Description: The Individual Life Experience Committee is holding a competition encouraging actuaries and other interested parties to predict 2017 industry mortality based on a data set containg 2009 - 2016 data. The competition is not only about predicting mortality, but also about explaining and presenting the results.

Description: This article contains best practices on actuarial modeling based on the author's personal experiences and provides useful advice for actuaries to consider in their daily work.

Description: From a session at the 2000 Valuation Actuary Symposium held in Washington DC, September 14-15, 2000 In this session, panelists discussed how they have leveraged cash-flow testing to: • Influence investment decisions • Analyze risks • Expand Cash flow testing models to meet management requirements • Provide relevant information to regulators and rating agencies Panelists discussed the enhancements required to meet these needs and provide guidance on communication of results to a nontechnical audience.

Description: Report on the topics and speakers at the Actuarial Research Conference and Social Security Benefits, held August 31 through September 2, 1978.

Description: Actuaries are Known as highly ethical. Data Science poses ethical challenges for our profession.

Description: From a session at the 2001 Valuation Actuary Symposium, held in Lake Buena Vista, Florida, November 29-30, 2001 Teaching session covering the development of realistic liability models for use in asset adequacy analysis, asset/liability management, pricing/repricing, financial reporting or other corporate purposes. The primary focus is modeling issues for variable product features, such as minimum living or death benefit guarantees on both variable life and annuities, annuity death benefit enhancements, and variable immediate annuities. Topics include: • Analysis of the special risks posed by these products • Selecting realistic dynamic assumptions • Techniques used in modeling these products • Scenario testing and result presentation to best communicate risks

Description: Modeling Approaches and Challenges focuses on approaches to real world simulation and the challenges and considerations in real world simulation. Topics include: A frequency domain approach to build realistic multi-horizon scenarios. (Ortec approach) Cascade models structure linking models for major asset classes and economic variables. (Moody’s approach) Overview of models, calibrations & approaches within the context of different use cases. Deterministic & stochastic approaches. Importance of model re-calibration flexibility. We will also discuss specific insights into considerations and challenges in real world simulation, which include topics like: Setting capital market assumptions and/or calibration targets. Assumptions about correlation and causality. Calibrating the model to capital markets assumptions. Validating the model against capital market assumptions. Role of history, market data and stylized facts. Importance of back testing. Calibrating the model to multiple investment horizons. Inclusion of alterative asset classes such as private equity, infrastructure, and direct real estate. Associated issues of limited data, illiquidity and greater uncertainty about calibration targets.

Description: Article describing content and key takeaways from experience completing the SOA PA Certificate

Description: A brief discussion on the importance of governance and documentation being in place. The article provides some resources to assist in the development, and the reasons behind having it in place.