AI for Finance

AI for Finance

by Edward K. Tsang
Released June 2023
Publisher(s): CRC Press
ISBN: 9781000878578

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Book description

Moving well beyond simply speeding up computation, this book tackles AI for Finance from a range of perspectives including business, technology, research, and students. Covering aspects like algorithms, big data, and machine learning, this book answers these and many other questions.

Table of contents

  1. Cover
  2. Endorsements
  3. Half-Title
  4. Series
  5. Title
  6. Copyright
  7. CONTENTS
  8. Dedication
  9. Acknowledgements
  10. Preface
  11. Introduction
  12. 1 AI–Finance Synergy
    1. 1.1 Speed Matters
    2. 1.2 The Race Is on Seeking, Not Running
    3. 1.3 Pattern Recognition
    4. 1.4 Data Mining
    5. 1.5 Forecasting
    6. 1.6 Concluding Summary: Synergy between AI and Finance
    7. Notes
  13. 2 Machine Learning Knows No Boundaries?
    1. 2.1 AlphaGo: The Success
    2. 2.2 General AI: The Rose Garden
    3. 2.3 Complication: The Reality
    4. 2.4 Combinatorial Explosion, the Curse of Computation
    5. 2.5 A Missing Ingredient in Classical Economics
    6. 2.6 Neither Can Live While the Other Survives
    7. 2.7 Summary: Powerful but not Magical
    8. Notes
  14. 3 Machine Learning in Finance
    1. 3.1 Machine Learning for Forecasting
    2. 3.2 Supervised Learning
    3. 3.3 Know Your Data
    4. 3.4 A Glimpse of Game Theory
    5. 3.5 “Unsupervised Learning” for Bargaining
    6. 3.6 Summary: Machine Learning Is a Game Changer
    7. Note
  15. 4 Modelling, Simulation and Machine Learning
    1. 4.1 Modelling
    2. 4.2 Modelling: Imperfect but Useful
    3. 4.3 Simulation: Beyond Mathematical Analysis
    4. 4.4 Case Study: Risk Analysis
    5. 4.5 Adding Machine Learning to Modelling and Simulation
    6. 4.6 Mechanism Design
    7. 4.7 Conclusion: Model–Simulate–Learn, a Powerful Combination
    8. Notes
  16. 5 Portfolio Optimization
    1. 5.1 Maximizing Profit, Minimizing Risk
    2. 5.2 The Markowitz Model for Portfolio Optimization
    3. 5.3 Constrained Optimization
    4. 5.4 Two-Objective Optimization
    5. 5.5 The Reality Is Much More Complex
    6. 5.6 Economics vs Computer Science
    7. 5.7 Summary
    8. Notes
  17. 6 Financial Data: Beyond Time Series
    1. 6.1 What Is Time Exactly?
    2. 6.2 Event-Based Time Representation
    3. 6.3 Measuring Market Volatility under DC
    4. 6.4 Two Eyes Are Better Than One
    5. 6.5 Striking Discoveries under DC
    6. 6.6 Research in DC
    7. 6.7 Conclusion: New Representation, New Frontier
    8. Notes
  18. 7 Over the Horizon
    1. 7.1 Algorithmic Trading Drones
    2. 7.2 High-Frequency Finance
    3. 7.3 Blockchain
    4. 7.4 Information Extraction from News
    5. 7.5 Finance as a Hard Science
    6. Notes
  19. Bibliographical Remarks
  20. Bibliography
  21. Index

Product information

  • Title: AI for Finance
  • Author(s): Edward K. Tsang
  • Release date: June 2023
  • Publisher(s): CRC Press
  • ISBN: 9781000878578