Description: As the retirement system has shifted to a greater focus on defined contribution plans and personal responsibility, post-reitrement risk management has grown in importance. This report covers the study of the process of retirement.

Description: This article gives an overview and explanation of behavioral finance.

Description: This article discusses the different types of attitudes toward risk based on the prevailing economic climate.

Description: Article provides an excellent summary of the importance of mathematics, computer models for determining the future for human-based financial security models, and the importance of recognizing how human behavior effects the financial security program.

Description: This article is a summary of the authors’ two other articles where they discuss pension systems and whether they do in fact distort retirement decisions.

Description: This paper focuses on when and how we retire.

Description: From the 2010 Long Term Care Think Tank Session, a summary on the activities and findings of the Committee on Post-Retirement Needs and Risks, which focuses on understanding and mechanisms to assist in the distribution phase of retirement, by developing middle market consumer profiles, managing post-retirement risks, surveys and studies.

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: Why should actuaries care about non-quantitative considerations? We are the masters of accurate calculations, and our models should be based solely upon logic … right? Wrong! The touchy-feely holistic, irrational factors encountered so often in the real world, can wreak havoc upon a model that considers only rational logic. Our 2016 presidential election was a dramatic wake-up call to statisticians and actuaries that numbers alone are not always the determining factors in economic outcomes. Learn why this is true, and how you can adapt your models to better represent the real world, and gain competitive advantage.