Artificial Intelligence in Economic and Financial Analysis: Machine Learning for Forecasting, Modelling Decision-Making

Offering both theoretical and practical perspectives, this book adopts an interdisciplinary, analytical approach that combines insights from economics, finance, and data science to examine how artificial intelligence (AI) and machine learning (ML) are increasingly used in economic and financial analysis. Artificial Intelligence in Economic and Financial Analysis: Machine Learning for Forecasting, Modelling and Decision-Making examines the growing role of artificial intelligence (AI) and machine learning (ML) in transforming economics and finance in increasingly digital, data-driven global economies. The book explores how intelligent technologies are reshaping forecasting, modelling, financial analysis, and decision-making through predictive analytics, automation, and computational intelligence. It provides a comprehensive discussion of the theoretical foundations of AI and ML before examining their applications across macroeconomic forecasting, labour market analytics, algorithmic trading, insurance analytics, fraud detection, credit scoring, and natural language processing. The book further analyses how AI-driven systems are influencing financial services, economic policy analysis, digital finance, and intelligent governance while also addressing ethical and regulatory concerns relating to transparency, explainability, cybersecurity, accountability, and algorithmic bias. In addition, emerging developments such as generative AI, autonomous systems, and intelligent financial technologies are discussed to provide insight into the future of economics and finance. Designed for academics, researchers, postgraduate students, policymakers, and industry professionals, this book offers both theoretical and practical perspectives on how AI and ML are reshaping economic and financial systems in the Fourth Industrial Revolution.