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: Panelists report on the status of activities by national associations in regard to risk-based capital requirements for health insurers. From the Record of the Society of Actuaries, Vol. 24, No. 2.

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

Description: Risk governance is an important part of any risk management process, yet the insurance industry has not implemented the procedures and controls as extensively as banking. This session looks at the elements of risk governance and discusses their importance to the risk management process. Specific emphasis is placed on risk management organizational structures and how different organizational structures may facilitate effective risk management processes. Insurance and banking practices are contrasted. From the Record of the Society of Actuaries 2005, Volume 31, No. 1: 2005 New Orleans Life Spring Meeting, May 22-24, 2005, Session 83 OF.

Description: Describes a process for identifying relevant industry experience to credibility-weight with relevant company experience to set modeling assumptions and margins.

Description: Describes a process for identifying relevant industry experience to credibility-weight with relevant company experience to set modeling assumptions and margins.

Description: Enterprise risk management ERM is for the measurement and the management of all significant risks of the business holistically irrespective of types and sources. The study offers significant advances in the current debate on the performance of enterprise risk management, in particular, minimizing the existing gap between the academic understanding and practitioners’ experience on the topic.

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

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