AI for Finance

Edward P K Tsang, AI for Finance AI for Everything series CRC Press, 2nd June 2023

LCCN: 2022055176 (print), 2022055177 (ebook)
ISBN: 9781032391205 (hardback), 9781032384436 (paperback), 9781003348474 (ebook)

Publisher (Routledge, Taylor & Francis Group): www.routledge.com/9781032384436
Amazon.co.uk: https://amzn.eu/d/hY2e6FK
Amazon.com: https://a.co/d/gAhpqh6

About the book:

Finance students and practitioners may ask: Can machines learn everything? Where could AI help me? Computing students or practitioners may ask: which of my skills may be useful to finance? Where in finance should I pay attention to? This book aims to answer these questions. No prior knowledge is expected in AI or finance by its readers.

To finance students and practitioners, this book will explain the promise of AI and its limitations. It will cover knowledge representation, modelling, simulation and machine learning. It will explain the principle 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.

This book trades depth for readability. It aims to help readers to decide whether to invest more time into the subject.

This book contains original research. For example, it explains the impact of ignoring computation in classical economics. It explains the relationship between computing and finance and points out potential misunderstandings between economists and computer scientists. It introduces Directional Change and explains how it can be used.

About the author:

Edward P K Tsang is an Emeritus Professor at the University of Essex, where he co-founded the Centre for Computational Finance and Economic Agents in 2002. He is a Visiting Professor at University of Hong Kong.

Endorsements:

• "AI for Finance is an excellent primer for experts and newcomers seeking to unlock the potential of AI. The book combines deep thinking with a bird’s eye view of the whole field - the ideal text to get inspired and apply AI. A big thank you to Edward Tsang, a pioneer of AI and quantitative finance, for making the concepts and usage of AI easily accessible to academics and practitioners."
  Dr Richard Olsen, Founder and CEO of Lykke, Co-founder of OANDA and pioneer in high-frequency finance and fintech


• "This important book is an unusually topical attempt to introduce readers to the relationship between the technical analysis of financial market prices and the automated implementation of its findings. The book will be of considerable interest to those who wish to know about this relationship in an eminently readable form: both professional financial market analysts and those considering future employment in the field."
  Professor Michael Dempster, University of Cambridge and Cambridge Systems Associates Limited


• "AI is an important part of finance today. Students who want to join the finance industry should read this book. The trained eyes will also find a lot of insights in the book. I cannot think of any other book that teaches computational finance at a beginner's level but at the same time is useful to practitioners."
  Dr Amadeo Alentorn, Head of Systematic Equities at Jupiter Asset Management


• "Without a doubt, AI symbolizes the future of finance and, in this important book, Professor Tsang provides an excellent account of its mechanics, concepts and strategies. Books featuring AI in finance are rare so practitioners and students would do well to read it to gain focus and valuable insights into this fast-evolving technology. Congratulations to Professor Tsang for providing a readable and engaging work in a complex technology that will appeal to all levels of readers!"
  Dr David Norman, Founder of TTC Institute and author


• "The use of AI/ML in the financial industry is now more than a hype. In financial institutions there are numerous active transformation programs to introduce AI/ML enabled products in areas such as risk, trading and advanced analytics. In this book, Edward, one of the early adopters of AI in finance, has provided an insightful guide for both finance practitioners and academics. I can see this book becoming a major reference in real-world applied AI in finance. Directional Change (Chapter 6) should be of particular interest to data scientists in finance, as how one collects data determines what one can reason about."
  Dr Ali Rais Shaghaghi, Lead Data Scientist at NatWest Group

Related books:

	Jun Chen & Edward P K Tsang, Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading, CRC Press, 2020 (ISBN: 9780367536282)
	Hassan Rashidi & Edward Tsang, Vehicle Scheduling in Port Automation, 1st edition, VDM-Verlag, 2010 / 2nd edition, CRC Press, 2015 / 3rd edition, CRC Press, 2022
	Alma Garcia Almanza & Edward Tsang, Evolutionary Applications for Financial Prediction: Classification Methods to Gather Patterns Using Genetic Programming, VDM-Verlag, 2011
	Edward Tsang, Foundations of Constraint Satisfaction, Academic Press, 1993

Page created and maintained by Edward Tsang; last updated 2023.04.12
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