Description: Current DC plans do an extremely poor job at managing investment and longevity risk for plan participants. This leads to suboptimal outcomes: retirement income is potentially too low, assets are subject to catastrophic losses and may even run out. Insurance solutions—most notably annuities—address some of these issues, but are expensive and not very much liked by consumers. This paper explores how Enhanced Risk Sharing Savings Accounts (“ERiSSA”), consisting of a combination of individual DC accounts with a collective risk sharing and return redistribution mechanism coupled with deferred annuities, might be able to strike a better overall balance for consumers.

Description: Discussion on how retirement programs have changed, or not, since the Retirement 20/20 initiative in 2010. We ecourage retirement actuaries to comment.

Description: Editorial and issue introduction

Description: This article delves into a new line of statistical thinking of the author, that may be useful for product development actuaries. The key concept is how product design can produce products that diversify quickly, meaning that the company can be confident of a profitable product line, based on fewer sales than might be true for other designs.

Description: SOA Product Development Section Contest Winning Article. Contest was to provide a creative article on future technology for the life insurance industry.

Description: In this session, panelists will lift the curtain on the main features of investment grade (IG) private placement bonds and below investment grade (BIG) private debt and compare them with available public bond and bank loan alternatives. The panel will examine the motivations for insurance companies and pension funds to invest in private debt and the legal, diligence and operational requirements to maintain a private debt portfolio. We will also conduct a 2017 private placement market review and look forward to 2018’s likely new USD and non-USD issuance and which industry sectors are likely to issue. This session will also cover their risk and reward characteristics, and the structural intricacies of the various IG and BIG debt types and whether there is sufficient compensation for illiquidity and other risks.

Description: This article is the first installment of a three-part series and is focused on providing an overview of LTC modeling approaches and considerations.

Description: This article presents a case study that examines the implication of using real-world interest rate scenario generators with a block of fixed deferred annuities. We contrast cash flow testing results based on New York 7 deterministic scenarios to stochastic scenarios generated with the Academy Interest Rate Generator , as well as an alternative economic scenario generator designed explicitly to capture the risk of a persistently low interest rate environment and the transition to a rising interest rate environment.

Description: This paper discusses the Total Career Benchmark Model, consistent with Retirement 20/20 principles, focuses on reconstructing and maintaining a consistent and reasonable sharing of risks and rewards amongst the four stakeholders: Individuals, Society, Employers and the Markets. Modern technology provides the necessary tools. A series of benchmarks are used for tax limits, target pensions, accrual to date etc. The self adjusting, consistent benchmarks under the TCB Model, means that all stakeholders speak the same language. Individuals and Employers can easily compare what they have to what they need – and more importantly can see how to accrue what is needed. An individual’s ability to tax shelter income over a career is not dependent on the design of any employer pension plan. All funds allocated to an individual remain the individual’s and are not used to subsidize another person – except for the inherent risk sharing of an annuity – by hidden transfers of value.

Description: The science of behavioral economics explains shifts in social actions and behaviors. Behavioral economics studies how people actually behave in given circumstances—not what they did in the past or say they might do in the future, but how they are likely to behave now. It examines rational and irrational thought as well as unconscious motivations to arrive at a more nuanced understanding of consumer behavior. Could the insurance industry utilize behavioral economics as a way to potentially increase consumer desire to buy life insurance?