Description: This article summarizes a series of surveys that explore how the public perceives retirement risks and manages related financial resources. It also provides examples of conflicting perceptions and behavior related to retirement and how retirees manage assets in retirement.

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: This document presents the detailed results of a literature search performed during December 2009 - February 2010 to find resources for the report Complexity Science – An Introduction and Invitation for Actuaries.

Description: This article presents highlights from a Roundtable Discussion held at the 2008 Annual Conference of the National Academy of Social Insurance - NASI. Some issues discussed are the results of the SOA 2007 Survey on the Risks and Process of Retirement, the phases of retirement and the changes during retirement as a function of changing health and capability, age, changing family status and employment status.

Description: Learn more about improving the modelling of individual decisions.

Description: Learn more about improving the modelling of individual decisions. This paper explains the concepts of hyperbolic discounting and provides a tool for improving the modelling of individual decisions.

Description: Recently completed experience and research studies from the SOA.

Description: This document provides answers to the exercises in the report titled Complexity Science – an introduction and invitation for actuaries:.

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.