Work on economic problems and solutions with tools from machine learning. ML has taken time to move into the space of academic economics. This is because empiri

This study seeks to construct a basic reinforcement learning-based AI-macroeconomic simulator. We use a deep RL (DRL) approach (DDPG) in an RBC macroeconomic mo

The book titled "Prediction of Stock Market Index Movements with Machine Learning" focuses on the performance of machine learning methods in forecasting the fut

This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational discipli

Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensi