Understanding Investor Green Preference from their Consumption: Evidence from Transaction Data

This study delves into understanding investors' green preferences by analyzing transaction data through machine learning models. The use of real-world transaction data ensures that the insights gained truly reflect investor behavior, providing a robust foundation for financial service providers. The objective is to classify investors and offer vital information to financial services so they may create environmentally friendly investment options. It also helps legislators encourage ethical and sustainable financial practises by supporting responsible investing practises.