Description: This article explores the possibility of using machine learning to improve, or potentially rewrite, actuarial code within actuarial software.

Description: Actuarial models may seem like toy-tools, yet they are not all created equal when it comes to delivering results. All models are wrong, according to George Box, yet some are useful. Dealing effectively with operational risk, undue product complexity, and the eternal search for the right answer are keys to success.

Description: In this third phase, Sibson interviewed three researchers and actuarial modelers. The objectives of the interviews were to gain perspective on the conceptual model, model alternatives, methodology, and data sources.

Description: This article walks through the process of building a cluster model using off-the-shelf software.

Description: This article is the second installment of a three-part series and is focused on providing an overview of LTC modeling approaches and considerations.

Description: Article What Actuaries Need To Know About Constructing Mortality Tables by Jones in The Actuary, February 1979, Volume 13, Number 2

Description: Commentary on practical observations resulting from constructing and running Economic Capital models. Possible standardization of assumptions and result interpretation are morphing even though use of E.C. models has now been around for years.

Description: The optional phase-in period for life principle-based reserves (PBR) has come to a close, and companies have put in the work to bring their PBR implementations across the finish line. With the mandatory PBR implementation deadline behind them, companies can turn their attention from compliance to model and process improvements. The presenters will outline lessons learned from PBR implementations and their applications to broader use cases, as well as resources that are available for PBR modelers. Discussion topics will include items such as: Model simplifications and validation Model run-time techniques Model scalability (e.g. adding new products / future assumption updates) Sensitivity testing Model projections Available PBR & other modeling resources (e.g. PBR practice note, ASOP 56)

Description: This paper focuses on graduation of mortality data and considers models that are functions of age, and duration since selection. From the Actuarial Research Clearing House 1990 Vol. 1.

Description: Interview with Ryan Krisac, director of model controls at Penn Mutual Life.