This repository will be retired and moved to the official SOA repository: https://github.com/society-of-actuaries/Predictive-Analytics-for-Retirement

pred_retirement

predictive analytics for retirement and pension

This repository contains examples of predictive analytics applied to the retirement/pension field. It is part of the research project "Predictive Analytics for Retirement" sponsored by the Society of Actuaries. The program is intended for educational purpose. Jupyter Notebooks are used to present the Python code in an interactive way with documentation.

Case Study: Relative mortality prediction at U.S. county level

Input data: /input data/mortality_data_clean.csv

Jupyter Notebook: mort_cs.ipynb

Case Study: De-risking activity prediction using Form 5500 data

Input data: /input data/derisking_clean_data.zip It needs to be unzipped to csv file first

Jupyter Notebook: derisking_cs.ipynb