Generative AI for Trading and Asset Management

“It is no exaggeration to view the last few years as the beginning of a new epoch in technology, much of which is propelled by the enormous advances in deep learning and generative AI. Hamlet and Ernie have done the investment community a great service by providing the foundation of a very difficult but exciting subject from the practitioners’ perspective. It is not only accessible to readers with rudimentary backgrounds in AI, but also informative and inspiring for even experienced machine learning experts.”

Will Cong, The Rudd Family Professor of Management & Professor of Finance, Cornell University SC Johnson College of Business

“As a researcher in signal and image processing, I have witnessed firsthand how deep learning and generative AI have revolutionized fields like computer vision and natural language processing. This book demonstrates how these powerful tools can bring similar transformations to finance. With a clear and concise approach, it serves as a guide for a broad audience ––– whether you come from an engineering background or the financial sector ––– seeking to understand and apply generative AI in tackling financial challenges. By seamlessly translating core concepts from statistical signal processing and machine learning into finance, the authors provide intuitive explanations, solid mathematical foundations, and practical coding examples.

The result is a resource that not only bridges disciplines but also equips readers with the knowledge and tools to address real-world financial problems. Whether you are an engineer venturing into finance or a finance professional embracing AI, this book distills insights typically spread across hundreds of pages into a single, accessible volume ––– a must read for anyone looking to stay ahead in this rapidly evolving field.”

Dr. Giuseppe Valenzise, CNRS (French National Centre for Scientific Research) researcher, Université Paris-Saclay, Editor-in-Chief of EURASIP Journal on Image and Video Processing