Predictive Analytics: A Primer for Pension Actuaries

Authors

David R. Cantor, ASA, CFA, FRM

Kailan Shang, FSA, CFA, PRM, SCJP

Description

The Society of Actuaries Aging & Retirement Strategic Research Program and Retirement Section are pleased to make available a report that introduces predictive analytics to pension actuaries.  The report was authored by David Cantor and Kailan Shang.

Report

Predictive Analytics: A Primer for Pension Actuaries

Github:

The code used in this report is available on GitHub at GitHub - Society-of-actuaries-research-institute/AR135-Predictive-Analytics-for-Retirement

Acknowledgments

The Society of Actuaries would like to thank the Project Oversight Group for their input and guidance on this report:

Gavin Benjamin
Gordon Enderle
Tariq Hussain
Yazhan Lin
Larry Pollack
Anna Rappaport
Haofeng Yu
Barbara Scott, SOA Sr. Research Administrator
Steven Siegel, SOA Sr. Research Actuary

Questions or Comments?

Give us your feedback! Take a short survey on this report. Take Survey

If you have comments or questions, please send an email to research@soa.org.