Description: The author describes how his company was able to benefit from an application of risk theory.

Description: In our rapidly changing world, it is becoming hopeless to try to arrive at a satisfying description of future conditions, even in the short run. Yet prices for new life insurance must somehow reflect one’s view of events even in the far distant future. futurism

Description: This article poses the question, why doesn't the teaching of life contingencies start with the premise that the rate of investment income is a random process in a similar manner to the random nature of the time until death? The article suggests some methods for doing so.

Description: Article Disparate Origins Of Life And Non-Life Insurances by Beard in The Actuary, February 1979, Volume 13, Number 2

Description: This article is the first in a series of articles on insurance applicant mortality risk analytics. From Small Talk Newsletter, Issue 37, January 2012.

Description: This article is the final installment of our three-part series on economic scenario generators (“ESGs”). Part I and II were published in the November 2019 and August 2020 issues of The Modeling Platform. Part III contextualizes the framework for selecting, building, and validating ESGs and focuses on the Academy Interest Rate Generator (“AIRG”), the most commonly used real-world ESG for US actuaries

Description: This paper uses a mortality surge model to estimate the total financial impact on the U.S. insurance industry of a flu pandemic. It does not attempt to determine the probability of such a pandemic.

Description: The analytical laws of mortality such as Gompertz and Makeham are often used by actuaries to describe the survival distributions. Numerical approaches to evaluate features such as mean and variance of these distributions may be very difficult not to mention the characteristics of their life contingent functions.

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.