Description: The purpose of this report is to start an informed debate on the issues surrounding the treatment of diversification in the solvency assessment of insurers. The members of the Chief Risk Officer Forum herein suggest a framework for how diversification should be treated within a prudential regulatory framework.

Description: This article provides an update, as of September 2019, on the Reinsurance Section’s sponsored research in process and studies recently completed.

Description: This paper introduces the symbolic valuation, a stochastic valuation which allows flexible interest rate and cash flow assumptions, and provides an illustration which values a simple SPDA product. From Actuarial Research Clearing House 1992, Vol. 1.

Description: Article explores why many integrated delivery systems are struggling and what actions they need to take to succeed.

Description: This article provides a brief overview of the current state of machine learning (ML) and artificial intelligence (AI) as they apply to actuarial science, including discussion around the integration of actuarial judgment with ML and AI. It concludes with an example of explainable ML through a python tool known as SHAP (SHapley Additive exPlanations), which is able to explain the key drivers behind individual ML or AI predictions.

Description: 1993 SOA Meeting, Quebec. This session is about implementing new technology, choosing between competing technology, problems to watch out for, unexpected benefits, migrating from mainframe to client/server, automating the field force and large-scale networks.

Description: The SOA's Competency Framework for Actuaries is a tool to help actuaries make decisions related to their individual professional development and career management plans. It applies systematic, sound approaches to selecting professional development opportunities, focusing on the skills needed to go beyond technical and specific actuarial analysis. This is an Excel file that facilitates that process by providing a personal planning workbook.

Description: This paper investigates the accuracy of loss reserves by comparing some reserves with the actual results five years hence. The ultimate purpose was to provide an estimate of the amount of variability which cannot be explained by listed factors. The resulting amount of variability gives an indication of the amount required for a provision for adverse deviation. From Actuarial Research Clearing House 1991, VOL. 1

Description: Summary of upcoming seminar, scheduled for August 14-15, 2017.

Description: This report documents the work of the UCT with respect to development of an algorithm used to score preferred risk class structures, producing Relative Risk Scores and Prevalences. It is built for both knockout and debit-credit scoring methodologies.