We explore the paper “Dynamic Return Dependencies Across Industries: A Machine Learning Approach”, by David Rapach, Jack Strauss, Jun Tu and Guofu Zhou, and then try to improve the results with more sophisticated machine learning approaches.
Originally Published at Alpha Architect:
By Druce Vertes
June 5, 2018
Tags: Research Insights, Machine Learning