Description: The US and EU are each pursuing modernization of their regulatory frameworks. The purpose of this paper is to provide a discussion of the emerging developments, the historical contexts or drivers of each, and potential implications for insurers. The paper discusses some of the global, wider financial services, and insurance specific activities underway that are influencing solvency developments for life insurers. It provides an overview of the differences in the current US and EU regimes and the regulatory changes underway. The paper then identifies key valuation implications, the impact on pricing and product design, and risk management implications.

Description: In this, the second step, Sibson engaged the vendor and actuarial communities to solicit input on the actuarial model for determining the impact of various environmental, lifestyle and behavioral risk factors. The goal was to understand the extent to which actuaries currently use models around wellness, refine the above conceptual model, and better understand the potential uses of, and value to, the actuarial and vendor communities that would use such a model. We sought to understand the potential applications and sources of data for the actuarial model. We gathered input on how the model would best suit the professional needs and help shape the future role of the actuary. Lastly, we gathered feedback on the above conceptual model.

Description: This research report analyzes the risk associated with the use of models through the potential for model error.

Description: 2015 Risks and Process of Retirement Survey – Key Findings and Issues

Description: This report presents a framework that could be used by employers and employees to assess defined contribution retirement plan benefits.

Description: The SOA’s Committee on Life Insurance Company Expenses (CLICE) has submitted its recommendation for the 2017 Generally Recognized Expense Table (GRET)

Description: An introduction to the field of Complexity Science. The report includes an overview of the field’s key results, detailed instructions for building Complexity Science models, examples of working models, review of practical models applicable to the work of actuaries, a literature review, and a discussion on how actuaries can apply Complexity Science in their work.

Description: This study used commercial data held by the Health Care Cost Institute (HCCI) and Medicare fee-for-service data to analyze health care cost differences by age and their contribution to overall health care cost change. The commercial data includes claims from 2002 through 2010 and the Medicare data includes claims from 2006 through 2010.

Description: This predictive modeling for life insurers paper by a Deloitte research team is one of a collection of essays that examine how existing or new methods or models can be applied to the life insurance industry.