Description: Discussion of a direct writer survey and a reinsurer survey conducted in the fall of 2002 by the Society of Actuaries. The surveys asked a number of questions about underwriting criteria needed to qualify for preferred risk. They also asked questions about the percentage of issues in each underwriting category and the mortality assumptions for the different categories.

Description: Second article in a series on how to use predictive analytics to improve the development of long-term care projection assumptions.

Description: State regulators' review of predominant LTC Risks after review of year-end AG51 reports.

Description: Today, a plethora of tools and approaches exist to develop lifetime projections of long-term care (LTC) business. Within these tools lie two distinct approaches to project mortality; namely, by using assumptions that are applied: (1) to an all-lives exposure base, or (2) separately for disabled- versus active-lives exposure bases. Using disabled versus active mortality allows for more granular modeling of the two different cohorts that exhibit dramatically different mortality. And so, when using an all-lives mortality assumption, is the projection missing important details about the appropriate mortality level? This article seeks to not only answer this question, but also answer how a “traditional” all-lives mortality assumption can be impacted when you introduce a combination of the two modeling techniques into the development of a mortality assumption. To answer these questions, we examined the experience and results developed from one c ompany as an illustrative case study.

Description: View the complete issue for the August 2014 Reinsurance News newsletter.

Description: The impact of the underlying mortality table selected as a basis for projecting mortality results

Description: Discussion of the development of a new Preneed Valuation Mortality Table

Description: Discussion of the Society of Actuaries Report on Mortality Improvement Survey from March 2003 survey from the summer of 2000

Description: Effective risk management of a portfolio demands accurate and succinct models which explain the main risk factors. We look at the various requirements we demand of a model, and find that they can all be met with an import from medical statistics: survival models.

Description: This article discusses the utilization of credibility concepts to reinsurer-cedant moratality analysis.