Description: The abstract for the paper Pension Plan Life-Cycle Funding Approach.

Description: This paper reviews the life cycle of a typical pension plan, examines the issues relating to its funding, and proposes a new funding approach that tries to balance the various concerns. From The Future of Pension Plan Funding and Disclosure Monograph, M-RS05-1.

Description: The editor of the newsletter provides a running list of articles included in the issue highlighting such topics as the applicability genetic algorithms, the power of group dynamics, judgmental forecasting, improvement in mortality and complexity science.

Description: Provides details of the 2nd forecasting competition for the best model that predicts the Civilian Unemployment Rate 'UNRATE', measured on a monthly basis, from March-end 2012 through September-end 2012.

Description: Three simple actions to take right now at your workplace in the absence of company-sponsored learning and development programs.

Description: Read the March 2017 issue of Risk Management published by the Joint Risk Management Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: Hear from the editor’s on the March 2017 issue of Risk Management published by the JRMS.

Description: Optimization of the liabilities to minimize the required capital, enhance the enterprise risk management and maximizing the shareholder value.

Description: In this article, we will overview some popular tree-based models and understand how such models may be applied to the insurance industry.

Description: In An Introduction to Incremental Learning, by Qiang Wu and I describe how machine learning is a natural enhancement to predictive analytics through its many useful tools to derive meaning from a lot of otherwise unusable data such as handwriting. Again, there are formulas involved; but we have tried to keep them understandable to the actuary who isn’t already familiar with stochastic gradient descent, perceptrons, and principal component analysis. Incremental learning can help you refine the estimations you derive from more traditional actuarial methods.