Description: This article is part of a 2 part series on real options analysis (ROA). Before you can understand the limitations of ROA, you must first understand the difference between risk and uncertainty. This article goes into detail explaining the vast differences between the two phenomena.

Description: This article will highlight the issue that the sum of key-rate metrics does not add to metrics derived by parallel shift to the entire curve, even at very low shift size. Additionally, in the article I will outline how to define a single rate change to be applied to a key rate (or the entire curve) since the rate changes are generally not level or parallel.

Description: This paper uses stochastic simulation technology to present a risk metric for defined benefit pension plans that provides improved measures of the plan's solvency and provides a tool for pension plan managers to determine the value of risk mitigation activities. From 2006 Enterprise Risk Management Symposium, M-AS06-1.

Description: This study presents a new framework which can measure integrated marked risk and credit risk for portfolios consisting of various assets through continuous time horizons. In a simulation, the study shows that asset type, initial rating, time horizon and asset return distribution assumptions are all significant factors to influence the portfolio value distributions and hence the integrated VaRs. From 2007 Enterprise Risk Management Symposium, M-AS07-1.

Description: The article is devoted to risk management in the business process of materials supply for industrial enterprises. The goals of the business process are considered, and the risks of the failure to achieve goals are identified. Probabilities and influence of negative events are estimated. The risk treatment is considered on critical risks, including forming of insurance supplies of materials. The calculations of insurance supplies of materials, taking into account risks, are conducted on the basis of statistical information.

Description: We demonstrate an integrated enterprise risk management (ERM) solution to optimize the risk portfolio, identify natural hedges, create an optimal risk treatment plan, enhance risk culture, and facilitate risk reporting throughout the organization.

Description: Abstract: 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: The paper o ers a simple framework for ranking the common reinsurance struc- tures in practice with the theory of stochastic orders. The basic idea is to slice the space of reinsurance structures into groups by expected loss cost to facilitate the comparisons within the group and between groups. Given the standard risk aversion assumption in economics, a spectrum of reinsurance structures with the same expected loss cost can be compared analytically with one another and sequenced based on their risk coverages under the convex order. The paper then expands the dimension of the comparison to groups of reinsurance structures with di erent expected loss costs, which can be ranked under the increasing convex order and the usual stochastic order. As such, the paper maps out the ordering for the entire space of reinsurance structures and presents it in a ma- trix format for quick reference. The implication of this stochastic ordering to reinsurance pricing is also investigated.

Description: For the purposes of risk management and stress testing, we characterize a spectrum of plausible extreme events, that we dub Grey Swans, by introducing a probabilistic method involving the concentration of measure phenomenon. As a result, stress tests can be triaged according to severity, probability and, now, information-based plausibility.

Description: Review of stochastic, modeled geo-spatial risk metrics for insurance loss concentration and clustering and their counter point use for diversification