A groundbreaking, authoritative introduction to how machine learning can be applied to asset pricing Investors in financial markets are faced with an abundance

An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensi

Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to be

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