Novel Machine Learning application for Sustainable Investments using ESG Framework

Abstract

Analysis of ESG data along with financial parameters from 34 stock market indices across the globe. This work is done to study the effect of ESG score variables on the prediction of financial growth indicators for the top publicly traded companies of the world. This aims to give socially conscious investors a better view when investing in companies while looking at the broader sustainability that an organization practices while operating.