Description: These are the appendices to a report summarizing the results of a Delphi study to identify and debate possible new approaches or Blue Ocean Strategies to acquiring business by life insurers.

Description: This report summarizes the results of a Delphi study to identify and debate possible new approaches or Blue Ocean strategies to acquiring business by life insurers. Appendices are included.

Description: This report examines mortality and other actuarial assumptions for products sold at older ages.

Description: This report presents the results of a survey conducted in August and September of 2008 on foreign travel underwriting practices of direct writing companies.

Description: Consumer groups fear that the use of genetic testing information in insurance underwriting might lead to the creation of an underclass of individuals who cannot obtain insurance. Thus, these groups want to ban insurance companies from accessing genetic test results. Insurers contend that such a ban might lead to adverse selection that could threaten their financial solvency. To investigate the potential effect of adverse selection in a term life insurance market, a discrete-time, discrete-state, Markov chain is used to track the evolution of 12 closed cohorts of women, differentiated by family history of breast and ovarian cancer and age-at-issue of a 20-year annually renewable term life insurance policy. The insurance demand behavior of these women is tracked, incorporating elastic demand for insurance. During the 20-year period, women may get tested for BRCA 1/2 mutations. Each year, the insurer calculates profits/losses to date and expected future benefit payouts which determines the following year’s premium schedule. At the end of each policy year, women can change their life insurance benefit, influenced by their testing status and premium changes. Adverse selection could result from differentiated: 1. benefits following test results, 2. lapse rates according to test results, and 3. reactions to price increases. It is concluded that with realistic estimates of behavioral parameters, adverse selection should be a manageable problem for insurers. From Actuarial Research Clearing House 2004, Vol. 1.

Description: Survey for Life Insurance Utilization of Automated Underwriting systems.

Description: This report presents the results of the Survey on the Business Decision practices of direct companies conducted by the Society of Actuaries Committee on Life Insurance Mortality and Underwriting Surveys. A survey of reinsurers is reported separately.

Description: The SOA Research Institute engaged Milliman to perform a study examining life insurer practices on accelerated underwriting and how COVID-19 has impacted them. This effort included a separate outreach to actuaries working for twelve different state insurance departments. At the time of this report, three responses to our regulatory survey had been received. Therefore, the results of the three-question survey are discussed in broad terms, rather than using numerical measurements.

Description: This is a tool to model the impact of a ban of the use of genetic testing information in life insurance underwriting.

Description: This is a report that summarizes a Survey of Life Insurance Utilization of Automated Underwriting Systems. It was sponsored by the Committee on Life Insurance Research, Marketing and Distribution and Product Development Sections of the Society of Actuaries and the research was conducted by Deloitte. The report covers many aspects of how much industry interest there is for automated underwriting systems, the goals life insurers seek to accomplish in using them, how the automated systems function, and how successfully they perform.