Description: An ongoing discussion of the theoretically correct discount rate for valuing insurance liabilities: whether or not the credit rating of the insurer should affect the discount rate used. See related articles including the article “On the Fair Value of Insurance Liabilities: The Regulator’s Option” in the December, 2005 issue of The Financial Reporter.

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: Discusses the Canadian Institute of Actuaries report on whether the normal retirement age in Canadian social security programs and private programs should be increased and possible impacts.

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

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: From the 1985 Valuation Actuary Symposium A perspective on the role of the valuation actuary and how it has and will change in the USA, Canada, and the UK.

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: The comments of DxCG about their participation in the SOA study A Comparative Analysis of Claims-Based Tools for Health Risk Assessment.

Description: Random sum models with compound distributions are used extensively in modeling of insurance risks. Unfortunately, the compound distributions themselves are awkward to evaluate. Consequently, various numerical and analytical approximative techniques have been used. In this talk we derive various upper and lower bounds on the tails of compound distributions. Some notions in reliability theory are used.

Description: Discussion rebutting the Dec. 2004 issue of The Financial Reporter article titled, “On the Fair Value of Insurance Liabilities,” authored by Don Solow. That article expressed disagreement with the position of the International Accounting Standards Board and the Financial Accounting Standards Board to reflect the value of “own credit risk” in the fair valuation of insurance liabilities.