Description: Excerpts from Yee's presentation on the S-Curve reserve for Universal life. The S-Curve represents a distribution of amount of assets needed under 550 scenarios which, together with future premiums, will fund all future policy benefits and expenses. The reserve is a specific point on the Curve.

Description: Using data from a large insurance company, we construct a parametric model for the joint survival function based on a Hougaard copula function.

Description: We present a method to calculate the percentile of the distribution of the present value of the death benefit for a continuous deferred whole life Insurance.

Description: In a recent Society of Actuaries' regional meeting, there was a discussion on an age-old actuarial problem. Within the same company, should the return on equity ROE target vary by profit center depending upon the risk of the profit center? For example, should company management demand a different ROE from the Group Health line than from the Ordinary Life line?

Description: This paper represents an attempt to formulate a cohesive and consistent approach to the analysis of claim liabilities. Numerical examples are used to illustrate the methodology. From the Actuarial Research Clearing House ARCH 1990 Vol. 1.

Description: The analytical laws of mortality such as Gompertz and Makeham are often used by actuaries to describe the survival distributions. Numerical approaches to evaluate features such as mean and variance of these distributions may be very difficult not to mention the characteristics of their life contingent functions.

Description: This paper uses a hypothetical game to illustrate issues facing the life insurance industry, specifically distribution costs.

Description: This is the abstract for a paper of Immunization Measures for Life Contingencies.

Description: This note is motivated by Section 7.4 of Actuarial Mathematics. Consider two different fully-discrete policies issued to x, each for a unit of life insurance during the first h years. Here, h is less than or equal to the shorter of the two premium-payment periods.

Description: This article investigates the properties of the Gompertz distribution function. Explicit formulas for continuous life insurances and annuities are given in terms of the left-truncated gamma function. Moreover, approximations for the mean, variance, skewness and kurtosis of the Gompertz distribution are also given. Finally, the article shows that using a Gompertz assumption at fractional ages produces better a approximation than the usual UDD assumption.