Description: The presenters will dig into the little rider that most actuaries don't spend much time thinking about. A regulator, a direct writer and a consultant will discuss their thoughts on this rider and point out areas where actuaries should focus before deeming it insignificant. Topics will include the current study underway to update the industry experience study (most recently done in 1952), underwriting considerations, interactions with other riders, benefit designs, unique issues on UL policies, tax implications and reserving considerations

Description: Presented at May 2005 Spring Meeting. Panelists discuss currently available data standards, forecasts about the future uses of data standards, and standards being adopted by Information Technology departments.

Description: Papers: Does Migration Result in Mortality Improvement: A Case Study in Taiwan – Chih-Kai Chang – Feng Chia University; Jack C. Yue – National Chengchi University; Yen-Wen Chen – Feng Chia University Mortality Trends – An International Perspective – Adrian Gallop, FIA – Government Actuaries Department

Description: While our ability to access and analyze large quantities of data is better than ever, many long-term products suffer from sparse data in critical risk areas, such as deep in-the-money lapse experience and long-term utilization rates for income guarantees. The presenters will explore industry-level annuity experience data for these types of situations, and discuss quantitative approaches to addressing them in pricing and other applications.

Description: The hybrid Life/LTC and Life / Chronic Illness market is an exciting market that is in its relative infancy. There are many new companies that have just entered, or are considering entering, the hybrid market. Hybrid sales have grown tremendously over the past decade and are still going strong, with annual premium revenue estimated to be above $4 billion per year. The young issue ages for these products, relative to when LTC benefits are paid, means that the claim experience in the industry for these products is still very limited. Additionally, there are many moving parts to these products that present correlated risks and assumptions. The new entrants to the market, limited experience, and the interactions of risks create an environment equipped for vibrant discussions on the product structure, risks, assumptions, and considerations for modeling these hybrid products. The presenters would provide insight into each of these topics through a conceptual discussion, supported by observational data from case study projections and sensitivities.

Description: In this session, attendees will learn to model historical mortality rates and to forecast their possible future scenarios, using a freely available and well-tested toolkit written in open source R. The core of the toolkit is implemented in the R package StMoMo (https://CRAN.R-project.org/package=StMoMo) and enables a practitioner to derive best estimate and measurements of uncertainty using academically robust demographic and actuarial mortality projection models.