Description: This discussion at the 1968 Annual Meeting covers insurance company investment issues including measurement of investment performance and models for measuring perfomance.

Description: ongoing discussion of the proper interest rate to use in discounting liability cash flows to reflect credit risk of the insurer in a fair value accounting system

Description: Discusses the recent developments with RBC requirements. At the forefront of the RBC changes is the stochastic exclusion test.

Description: This paper develops credibility using a longitudinal data framework. In a longitudinal data framework, one might encounter data from a cross-section of risk classes towns with a history of insurance claims available for each risk class. For the marginal claims distributions, we use generalized linear models, an extension of linear regression that also encompasses Weibull and Gamma regressions. Copulas are used to model the dependencies over time specifically, this paper is the first to propose using a t-copula in the context of generalized linear models. The t-copula is the copula associated with the multivariate t-distribution like univariate t-distributions, it seems especially suitable for empirical work. Moreover, we show that the t-copula gives rise to easily computable predictive distributions that we use to generate credibility predictors. Like Bayesian methods, our copula credibility prediction methods allow us to provide an entire distribution of predicted claims, not just a point prediction.

Description: Many insurers preparing market consistent financial statements encounter the issue of developing volatility assumptions for equity options and guarantees that are longer than any observable market data. This presentation develops a generalization of the classical Black Scholes option pricing model that is consistent with the European CRO Forum's framework for valuing non-hedgeable risk. The presentation argues that, with reasonable parameter choices, the model fits observed volatility surfaces well enough that it can be used to estimate implied volatilities where no market data exists.

Description: The theme of this paper relates to solving portfolio selection problems using linear programming. The authors extend the linear optimization framework for Conditional Value-at-Risk-based portfolio selection problems to optimization over a more general class of risk measure known as the class of Coherent Distortion Risk Measure. From Actuarial Research Clearing House, 2012 Vol. 1.

Description: In this paper, the author identifies two problems that are perceptible with most versions of the investment-year method of allocating investment income. The author then focuses on conceptual approaches to solving these two problems. From Transactions of Society of Actuaries 1983 Volume 35.

Description: The paper discussed the reasons for a stock company's mutualization detail the mutualization process itself consider actuarial, legal, and other problems that arise and review a recent case history.

Description: This paper proposes a combinatoric approach to express higher moments of the quadratic variation process in terms of higher order variations of the original process and autocorrelations of the original process.

Description: This article discusses how insurers that focus on their core competencies and astutely outsource other functions will become more competitive and improve their performance.