Description: An introduction to the Goals-Progress-Strategy (GPS) strategic risk management framework: an original synthesis of scenario based ERM, the Logical Framework Approach, and new metrics and methods. GPS improves strategic planning and execution and enables practical management of the risks a company faces in pursuit of its business goals. The framework provides a portfolio view of a company’s strategic objectives, a return on risk-adjusted capital measure, risk-intelligent decision making, and risk-adjusted performance measurement/compensation.

Description: This article talks about the role that models played in the subprime meltdown and the subsequent crisis in the financial markets in general. The models failed to provide information about the magnitude of potential 'black swans'. Extreme Value Theory [EVT] is described as a potential solution to this error.

Description: A comprehensive approach for risk appetite, with enterprise level limits and tolerances, a monitoring system, and cascading to the line level when appropriate.

Description: This paper provides an overview of those cognitive biases most often responsible for flawed risk assessments and provides practical techniques to mitigate them. Through a combination of mathematical rigor, case study, metaphor, and logic, the author highlights systematic errors in our thinking about risk and provides ways to avoid them.

Description: Feature article that defines strategic risk management (SRM) and discusses ways to design and optimize a company’s SRM process.

Description: The article provides an introduction to the Stock Value Approach to enterprise risk management (ERM). A clear path toward implementation of comprehensive and pragmatic ERM is shown. The framework is underpinned by a company's goals as they relate to growth of the value of the company stock price.

Description: We focus on those Strategic Risk Management (SRM) approaches which articulate challenges to strategic execution, prioritize risks to attaining objectives, drive key performance metrics, and improve the chance of success. By using these qualities as our guide, we drive SRM which resonates with the C-suite and creates risk management intelligence which drives success.

Description: In a very general setting this paper describes a straightforward, non-parametric approach to aggregate "stand-alone" or marginal distributions with desired correlations without imposing additional assumptions on those marginals. We then develop two optimizations for the enterprise, one based on maximizing return on economic capital and the other based on a mean -semivariance efficient frontier from the investor point of view.

Description: The article provides an introduction to the Stock Value Approach to enterprise risk management (ERM). A clear path toward implementation of comprehensive and pragmatic ERM is shown. The framework is underpinned by a company's goals as they relate to growth of the value of the company stock price.

Description: This paper provides an overview of those cognitive biases most often responsible for flawed risk assessments and provides practical techniques to mitigate them. Through a combination of mathematical rigor, case study, metaphor, and logic, the author highlights systematic errors in our thinking about risk and provides ways to avoid them.