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: The editors preview the articles in the February 2010 issue of Health Watch.

Description: What is a "super" model? How do we develop, maintain, and visualize them? What is the difference between models and assumptions? Most importantly, how can we use all of this to quantifiably improve risk management?

Description: Historical and actuarial perspectives on the coronavirus events of 2020.

Description: This article provides an overview of the commonly used structural credit risk modeling approach that is less familiar to the actuarial community.

Description: Actuarial models have always been an important tool for helping companies project future results and understand risks. As complex models have started to become critical components of the reporting and compliance processes, however, models have vaulted to new levels of importance—and of scrutiny. This has raised everyone’s interest in the management of models, and by implication, in their ability to control the inherent model risk. From Small Talk Newsletter, Issue 37, January 2012.

Description: This article lays conceptual foundations associated with projecting investment-related discretionary elements of various life insurance and annuity products. It outlines potential implementation approaches that may be appropriate when calculations are performed in a risk-neutral setting. The article concludes that crediting rates in risk-neutral models can be projected as in real-world models, except that the modeled provision for expected credit losses should be modified to equal real-world expected losses initially, but over the projection reflect management’s evolving expectation, moving ultimately to risk neutral expected losses.

Description: This article discusses how complex models can provide a false sense of security, hiding the evidence that the entire range of indications may hinge on one or two key assumptions.

Description: Overview of the issue.

Description: This paper proposes using a classic actuarial framework of frequency and severity, modified to address the unique challenge of XPL.