Description: Discusses key issues to improve the retirement system in the U.S. in a primarily defined contribution environment. Focuses on age at retirement, how people retire, and covering risks including disability and longevity risk. Some ideas are feasible within current environment and some require policy change.

Description: Longevity insurance benefits are deferred annuities that begin payment at advanced older ages, such as at age 82. With a longevity insurance benefit, the problem of asset decumulation with uncertain life expectancy is simplified. Instead of planning for an uncertain period, retirees can plan for the fixed period from the date of their retirement to the date at which they start receiving the longevity insurance benefit. Originally, Social Security was structured as a longevity insurance benefit program, with roughly 50 percent of those entering the workforce surviving to receive the benefits. Over time, however, as life expectancy has improved, Social Security benefits have slowly transformed into benefits that most people entering the work force ultimately receive. While adding longevity insurance as a new benefit when Social Security is already facing a financing deficit would be problematic, reintroduction of a longevity insurance benefit a s part of Social Security reform package that involved benefit cuts could be an important policy innovation.

Description: Summary of the CPRNR 2015 Risk Survey and Focus Groups

Description: The asset portfolios of retirees’ serve many purposes including current income, liquidity, purchasing power, estate, tax minimization, and so on. Multiple objectives with different levels of importance lead to a complex asset allocation problem for retirees. Existing asset allocation methods normally focus on a subset of the multiple objectives of retirees in an approximate way. The simulation-based multiple objective asset allocation method objectively assesses each allocation plan against multiple objectives in a consistent way and provides a more holistic picture of possible outcomes. This information is critical for finding the optimal allocation plan. The optimization is based on the weighted performance relative to multiple objectives. At the same time, it requires more inputs and advanced modeling.

Description: Hear from the chairperson on themes in the May 2017 Pension Section News published by the Pension Section.

Description: Update on the activities of the Retirement Plans Experience Committee

Description: 4 ways my preconceived notions about pension actuarial work were challenged during my tenure on the PSC.

Description: The artcle looks at the most important features necessary to conduct a meaningful quantitative analysis. The article also discusses how predictive analytics should be used as a tactic to anwer question and not an end in of itself.

Description: This article sheds light on the various ways machine learning can uncover patterns within data to add unique value and insights to businesses.