Description: This article summarizes key findings from an SOA research report conducted by Milliman on a wide range of living benefit riders with medically related triggers on life and annuity products. The SOA report includes a survey of direct writers, and interviews with many reinsurers. The article focuses on chronic illness accelerated benefit riders, long term care accelerated benefit riders, and the more comprehensive long term care linked benefit products that can pay out benefits that may be much higher than the underlying base plan values. Information on regulations governing these plans, mechanics of the products, sales, and pricing structures is included The intent is to enable the reader to appreciate the issues and opportunities related to these new, innovative designs that help address a range of consumer needs..

Description: This article is based on a presentation made by Ron Kleiman at the Annual Conference of the Professional Insurance Marketing Association PIMA regarding the obstacles and a solution to worksite marketing sales.

Description: This paper illustrates the calculation of embedded value of an insurance company. The principles should be applicable to similar calculations for other companies.

Description: Enhanced or impaired annuities are life annuities underwritten to reflect annuitants' actual mortality. They are not currently prevalent in the U.S. or Canada, where life annuities assume low mortality and are thus unfair for impaired lives. This paper looks at the present annuity marketplace in the United States and Canada. It also reviews the underwriting and marketing of life annuities in the United Kingdom where “enhanced” life annuities are available for a broader cross section of the marketplace. It also reviews the use of P&C risk classification techniques and how they might apply to the annuity marketplace as well as potential legal constraints on broader risk classification for life annuities.

Description: This paper presents a generalized profits released model which resolves the difficulties of the traditional analysis posed by products that have fluctuating profits and losses over time or have no initial investment. Discussions of the paper are included.

Description: This article shows how to use a RBF Neural network to predict if a breast tumor is malignant. The network is trained using a genetic algorithm that uses C# multi-threading.

Description: This predictive modeling paper, “Household Life Insurance Demand – A Multivariate Two-Part Model is one of a collection of essays that examine how existing or new methods or models can be applied to the life insurance industry.

Description: Panelists discuss new methods, ideas, and approaches to products designed to provide adequate compensation to agents under new compensation arrangements and appropriate profits for insurers, while maintaining customer values. From the 1987 Record of Society of Actuaries, Vol. 13, No. 2.

Description: Describes using the new multi-risk scenario generator to create sensitivity tests at moderately adverse probability levels, resulting in margins to use for PBR.

Description: Describes a process for identifying relevant industry experience to credibility-weight with relevant company experience to set modeling assumptions and margins.