Description: In this paper a method is described for pricing - and reserving for- return of premium benefits under disability income policies. Followed by a discussion paper

Description: This paper by John Mereu describes a method for mathematically computing the expected loss under a group life contract in excess of a stated limit. The paper also shows how to compute the variance and standard deviation of the stop-loss claim and suggests how the method can be extended to group insurance benefits where the claim amount per certificate is not fixed. Paper is followed by discussions from several people

Description: This paper explores the principles upon which experience-rated group insurance currently is based and discusses the question of whether or not these principles are sound. Followed by discussion papers submitted by several authors

Description: The actuarial profession is faced with a problem of determining delta-ized reserves on a basis which will include appropriate provision for adverse deviations in mortality, lapses, interest rates, and expense rates. This paper describes briefly a method which could be used to solve this Followed by papers submitted by 2 authors problem in a flexible manner.

Description: The primary purpose of this paper is to present an alternative method of determining the profitability of the premium for a return of premium benefit through the use of a limited simulation program. Also discussed are necessary reserves for a return of premium benefit. From Transactions of Society of Actuaries 1973, Vol. 25, Pt. 1, No. 73.

Description: In Gary Venter's paper on Credibility in Foundations Of Casualty Actuarial Science, he suggeted that estimating the variance of the estimated least squares credibility Z would help provide an understanding of the accuracy of the calculation. This paper examines this suggestion. From Actuarial Research Clearing House 1994, VOL. 1.

Description: This paper presents a method involving re-sampling 'with replacement but without random numbers', numerical convolutions for sums and quotients, and estimation of confidence intervals for trend in average size claim. In this paper, this method is applied to major medical claims.

Description: Six methods are presented for calculating the probability of ultimate ruin where the waiting times between claims are independent and identically distributed. Three of the six use Monte Carlo techniques. From Actuarial Research Clearing House 1993, VOL. 1

Description: This paper describes a method to determine confidence intervals for trend involving resampling - with replacement but without random numbers - of numerical convolutions for sums and quotients, and the estimating of confidence intervals for trend in average size major medical claims.