AI for Finance

by Edward P. K. Tsang

Finance students and practitioners may can machines learn everything? Could AI help me? Computing students or practitioners may which of my skills could contribute to finance? Where in finance should I pay attention? This book aims to answer these questions. No prior knowledge is expected in AI or finance. Including original research, the book explains the impact of ignoring computation in classical economics; examines the relationship between computing and finance and points out potential misunderstandings between economists and computer scientists; and introduces Directional Change and explains how this can be used. To finance students and practitioners, this book will explain the promise of AI, as well as its limitations. It will cover knowledge representation, modelling, simulation and machine learning, explaining the principles of how they work. To computing students and practitioners, this book will introduce the financial applications in which AI has made an impact. This includes algorithmic trading, forecasting, risk analysis portfolio optimization and other less well-known areas in finance. Trading depth for readability, AI for Finance will help readers decide whether to invest more time into the subject.

106 pages, Hardcover

Published June 2, 2023

Reviews

[Kilosho Mike Kamwana · Rating 5 out of 5]

It a nice and short introduction to AI in finance. It introduced a lot of interesting concepts that I would like to explore more in detail like Directional Change, Markowitz Model, and Algorithmic Trading with AI.

[Ali Shahed · Rating 4 out of 5]

Hi

[P Manny · Rating 5 out of 5]

Very good, very interesting. AI is a powerful tool when it comes to economics, finances and trade. I am looking forward to adapt strategies for my own company.