Description: This article describes changes to financial reporting for variable annuities under US GAAP, IFRS and Statutory regulations, and implications for hedging.

Description: This paper outlines a risk measurement framework in which risk measures are derived by qualifying cash-flow-based risk measures on the state of the firm's debt capacity. This risk framework overcomes some of the weaknesses of the popular 'at-risk' framework. From 2007 Enterprise Risk Management Symposium, M-AS07-1.

Description: Research is a primary mission of the Financial Reporting Section and is the largest use of section dues. This scorecard will keep section members informed about research projects sponsored or co-sponsored by the section.

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: 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: The author recommends the use of "minimally destructive scenarios" as part of an ORSA process, in order to deal with cognitive bias that can occur in risk decision-making. Part of the essay collection "Risk Metrics for Decision Making and ORSA"

Description: Article Book Review The Future Of Risk by Calvert in The Actuary, December 1979, Volume 13, Number 10

Description: The intent of this paper is the analysis of the influence of risk that took place during winter and summer 2006 on economic results of utilities selling power to final customers. Efficient risk management requires the restructuring of the approach to company management. From 2007 Enterprise Risk Management Symposium, M-AS07-1.

Description: People naturally observe risk in the form of the range of experienced gains and losses which is usually represented in statistical terms by standard deviation. In most cases, there are not enough observed values to reliably discern the true amount of losses that are possible in extreme situations. Statistical techniques that have long been applied to insurance company risks are being used to extrapolate from observed risk to extreme tails of the distribution of gains and losses. These processes are essentially an extrapolation from the “known” risk of volatility near the mean to “unknown” risk of extreme losses. “Fat tails” is a term often applied to risks where the likely losses in rare situations significantly exceeds the predictions of a Gaussian (“thin tailed”) distribution. This paper will look at the relationship between the observed risk and the extreme risk in statistical insurance r isk models and discuss how we might create a discussion among model users about the appropriateness of that relationship for specific types of risks.

Description: This research report is on the incorporation of flood and other catastrophe model results into pricing and underwriting.