Description: Predictive models can improve the traditional actuarial assumption-setting process. Data science techniques can provide deeper insights into experience through their ability to identify key drivers, rank importance and account for interactions. The presenters will cover ways in which companies can utilize predictive analytics to set assumptions, including the various methods available and practical approaches for implementation. They will also discuss the advantages and challenges of using predictive models for setting assumptions for life, annuity and disability products.

Description: Sponsored by the SOA's Product Development Section, Financial Reporting Section, Committee on Life Insurance Research and the Canadian Institute of Actuaries, this report examines the application of credibility theory in the Canadian life insurance industry.

Description: Family structures have expanded in recent decades and so have some beneficiary forms in insurance, banking and investment accounts. This essay includes suggestions for further expansion of those little-discussed but very important forms.

Description: Data analytics is changing insurance industry and will fundamentally change how we run insurance business. Actuaries could and should be on top of it and lead the change. This practical session would provide a technical overview about GLM and describe how GLM can be applied as a business tool in life insurance. The session would also focus on case-studies across different functional areas like pricing, fraud detection, underwriting and product development.

Description: Message from the section chairperson about upcoming section sponsored events.

Description: Against the backdrop of low interest rates, rapidly expanding data analytic capabilities, and increased consumer demand for better products, many life insurers struggle to innovate their product development initiatives. RGA conducted an online survey in the third quarter of 2018, asking 30 leading life insurance companies in Japan to identify current and future product development trends. A complementary survey of approximately 4,800 policyholders of life products in Japan was also completed in 2018. The findings highlight the product trends for risk, savings and living benefit products being developed, the market segments being targeted, and how insurers are differentiating product offerings through unique features and value-added services. Companies indicated they focused new product development efforts on substandard and standard risk segments, with only 20% pursuing the preferred market. Respondents indicated the Key Performance Indicators (KPIs) being used to measure successful product development are predominantly topline – premium, face amount and number of policies.

Description: Editor summarizes what is in the current small talk issue.

Description: The article provides an introduction to some of the key limitations that the Internal Revenue Code imposes on business uses of life insurance, focusing on the limitations under Section 264(a) on business deductions for premiums and interest expenses related to life insurance, the similar limitations under Section 264(f) for unrelated interest expenses of businesses that own life insurance, the limitations under Section 101(j) on the excludability of death benefits under employer-owned life insurance contracts, and the recently-enacted rules for life settlement transactions.

Description: Global megatrends in technology are disrupting the life insurance industry.

Description: Results of a company practice survey is presented. Among the areas to be addressed include the structure of accelerated underwriting programs, how programs are monitored, how accelerated underwritten business is performing relative to expectations, and how companies are considering accelerated underwriting cohorts in the context of VM-20 assumption setting.