Description: The Potential Impact of Pandemic Influenza on the U.S. Life Insurance Industry pandemic model tool. This tool is used to project a Life Insurance companies potential losses from an influenza pandemic. Please see the SOA website for complete instructions on how to use this excel spreadsheet tool. Also see the website for the complete research report: www.soa.org/research/research-projects/life-insurance/research-impact-pan-influ-life-ins.aspx. The core of the paper is quantifying the potential impact of selected pandemic scenarios on the Life Insurance industry.

Description: The attached report presents the results of a survey whose purpose was to explore the various uses of technology by life insurance companies. The survey was conducted by the Technology Survey Subcommittee of the Society of Actuaries Life Insurance Mortality and Underwriting Survey Committee. The primary focus of this survey was the impact of technology on mortality studies and underwriting.

Description: Learn more about the predictive modeling that was applied to industry data for the lapse and mortality experience in the post-level term period. Novel approaches were taken to model the shock lapse, subsequent lapse, and mortality experience. Observe a demonstration of the Tableau tool, which was built to allow users to analyze data on their own.

Description: This section presents book reviews and summaries of recent publications on a variety of topics.

Description: Session 176: The Future of Medical Records in Underwriting

Description: This paper explores how molecular biology, specifically epigenetics, may impact the life insurance industry, and considers the effects of utilizing epigenetic biomarkers for underwriting.

Description: Big data and predictive models have disrupted the life insurance new business and underwriting processes over the past few years. How did we get here? What does the future hold? This session will review the lessons learned from the evolutionary process and discuss what the potential next steps are in this journey. Are real time fully underwritten decisions an achievable goal?

Description: We're introducing a new “cutting edge” wealth accumulation predictive framework, the predictive equity analytics (PEA) for life products (annuity, insurance, group employer benefits, retirement plan). PEA enables life insurers and policyholders to avoid market downturns and capture returns from equities (stocks, ETFs and mutual funds) predicted to increase in next one to three trade days via fund prediction advisory by insurers, additionally by individual policyholders. The capability does not exist in insurance markets nor in financial intermediary markets.

Description: Gain insights into the expanding scope of fluidless underwriting and conversation around why this is not yet the new normal for traditional life insurance business. A panel representing reinsurance, direct company, actuarial, and underwriting perspectives will discuss current developments in fluidless underwriting and downstream considerations for mortality outcomes. The panel will address such topics as: - High-level observations from newer underwriting tools and processes - Regulatory considerations for adopting new underwriting tools and processes, - Pitfalls in assuming business as usual when adopting new underwriting tools and processes, and - Considerations when determining the mortality impact of new underwriting tools and processes. By attending the session, you will: - Identify recent trends and outcomes from fluidless underwriting programs and why it is not yet the norm. - Recognize the different regulatory considerations for newer underwriting tools and processes. - Appreciate the nuances between established underwriting practices and expectations for new underwriting processes. - Understand drivers of mortality outcomes and considerations when quantifying changes to underwriting.

Description: This is a 4 part discussion about issues affecting small companies: 1. Marketing, 2. Electronic Data Processing, 3. Forecasting and control of operating results, and 4. Income and Expense Allocation. From Transactions of Society of Actuaries 1964, Vol. 16 Pt. 2