AI in Asset Management: Tools, Applications, and Frontiers
Explore the book
Artificial intelligence is transforming how investment professionals analyze markets, build portfolios, and manage risk. AI in Asset Management: Tools, Applications, and Frontiers explores how AI and machine learning are redefining every aspect of the investment process. Edited by Joseph Simonian, PhD, the book brings together global experts advancing applied finance through intelligent systems and data-driven models.
Building on the Handbook of Artificial Intelligence and Big Data Applications in Investments (2023), AI in Asset Management shows how machine learning, natural language processing, and deep learning are being deployed across portfolio design, trading, risk oversight, and client engagement. Each chapter combines academic rigor with practical insights, helping professionals identify where AI adds measurable value beyond traditional quantitative methods.
AI in Asset Management: Tools, Applications and Frontiers — Full Book
Joseph Simonian, PhD, Editor
Meet the Authors
Meet the authors who contributed to the AI in Asset Management Book.
CFA Institute Member-Exclusive: AI in Asset Management Explained
Explore concise video explainers on how artificial intelligence is reshaping investment management, from theory to practice.
Explore the Chapters
Chapter 1: Unsupervised Learning I: Overview of Techniques
By Joseph Simonian, PhD
Chapter 2: Unsupervised Learning II: Network Theory
By Gueorgui S. Konstantinov, PhD, and Agathe Sadeghi, PhD
Chapter 3: Support Vector Machines
By Maxim Golts, PhD
Chapter 4: Ensemble Learning in Investment: An Overview
By Alireza Yazdani, PhD
Chapter 5: Deep Learning
By Paul Bilokon, PhD, and Joseph Simonian, PhD
Chapter 6: Reinforcement Learning and Inverse Reinforcement Learning
By Igor Halperin, PhD, Petter N. Kolm, PhD, and Gordon Ritter, PhD
Chapter 7: Natural Language Processing
By Francesco A. Fabozzi, PhD
Chapter 8: Machine Learning in Commodity Futures, Bridging Data, Theory, and Return Predictability
By Tony Guida
Chapter 9: Quantum Computing for Finance
By Oswaldo Zapata, PhD
Chapter 10: Ethical AI in Finance
By Anna Martirosyan
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