Description: This article discusses how risk management was a central element in the conduct of monetary policy in the United States as espoused by then Fed Chairman Alan Greenspan .

Description: This article talks about partnering with other risk professionals and the importance of research into the nature of risk and the responses to risk events.

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 collection of essays written on the current financial crisis, lessons learned and future implications.

Description: This is the first of a two-part article introducing and elaborating an “Adaptor” strategy for ERM. Such a strategy is intended to fulfil two purposes: first, switching among four styles of risk-coping strategies in order to track qualitative changes in a business’s risk environment; and, second, to support the business in navigating with resilience through all the seasons of a business-economic cycle, i.e., of boom, bust, moderate, uncertain. This latter requires careful study of the nature of resilience, the familiar idea of bounce back, and the less familiar idea of bounce forward. Part I of our article is underpinned therefore by a supplementary document (available from https://riskviews.wordpress.com/adaptor-exceptionalism/), which addresses the issue of structural change in a business or economy. It draws heavily on ideas taken from the discipline of control engineering, as well as some from ecology, social anthropology, and economics. The entire two-part article is thus an exercise in cross-disciplinary Systems Thinking.

Description: This article addresses the difficulties of risk modeling in a poor economic environment. The problems include imperfect vendors of data, facing events that have never occurred before, unpredictable consumer behavior, conflicting data sources, and AAA credit doesn't always mean AAA.

Description: Editors discuss the articles in this issue.

Description: This article describes risk modeling and how to build a risk intelligence system.

Description: The CAS is pleased to present its Research Paper, “Users’ Guide to Economic Scenario Generation in Property-Casualty Insurance”. Although there are cases in the literature about the use of economic scenario generators (ESGs) in the property casualty industry, they are far more commonly used for life insurance companies. Our hope is that this paper will serve as a comprehensive guide to the implementation of ESGs in the non-life space and spark interest in research into new applications of ESGs.