Description: A discussion of the process and results report “A Study of the Use of the Delphi Method, A Futures Research Technique for Forecasting Selected U.S. Economic Variables and Determining Rationales for Judgments.”

Description: In this article, we are going to discuss the AR model by making connections to time-dependent ordinary differential equations.

Description: Information about a social insurance modeling mini-seminar at the SOA’s 2010 Annual Meeting

Description: In Complexity: A Guided Tour, readers are given a short history lesson on the roots of dynamical systems theory, chaos and prediction.

Description: The author discusses the field of artificial intelligence, as well as some of the key definitions along with some possible applications.

Description: The Study was designed to elicit reasons behind the participants’ judgments about the future course of the four variables. In the first round participants were asked to provide judgments about the value of the four variables in 2024 and the reasons behind their judgments. The four variables were 1. Increase in CPI, 2. 10 Year Treasury Yield, 3. S&P500 Total Rate of Return, and 4.Corporate Baa yield. In addition, they were asked to list future developments that could cause historical trends in the variables to change. Finally they were asked to express their views on how the judgmental process employed in this study might influence the use and interpretation of traditional actuarial e.g., stochastic, deterministic estimation processes or to aid in planning. The data were collated between rounds and in the second Round, the responses of the group were provided to the participants.

Description: A description of how to use Deep Learning and TensorFlow

Description: The direct and indirect effects of the pandemic have impacted many actuaries’ work since the spring of 2020. This article addresses three considerations actuaries should account for when using risk evaluation models which are focused on projecting remote, highly unlikely losses: model effectiveness, asset risk, and insurance (mortality and mortality) risk.

Description: The author discusses the review of a recent 2001 Wall Street Journal’s semiannual survey of economists’ forecasts, starting by asking if there is a simple way to summarize the results and to extract a consensus forecast, and from this extraction, determine when an individual forecast is significantly different from that of the consensus.This article is reprinted with permission. It last ran in the Jan. 10, 2001 issue of The La Jolla Economics newsletter.

Description: In this article, the author discusses earthquake modeling.