Description: In this paper, we introduce a family of leptokurtic symmetric distributions represented by the difference of two gamma variates. Properties of this family are discussed. The Laplace, sums of Laplace and normal distributions all arise as special cases of this family. We propose a two-step method for fitting data to this family. We develop a statistical test for goodness-of-fit and introduce a test of normality of the data. A simulation study is provided to illustrate the theory.

Description: This paper takes the position that it is possible to compute annual pension costs without computing liabilities first, or at all, even implicitly. Moreover, such an approach can be shown to have powerful advantages in stochastic financial environments. From Current Pension Actuarial Practice in Light of Financial Economics Symposium, M-RS04-1.

Description: This paper will consider aspects of inflation as it affects the operations of the life insurance industry and the policyholder, and will review some of the approaches used, primarily by European companies, to meet the situation. Discussions of this paper are included.

Description: This session is about financial rating systems: The processes, performance, improvement, and the role and impact of risk-based capital requirements.

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: There have been continual advances in the modeling of financial series but most are aimed at the pricing of derivatives. Different criteria are needed for development of scenarios for risk management. Some recent methods will be reviewed with an eye on risk-management applications, including using the simulated method of moments to parameterize multifactor models, fractional differencing and other methods to model series with persistent autocorrelation, and models to flatten out the volatility smile, such as jump-diffusion models. These methods will be illustrated with applications to inflation, interest rates, equity prices and exchange rates.