Description: Gross Domestic Product (GDP) has been our chosen metric for growth since the Great Depression, but expectations are for lower GDP growth going forward than we are accustomed to. Its two components, population and productivity, face headwinds—population from a declining birth rate and longevity, and productivity from increased climate events, energy costs, global conflict and raw materials shortages. Comparing demographic results from the U.S., China and Nigeria, representing countries with varying population growth rates, illustrates the potential economic growth issues of aging populations and high dependency ratios. The demographic challenges can be turned into opportunities to broaden prosperity; productivity can be improved by providing a level playing field and helping those in the lowest socioeconomic classes find opportunities. These topics and more will be discussed and enhance foresight about them.

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: "Most patients enter the health care system through their primary care provider or through the Emergency Room or an Urgent Care Center. How an emergency room is structured, managed, and provides care is one of the major forces impacting the total cost of care. Yet it is often an after-thought and ignored by both health plans and health systems. In reality, the structured introduction of efficient practices can substantially reduce the quantity and cost of health care services. Further explore useful information to better understand and see how there are still substantial opportunities for improvement."

Description: After more than a decade of a prolonged low interest rate environment, long-term Treasury rates have started to increase with higher volatility. While it is generally agreed that a modest increase in interest rates and inflation is beneficial to the life insurance industry, interest rate risk remains a significant challenge for life insurance industry to manage its long duration liabilities, especially under volatile interest rate environments. Learn how to proactively manage interest rate risk and improve capital efficiency through the cash flow based strategic asset allocation (SAA) framework. Discover practical examples of how to combine asset allocation with derivatives to manage tail risk and liability convexity.

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

Description: This paper examines how incentives created by management structures and performance measurement systems affect a corporation’s risk management decisions.

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 describes risk modeling and how to build a risk intelligence system.