Description: An exploration of drivers, cohorts and dynamics for policyholder behavior for VA and FIA based on industry experience data, including changes in recent years and the emergence of long-term data in key areas. We will also discuss critical elements to developing a sustainable and coherent framework to translate this complex experience data into assumption models.

Description: Certain valuation assumptions are difficult to set with a high degree of accuracy, whether because the underlying experience is in different economic or interest rate environments, in addition to other reasons. Examples include assumptions for long-term care insurance, annuity options, lapsation and premium persistency on ULSG. This session will share how the actuary can use predictive analytics to augment the assumption-setting process. Some of the benefits to the actuary (along with the company and the regulator) include more accurate assumptions with lower margins for adverse deviations. Of possible interest as well is that applications go beyond valuation and include acquisitions, reinsurance and pricing.

Description: How can actuaries innovate solutions to the challenges posed by policyholder behavior risks?

Description: This seminar is designed to give life and annuity practitioners an in-depth view of the important topics and fundamentals of reinsurance, from the perspective of a U.S. life insurance company. Reinsurance industry experts will present on the various types of reinsurance, contract issues, financial implications and other considerations. Attendees will leave this seminar with a stronger understanding of life and annuity reinsurance, and current topics. Keep in mind this seminar is designed for participants with a moderate level of experience. Educational Objectives • Provide attendees with a stronger understanding of life and annuity reinsurance, and current topics • Give attendees an in-depth view of important topics and fundamentals of reinsurance

Description: While our ability to access and analyze large quantities of data is better than ever, many long-term products suffer from sparse data in critical risk areas, such as deep in-the-money lapse experience and long-term utilization rates for income guarantees. The presenters will explore industry-level annuity experience data for these types of situations, and discuss quantitative approaches to addressing them in pricing and other applications.

Description: Feature article discussing the current state of reinsurance for the variable annuity market.

Description: French language version of Risk Management, August 2014 newsletter.

Description: Complete issue of the August 2014 Risk Management newsletter.

Description: The insurance industry has a lot to learn from academia's missteps. With predictive analytics assuming an ever-expanding role in risk modeling, carriers would be well-served to establish practices that mitigate the creation of faulty models. Hear practical advice on how to mitigate the risks of overfitting, with a focus on how to translate complex policyholder behavior experience data for long-term products into behavioral models using company- and industry-level data.

Description: What is a "super" model? How do we develop, maintain, and visualize them? What is the difference between models and assumptions? Most importantly, how can we use all of this to quantifiably improve risk management?