Description: This is the abstract of the paper Risk Classification by Fuzzy Cluster. In this paper an algorithm for risk classification is proposed. This algorithm is based on the concepts of fuzzy cluster. We test our algorithm with two examples, the results are very promising.

Description: The concept of transformed distributions is generalized in this paper. First the concepts of net premium intensity, loaded premium intensity and load generators arc introduced. Then transformed distributions are identified with premium intensity and hence the loaded premium is calculated from transformed distributions. Finally it is shown that this method of premimn calculation is arbitrage free and it incorporates the strengths of the utility approach.

Description: This article announces the awarding of fellowship credits to Gary Parker for the article he wrote, entitled “Stochastic Analysis of the Interaction Between Investment and Insurance Risks,” and provides a brief synopsis of the paper.

Description: A framework to measure and evaluate the risk-adjusted investment performance given the characteristics of the insurance liability.

Description: There have been many examples of interest rate swap deals which have not produced the desired results for the end-user, largely due to unanticipated interest rate movements. While the authors of this paper strongly believe that derivatives, such as IR swaps, are powerful tools, which when used properly can effectively transfer risk and enhance the efficiency of markets, they also believe it is critically important to analyze the potential exposure to interest-rate risk. In this article, they provide the necessary background to measure this potential exposure.