Description: Actuarial literature in the twenty-five years includes discussions of a well known inequality. Among the recent papers on various aspects of this classic result are those by Berin 1970, Olson 1975 and Sarason 1960. A standard method for achieving this inequality uses Jensen's inequality. This is the method used by Bowers, et al 1983. We will also employ this method in an attempt to learn about it.

Description: This note is labeled actuarial because it deals extensively with the force of interest, a concept which is characteristically of concern to the actuarial community. The authors’ personal point of view is that we should modify the basic definition of the compound interest.

Description: The yield rate is that effective rate of interest at which the present value of his expenditures is equal to the present value of his returns. This paper encourages students of Theory of Interest class to try to approach yield rate problems by starting with the definition of yield found in Steve Kellison's text.

Description: While we agree with the conclusions expressed by Silver and Hedges The Classical Definition of Compound Interest is Adequate by Murray Silver and Bob Hedges, ARCH 1981.2, we do not believe the theorem follows from the stated Axiom. We present an alternative proof which uses only the accumulation function and not the force of interest.

Description: The paper gives two criteria for fit and uses two different criteria to transform an initial graduation into one with better fit. It is shown that the two sets of criteria give the same transformation. The mathematical relationships between the two sets of criteria are then derived. It is clear from those relationships that when one set of criteria is small, the other set is small [but reasonably the same]. Some general comments on various measures of fit are made.

Description: In this note, we rearrange the statement and the proof of a theorem in Greville. The presentation appears to be more compact the materials, however, are not new.].

Description: American actuaries are increasingly involved in risk management. This paper presents an Overview of the role of the American actuary in risk management today, a book review of a remarkable new work by a philosopher of science, and a challenge to the reader.

Description: Two breakout sessions were held. Their goal was to explore ways in which researchers and practitioners could be brought closer together. The following summaries were edited by Stuart Klugman from notes taken by the indicated participants: Session #1 - Bridging the gap with regard to modality and morbidity and Session #2 - Bridging the gap with regard to financial modeling.

Description: During the last decade, a vast activity had been observed in generalizing of the classical discrete distributions. The main idea was to apply the extended versions fur modeling different kinds of dependent count or frequency data structure in various fields. In the present paper we suggest extensions of the classical univariate geometric, negative binomial, Poisson, Bernoulli, binomial and logarithmic series distributions, by including an additional parameter. It has a natural interpretation in terms of zero-inflation, and because of this we named the corresponding generalized versions adding inflated-parameter.

Description: Non-consequentiality is quite consequential for the claims made for the applicability of Risk Theory RT to decision problems that are not transparently tactical or wholly instrumental. On the negative side, RT is not normative or even a complete heuristic in such contexts. The author takes strong exception to the common tendencies, A to link risk theory with welfarism and versions of utilitarianism, and B to claim that with or without but especially with such linkage RT is normative in both moral and rational analysis, choice and action.