Stock Portfolio Optimization Using Artificial Intelligence: An AI-Driven Approach to Intelligent Stock Selection, Risk Management, and Asset Allocation
Language: English
Published by Eliva Press, 2026
- Softcover
- New

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- Title
- Stock Portfolio Optimization Using Artificial Intelligence: An AI-Driven Approach to Intelligent Stock Selection, Risk Management, and Asset Allocation
- Author
- Khaledian, Pooria; Aghaalizadeh Darandashi, Amir; Movahed, Hossein
- Publisher
- Eliva Press
- Publication year
- 2026
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 999935730X
- ISBN 13
- 9789999357302
Artificial intelligence is reshaping the landscape of modern investment management by providing advanced tools for analyzing complex financial data, predicting market patterns, managing risk, and constructing optimized stock portfolios. Stock Portfolio Optimization Using Artificial Intelligence explores the integration of artificial intelligence techniques with contemporary portfolio management principles, presenting a comprehensive perspective on how intelligent systems can support more adaptive and systematic investment decisions. This book examines the foundations of stock portfolio optimization, including return, risk, diversification, asset allocation, and traditional financial models such as Modern Portfolio Theory and multi-factor approaches. It then investigates the growing role of artificial intelligence in financial markets, focusing on machine learning, deep learning, evolutionary algorithms, and intelligent optimization methods. Through a structured conceptual framework, the book explains how AI can contribute to stock selection, return prediction, risk assessment, portfolio construction, dynamic rebalancing, and performance evaluation. Special attention is given to the challenges of intelligent investment systems, including data quality, model complexity, interpretability, uncertainty, transaction costs, and the importance of maintaining human oversight in financial decision-making. Rather than viewing artificial intelligence as a replacement for traditional financial theories, this book presents AI as a complementary decision-support mechanism that enhances analytical capabilities and enables investors to respond more effectively to changing market environments. It highlights the importance of combining technological innovation with established investment principles, investor preferences, diversification strategies, and responsible financial management. Designed for researchers, students, financial analysts, portfolio managers, and professionals interested in the future of investment management, this book provides a comprehensive understanding of how artificial intelligence can transform portfolio optimization.
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