Description: This article analyzes, understands, and discusses the impact of the upcoming Principle-Based Reserving (PBR) on non-variable deferred annuities.

Description: Actuaries can leverage cluster modeling to reduce model runtime and cloud compute costs, which can be a real concern as companies transition from an on-premise grid to a scalable cloud solution. We consider practical considerations associated with clustering, through both US statutory and US GAAP lenses. Lastly, the results from a variable annuity liability clustering case study are presented.

Description: In the United States, there has been much industry discussion of the challenges associated with a sustained low interest rate environment, which impacts both the asset and liability sides of the balance sheet in unfavorable ways. The intent of this article is not to focus on these strategic issues. Rather, we attempt to shine a spotlight on some of the modeling challenges that practicing actuaries may experience when incorporating negative interest rates into their models.

Description: This report explains the concept and construction of the Market Consistent Embedded Value (MCEV) measure, as well as its usefulness as a profit/risk measure relative to other profit/risk measures currently used by insurance companies for various products. The knowledge from this research will assist actuaries, corporate leadaers, risk management professionals and others in understanding, implementing and comparing MCEV to current risk assessment tools utilized by insurance companies.

Description: Explores the applications and techniques of model governance, focusing on benefits such as model literacy, efficiency, and confidence.

Description: Cluster modeling is emerging as a powerful technique to manage cloud costs and run time. It also enables quick responses to "what if" scenarios, and aids in attributing results between reporting cycles. In this webcast, we provide insight into cluster modeling, present case studies that focus on various key performance indicators and discuss the benefits and challenges to cluster modeling from an insurer’s perspective. We also discuss the considerations associated with moving from an on-prem based computing solution to a cloud-based approach.