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The monograph "Algorithmic Trading and Market Efficiency" explores the transformative role of artificial intelligence (AI) in modern financial markets. It examines how AI-powered algorithmic trading enhances market efficiency, improves liquidity, and reshapes trading strategies. The book covers key themes such as machine learning techniques in trading, high-frequency trading (HFT), risk management, ethical and regulatory challenges, and the future of AI-driven financial markets. It also delves into emerging technologies like quantum computing, decentralized finance (DeFi), and blockchain,…mehr

Produktbeschreibung
The monograph "Algorithmic Trading and Market Efficiency" explores the transformative role of artificial intelligence (AI) in modern financial markets. It examines how AI-powered algorithmic trading enhances market efficiency, improves liquidity, and reshapes trading strategies. The book covers key themes such as machine learning techniques in trading, high-frequency trading (HFT), risk management, ethical and regulatory challenges, and the future of AI-driven financial markets. It also delves into emerging technologies like quantum computing, decentralized finance (DeFi), and blockchain, offering insights into their potential impact on algorithmic trading. Through theoretical discussions, empirical evidence, and case studies, the book provides a comprehensive understanding of how AI is revolutionizing financial trading and market behavior.
Autorenporträt
Dr. Mohd Afjal is a Senior Assistant Professor at VIT Business School, VIT Vellore, India. Dr. Afjal specializes in finance, economics, financial technologies, AI-driven trading, financial stability, and the intersection of blockchain, AI, and quantum finance.