Description: Optimization of the liabilities to minimize the required capital, enhance the enterprise risk management and maximizing the shareholder value.

Description: The author provides an overview, from a banking perspective, of Value at Risk VAR and its use as a risk management tool. This article originally appeared in the August 1997 issue of Financial Engineering News and is reprinted with permission.

Description: Discussion of how non actuaries are taking on many of the enterprise risk management roles of insurance companies. Discusses changes actuaries need to make to re-assert their roles. Also discusses roles actuaries can play in enterprise risk management outside of the insurance and pension industries

Description: This is the second article in a two-part series examining the potential value to companies of implementing a company profitability and risk dashboard.

Description: This article describes the new optional pathway to the CERA credential that includes an Fellowship-level Enterprise Risk Management exam.

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: In this paper we give new general criteria for the weak convergence of one-dimensional distributions of generalized risk processes and describe the class of possible limit laws under an infinite growth of stochastic portfolio size and stochastic intensity of insurance payment.

Description: This paper demonstrates the use of Quantile Regression in the development and understanding of conditional value at risk (VaR) models for enterprise risk management.

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: Abstract: Project portfolio risk management and risk analysis form one of the critical components of enterprise risk management. Organizations measure and analyze risks associated with projects, project portfolios, and programs. The important step of the process is quantitative risk analysis of project schedules using event chain methodology (ECM). ECM is a stochastic modeling technique for schedule risk analysis. All risks, including schedule and nonschedule-related risks, are assigned to a particular project and within this project to the particular activity or resource. Further, ECM allows one to model the relationship between project risks by defining risks that cause or trigger other risks. All risks and relationships between them will be presented on the project or portfolio Gantt charts using event chain diagrams. After risks are assigned to project and portfolio schedules, Monte Carlo simulation of the project schedule is performed. ECM simplifies complex risk analysis process.