Description: This article describes the financial modelers’ manifesto. Focus is on how difficult it is to model financial instruments when there is a human element involved.

Description: This article discusses the reliance the banking industry placed on sophisticated mathematical models.

Description: This article talks about cash flow testing, a frequently used type of asset adequacy analysis required by the revisions to the Standard Value Law SVL. It describes how cash flow testing can be used to look at reserve adequacy in different interest rate environments or evaluate problems with certain assets.

Description: This article discusses value at risk, VaR, and VaR modeling of the bank's portfolios that would recognize diversity and hedging. This article also covers the differences between classical VaR and the longer horizons required by the insurance industry and the feasibility of extending VaR to the insurance industry.

Description: The author summaries several reports from the IBM Symposium on operations research techniques and their future outlook 1968.

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: Article from The Actuary, December 1972 – volume 6 - Issue 10 provides a recap of The Society's Committee on Research and the Department of Statistics of the University of Waterloo jointly sponsored seventh annual Research Conferences. The topic, Time Series Analysis, covered the more recent advances in statistical analysis of time series, particularly in economic data.

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: An overview of bias and fairness in machine learning models, as they apply to use cases in life insurance.

Description: Overview of the session “Analytics You Should Know, but Don’t” which took place at the 2007 SOA Annual Meeting in which R, an open source language for statistical computing, was discussed.