Description: An update on the Modeling section activities and a look back at the five years since inception

Description: Feature article discussing how actuaries are affected by the need for maintaining controls and the use of IT resources for meeting these needs.

Description: In this paper, the unconditional probability density functions of portfolio claim amounts based on several assumed risk distributions are found. From the Actuarial Research Clearing House 1994 Vol. 2 .

Description: The authors present a ‘theoretical basis for a computerized methodology for estimating biological age - a measure of time to death.’ The authors discuss how they reproduce the human underwriting of a life insurance company using a computerized methodology. Includes discussion and author’s review of discussion. From Transactions of Society of Actuaries 1983 Volume 35.

Description: This article introduces the reader to probabilistic methods used to model interactions in the financial market place. Three topics are specifically discussed, two concern modeling methods and the other concerns data analysis methods.

Description: This article discusses the Modeling Actuarial Standard of Practice. Intent and questions related to a model across all practice areas is discussed

Description: Feature article discussing how to do a model update.

Description: This paper examines the models underlying three of the most influential FAHP articles.

Description: Book review of Extreme Risk Management: Revolutionary Approaches to Evaluating and Measuring Risk by author Christina Ray.

Description: This paper is from Transactions of Society of Actuaries 1955 Volume 7, Number 17. The author notes that in mortality studies the ‘natural’ unit for exposures and deaths is number of lives, but often more insight is gained by use of other weights, such as face amount. In this paper, the author develops a method which, ‘by a combination of exposed to risk formulas, provides a comparatively simple procedure to permit consideration of weights which vary during the observation period.’