Description: The Health Section Research Team is pleased to make available the following research study and Excel model that provide a framework for estimating the financial impact of health plan provider network risk. The research was conducted by the Denver office of Milliman, Inc. The Excel workbook allows the user to assess cost implications of aspects of network risk under various assumptions. The assumptions in the workbook can be altered by the user and be applied to test a range of scenarios.

Description: Scale BB was introduced in March 2012 as an interim mortality improvement scale which may be used by pension actuaries until work on a formal successor to the widely used improvement scale, Scale AA, is complete.

Description: Research report describing the results of an Emerging Risks Survey conducted in 2015. The report includes comparisons to the previous surveys.

Description: This paper fits a logistic model to the actual data of cumulative cases from the 2003 SARS outbreak. The model proves a good fit for the four areas examined: China [mainland], Canada, Hong Kong and Singapore. Explanatory variables are then incorporated to link the model parameters to economic and demographic indices of areas hit heavily by SARS. The work enables prediction of the future behavior of SARS or other epidemics should they ever strike again.

Description: This presentation provided an analysis of investment guarantees in equity-linked products. There was an overview of the data and models in use. In addition an actuarial approach to left-tail analysis was presented as well as a dynamic hedging approach. From Actuarial Research Clearing House, 2012, Vol. 1.

Description: This paper will show how the NAIC formula and others can be allocated by line of business by the use of partial derivatives of RBC.

Description: These are the specifications for monetary tables based on 1958 CSO and CET mortality tables. Formulas using commutation functions for reserves and cash values are given. Originally published in 1961 and updated in 1976 due to advances in computer technology.

Description: The American Academy of Actuaries and the Society of Actuaries have joined resources to maintain this Economic Scenario Generators Excel Workbook tool for use in regulatory reserve and capital calculations. Please see the SOA website research pages for further information on this tool and how to use it.

Description: This report describes two methods, an observation-based analysis and an actual to model analysis, to analyze long-term care insurance experience to determine if calendar year trends exist.

Description: The Canadian Institute of Actuaries and Society of Actuaries Committee on Life Insurance Research, the Product Development Section and the Financial Reporting Section, sponsored this study investigating how the Canadian life insurance industry is utilizing predictive modelling.