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

Description: Designing and Pricing LTCI Combination Products by Carl L. Friedrich from Long-Term Care Newsletter, December 2004, Issue No. 13.

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

Description: In 2015, LIMRA partnered with the SOA on a study that focused on examining individual LTC policy termination experience including both voluntary lapse and mortality results. This work was based on data submitted by 22 LTC carriers representing approximately 75 percent of the LTC lives inforce over the study period 2000-2011. This article discusses an area of emphasis for the policy terminations work which was to better understand the impact of data quality on reported results given the continued difficulty for insurers in accurately distinguishing voluntary lapse activity from deaths.

Description: Recently completed experience and research studies from the SOA.

Description: An article from The Actuary that highlights the strategic importance of inter-company mortality studies. Broad-based mortality studies form the backbone of the life actuarial profession. However, few companies have sufficient exposure or deaths to construct their own mortality table. Even is some large companies have enough data, there is still a vast majority of companies that do not. Historically, the void has been filled by means of inter-company studies.

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: This article gives examples of how an actuary can live by the actuarial motto of substituting facts for appearances. The specific examples given are setting the mortality for table shaved individual life business and setting late duration lapse assumptions for level term business.

Description: Originally featured as a breakout session at the 2015 CRC, this presentation discusses, from a North-American and non-actuarial perspective, how population growth and size have a major impact on socio-demographic needs in term of health care, social and old age security, education, transport and infrastructure. Their underlying components are two opposing forces, namely mortality and longevity. Understanding their past and possible future key drivers is not only important to the macro-economic planning of government agencies, but also to pension funds, insurance companies, and other stakeholders of the financial and insurance industries.

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