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: Introduction to essays advocating for incentive compensation linked to the level of risk in an organization.

Description: This paper introduces a re-rating formula which calculates proposed rates directly by means of fully developed and trended loss costs and current class differentials. From 2007 Enterprise Risk Management Symposium, M-AS07-1.

Description: Research report describing the results of an Emerging Risks Survey conducted in 2016. The report, the tenth in a series, includes comparisons to the previous surveys.

Description: COVID19 highlights the need for greater complexity expertise in risk management. Crisis like the current COVID19 pandemic and 2008 Financial meltdown and others help us to turn into focus inwards for introspection on how we can better manage our resources and provide a deeper understanding of what our objectives should be and how we can achieve them through applying complexity science.

Description: Companies are exposed to a variety of risks related to the development and implementation of their business strategy. There is an extensive amount of literature about enterprise risk management (ERM), yet it is still possible to find a new opportunity to analyze how different kinds of risk information can be objectively considered by senior management to enhance corporate governance and strengthen sound decision-making processes. Strategy formulation is the main part of the strategic planning process. A robust ERM framework must provide relevant risk information for decision-makers so as to reduce the possibility of selecting a mistaken strategy or overlooking an important one. Most common strategic planning tools do not even take risk into account, which worsens the situation. Subsequently, it is time to identify and measure strategic risks. They can leverage, hinder or prevent the fulfillment of the strategic objectives. Risk management may also support the development of institutional actions so as to increase the likelihood of reaching expected results. Furthermore, strategic risks should be monitored through key risk indicators to allow the identification of conditions that could lead to a risk event. This paper aims to introduce a new comprehensive model that integrates risk management into strategic planning. A number of risk tools, improvements to be made by risk managers and a practical application of the model are presented to make possible the establishment and deployment of an effective strategy by the organization.

Description: Here are a few topics to be discussed in this article: Risk is opportunity; Strategic and business risks are not captured in models; Incentive compensation should not be paid too soon; Enterprise risk management is board responsibility, ERM is compliance.

Description: The National Association of Insurance Commissioners (NAIC) is moving forward to implement a new regulatory requirement that requires U.S. insurers to perform an Own Risk and Solvency Assessment (ORSA). Before developing a response to the ORSA requirement, insurers will want to understand its genesis and the underlying rationale for it, as well as its implications. This essay provides an overview of the evolution and rationale for ORSA, as well as practical implications for insurers as they begin to design an ORSA process. Part of the essay collection "Risk Metrics for Decision Making and ORSA"

Description: Abstract: A model for analyzing the probability and severity of default of sovereign entities and banks. The methodology analyzes the risks inherent in the investment of debt of sovereign governments and large financial institutions side-by-side, taking into consideration macroeconomic interactions among the sovereign fiscal and monetary authorities, the financial institutions, and the real economy. The signature aspect of the methodology is that it adapts a Merton-style default model to use explicit measures of sovereign assets and asset volatility.

Description: he co-editors introduce themselves and preview the articles in this issue.