Description: This essay explores the role that the emerging defined contribution retirement system may be playing in the growth of wealth inequality in the United States. The current system leaves many Americans with little or no retirement savings. Those with higher accumulation levels appear to invest proportionally more in equities, which may have an exponential effect of balances over long time periods. The author hypothesizes that willingness to take investment risk involves the relationship between the amount an investor has accumulated and what she/he needs in order to cover basic costs of living. This is one reason that investors with greater accumulation levels may be able to earn higher rates of return. The essay concludes by suggesting that the U.S. defined contribution system should include all workers and provide additional fiduciary guidance. Examples reforms, both in the U.S. and other countries, are provided.

Description: This is the second part of a 2 part series on Real options analysis (ROA). This article looks into the limitations of using financial option theory when doing real options analysis with projects that are long-dated and uncertain, such as: 1. First-degree homogeneity, 2. Uncertainty must derive from Brownian motion, and 3. Risk neutrality.

Description: This article is part of a 2 part series on real options analysis (ROA). Before you can understand the limitations of ROA, you must first understand the difference between risk and uncertainty. This article goes into detail explaining the vast differences between the two phenomena.

Description: While the major market crash subsequent to the widespread contagion of the COVID-19 virus was readily predictable, the rapid recovery and ongoing growth subsequent to it was not. Market dynamics around the recovery resist characterization by most traditional analytical approaches. In examining the circumstances around the emergence of a large retail class of investors, one sees that ingrained human tendencies, particularly optimism bias, have fueled much investor behavior responsible for the recovery. Understanding this makes it possible to predict potential future crashes and develop behavioral interventions for subsequent market recoveries.

Description: Risk management techniques do not include system science. System science requires that the uncertainty of the world is incorporated into the results. The articles explains the difference between risk and uncertainty. Learn how risk practices create an overoptimistic view of future outcomes.

Description: The SOA Research Institute tasked the Workforce Science Institute to investigate how retirement benefit plans can affect a plan sponsor’s workforce and business results. The following is an interview with Rick Guzzo and Haig Nalbantian co-founders of the Workforce Science Institute who are the researchers on this project. The interview gives a helicopter view of the project as well as provides some “food for thought” on how retirement plans can be designed to produce an effective workforce.

Description: Risk management techniques do not include system science. System science requires that the uncertainty of the world is incorporated into the results. The articles explains the difference between risk and uncertainty. Learn how risk practices create an overoptimistic view of future outcomes.

Description: A three-minute neuroscience-based image exercise is able to accurately unlock the emotional state of individual employees, permitting prediction of a host of specific needs. Actuaries can use this quantitative information at scale to target resources, benefits, and supports to increase the objective wellness and subjective well-being of workforces.

Description: This article is a summary of the SOA Research Institute report published in April 2023 on Megatrends Impacting the Future of Retirement Plans.

Description: Traditional predictive tools are not built to deal with the variability the world currently faces. The COVID-19 pandemic amounts to a prolonged black swan event, for which one must look past conventional assessments to arrive at any level of confident predictions. Behavioral analysis factors for biases and heuristics designed specifically for uncertain evolutionary contexts, and which are the primary drivers of market participants’ decisions at present. Through understanding the most likely behaviors of individuals, it becomes possible to arrive at an aggregate understanding of market outcomes.