AI for Finance (AI for Everything)

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