determination, and agency building.

Description: These were discussion papers on the paper, 'The Korean War Hazard' by James T. Phillips.

Description: Summary of recent changes to IRS Section 7702 Interest Rates, and how it will impact the design of life insurance products in the future.

Description: The attached report presents the results of a survey whose purpose was to explore life insurance company practices regarding the use of a mortality improvement assumption in the pricing of life insurance products. The survey distinguished between updating base mortality tables for historical mortality improvement versus projecting mortality improvement into the future.

Description: This is an investigation of the persistance of individual life insurance risk mortality differentials by utilizing an approach inspired by online predicitve markets.