1st Edition
Artificial Intelligence in Economic and Financial Analysis Machine Learning for Forecasting, Modelling and Decision-Making
1. Introduction to Artificial Intelligence and Machine Learning in Economics and Finance 2. Foundations of AI and Machine Learning for Economic and Financial Decision-Making 3. Artificial Intelligence and Machine Learning in Economic Theory: Causality versus Prediction in Economic Analysis 4. The Influence of AI and Machine Learning on Finance Theories 5. The Role of AI and Machine Learning in Predictive Modelling for Economic Indicators 6. Artificial Intelligence and Machine Learning for Resource Allocation in Economics 7. Artificial Intelligence and Machine Learning-Powered Labour Market Analytics 8. Artificial Intelligence and Machine Learning in Economic Policy Analysis 9. The Use of Artificial Intelligence and Machine Learning in Insurance 10. Revolutionising Finance, Analysing the Impact of Machine Learning and AI in Algorithmic Trading 11. Credit Scoring Using Statistical Machine Learning 12. The Role of Artificial Intelligence and Machine Learning in Fraud Detection and Prevention in Finance 13. Natural Language Processing and Sentiment Analysis in Economics and Finance 14. Explainable AI in Economic and Financial Applications 15. Ethical Considerations of Machine Learning and AI in Economics and Finance 16. Artificial Intelligence and the Transformation of Economics and Finance
Biography
David Mhlanga is an Extraordinary Professor in the Department of Financial Governance, College of Accounting Sciences, University of Johannesburg, South Africa.
