Description: This paper presents a method for analyzing the experience of a stop-loss underwriter to develop a claim continuance table. This method is designed to deal with the limitations presented from certain limited information so as to get the most out of the available information. To the extent this approach is succesful, the credibility of the experience analysis will be maximized, thus minimizing the reliance on external data. From Actuarial Research Clearing House 1993, VOL. 3.

Description: The object of this paper is to present several aspects on the valuation of bonds which are not usually in textbooks but very important to consider in countries with inflation. The analysis of bonds must consider the economic background, the consequences of the monetary policy and the retrospective and prospective evolution of the particular index of each bond. From the Actuarial Research Clearing House 1990 Vol. 1.

Description: Shows how to use personal information such as medical history, family characteristics, etc. in a logical statistical fashion for the purpose of modifying an existing mortality table to reflect the collected underwriting information.

Description: This paper addresses a study of surplus with the following goals in mind: 1. Determine surplus available for financing additional business, including new ventures. 2. Facilitate measurement of financial performance by line of business consistent with reasonable corporate goals. 3. Provide a mechanism for evaluating alternative strategies based on their estimated marginal effect on the company's ability to meet the above corporate goal. From Actuarial Research Clearing House ARCH 1988, Vol. 3

Description: This review summarizes the key features of a stochastic model that works with non-life insurance claim incurral, accrual and reporting. More specifically it provides an overview of the claim model components, classical parameter estimators, test statistics, and forecast point estimates and error variances. From Actuarial Research Clearing House 1991, VOL. 1.

Description: Genetic algorithms [GAs] and neural networks [NNs] are currently being used in actuarial and financial modeling. Nonetheless, while there is a general awareness of the nature of these techniques, there is often only vague familiarity with the details of how they are implemented. This paper is intended to help alleviate this situation. Its purpose is to present an overview of GAs and NNs, which includes an explanation of what they are, how they work, and an example of how they are implemented.

Description: This paper stresses the importance and value of information databases. From Actuarial Research Clearing House 1993, VOL. 3.

Description: This paper eschews using general reasoning to arrive at formulas rather than using mathematical proofs. As a demonstration, the authors explore the mathematical basis supporting increasing insurances under the assumption of a uniform distribution of deaths under each year of age. Actuarial Research Clearing House 1979 VOL. 2

Description: This paper examines four and-a-half years of prescription records for an elderly population who have relatively comprehensive out-of-hospital drug coverage under the Pharmaceutical Assistance Contract for the Elderly program in Pennsylvania. The result is a discussion of the determination of non-parametric estimations of the distributions. From Actuarial Research Clearing House 1991, Vol 1.

Description: It is the purpose of this paper to demonstrate in a mathematically rigorous manner that compound interest as usually understood is uniquely given by [l+i]^t for all real t.