Description: Some new variable and index-linked annuities offer simplified guarantees with limited downside protection; the policyholder “pays” for this protection with a limited upside. These products effectively provide policyholders access to an equity index with an option pass-through. This new direction blurs the line between more traditional variable annuity and fixed indexed annuity products. This session will discuss these and other similar product innovations, including some interesting regulatory, accounting, and risk management considerations.

Description: In recent years, the domestic insurance brokerage channel has witnessed significant breakthroughs. As a company with multi-channel development strategy, Aviva-Cofco Life also faces the challenge of channel conflicts in the rapid growth of both individual and brokerage channels. The presenter will share Aviva-Cofco's experiences, lessons learnt, gains and losses in product development in response to channel conflict, and introduce some of the practices of foreign markets for reference.

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 along with current topics. The seminar is designed for participants with moderate level experience.

Description: With freezing and termination of DB plans, there is a growing void in retirees' retirement planning that can best be solved by annuities. The presenters will discuss different ways that annuities can be used to provide retirement income in DC plans. They will also cover industry trends and the challenges of associated with adding annuities within DC plans

Description: This report documents the work of the UCT with respect to development of an algorithm used to score preferred risk class structures, producing Relative Risk Scores and Prevalences. It is built for both knockout and debit-credit scoring methodologies.

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: The last decade or more has proven that premium rate increases are necessary to maintain the integrity of most blocks of LTCi policies. Along with those rate increases, carriers have offered and regulators have approved an evolving menu of rate increase mitigation options for policyholders that do not wish to pay the increased rate. Recently, carriers and regulators have become more and more innovative in the rate increase mitigation options that they have presented to regulators. This article will discuss both the common and creative options that carriers are offering their insureds in the event of rate increases, including policy buys out, adjustments to coverage levels, and enhanced non-forfeiture options.

Description: Discussion of the selling of life insurance to the middle income market through banks and with the support of new technologies and underwriting processes.

Description: This story won the Predictive Analytics and Futurism Section prize for most novel prediction forming the basis for the narrative in the 2019 Actuarial Speculative Fiction contest.

Description: Uncertainty of a predictive model is a fact of life that many insurers could be overlooking at their peril without a framework for assessing it. The article provides a framework to understand the prediction uncertainty, which can be critical for the insurance operations using predictive models. Coin toss example explains model uncertainty and randomness inherent in making predictions to the number of heads expected. A mortality analysis case study illustrates how the Bayesian methodology can be used to develop the prediction uncertainty. In particular, the article shows that the Bayesian framework is a way to combine historical data and actuarial judgment, and directly address the model uncertainty through its posterior distribution.