Description: This monograph was presented at the 2011 Enterprise Risk Management Symposium, held March 14-16 in Chicago. The author, noting that ‘strategy is a source of risk to the firm and thus ought to be included within enterprise risk management [ERM], enterprise risk analysis and measurement of the firm’s value, proposes a detailed framework in which strategic considerations can be incorporated into a quantitative model of the firm.

Description: 2011 Enterprise Risk Management Symposium, Chicago. This is the abstract of the entitled paper.

Description: 2011 Enterprise Risk Management Symposium, Chicago. This study investigates whether simulation-based models can be used to predict liquidity risk for banks, which must comply with Basel III by January 2015. The paper looks at the process of developing a measurement framework using Black-Scholes and Merton’s asset-based models to measure liquidity risk.

Description: Presented at Living to 100 Symposium, January 2011. This paper first explores the current state and contributing causes of obesity. It then explores the mortality and health care costs of obesity. It ends with a discussion of its management.

Description: Presented at the Living to 100 Symposium, January 2011. This paper looks at issues with regard to long life and managing risk by individuals. It focuses on how structuring of payouts interacts with issues related to long life, and also discusses cash benefits and health-related benefits.

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: Increasing uncertainties and volatility in financial as well as real goods markets increasingly reveal that controlling systems based on deterministic and pseudo-exact values are insufficiently eligible to manage the business activities. This raises the question how management systems can be modified to generate the adequate management impulses in volatile periods. Risk management deals from identifying, evaluating and aggregating chances and risks, which again determine the potential fluctuation range of relevant performance indicators. Everyday corporate life shows that risk management is considered important; but the corresponding processes to identify, evaluate and report chances and risks are seldom part of established decision criteria. This “paradox” lets assume that risks are managed in various differing and unsystematic ways. The combination of traditional controlling methods and risk management is not primarily a methodological challenge. The behavior of the whole organization, practiced over a long-year period, has to be transferred into a new corporate culture of transparent dealing with chances and risks. This paper describes the necessary change management process, which has to come along with necessary methodological modifications.

Description: This paper examines the argument whether enterprise risk management (ERM) adds value to the entire firm. Using the A.M. Best property/casualty insurance business database from 2000 to 2009 for 794 US insurance companies we found evidence to support this argument.

Description: Abstract: The paper applies a back‐testing validation methodology of economic scenario generating models and introduces a new D‐statistic to evaluate the robustness of the underlying model during a specified validation period. The statistic presented here can be used to identify the optimal model by repeating calibrations with changing initial parameters. It can compare between calibration methods, be used to rank between models, and provide a single concise reporting metric for ongoing model monitoring.

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.