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Synopsis
AI reshapes the landscape of financial markets, introducing new levels of efficiency, accuracy, and strategic insight. From algorithmic trading and fraud detection to credit scoring and risk assessment, AI technologies analyze financial data in real time, uncover patterns, and make predictions previously unattainable through traditional methods. Machine learning models continuously improve their performance as they process more data, enabling institutions to refine investment strategies and respond to market changes. Natural language processing (NLP) allows AI systems to analyze news sentiment, social media trends, and financial reports, offering contextual understanding. As AI evolves, it enhances decision-making and operational efficiency in the financial sector, while raising critical issues related to transparency, regulation, and the ethical use of autonomous systems in economic environments. Artificial Intelligence Applications in Financial Markets explores how AI technologies transform financial analysis and decision-making in emerging markets. It examines the integration of advanced AI algorithms, such as deep learning, sentiment analysis, and hybrid predictive models, with financial market applications. This book covers topics such as digital technology, financial investment, and sustainable development, and is a useful resource for business owners, computer engineers, academicians, researchers, and scientists.
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About the Author
Afef Amdouni is an Assistant Professor of Finance in the Department of Finance, College of Business Administration, Taibah University, Medina, Saudi Arabia. Her research interests focus on financial markets, artificial intelligence applications in finance, behavioral finance, and financial risk modeling. Prior to joining Taibah University, she was affiliated with the Faculty of Economic Sciences and Management at the University of Tunis El Manar, Tunisia. Dr. Amdouni earned her Ph.D. in Finance from the same institution, where she also completed her Master’s and Bachelor’s degrees. She is actively engaged in academic publishing and peer review activities and has held leadership roles in coordinating editorial initiatives related to interdisciplinary research at the intersection of finance and artificial intelligence.
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Paperback. Condition: new. Paperback. AI reshapes the landscape of financial markets, introducing new levels of efficiency, accuracy, and strategic insight. From algorithmic trading and fraud detection to credit scoring and risk assessment, AI technologies analyze financial data in real time, uncover patterns, and make predictions previously unattainable through traditional methods. Machine learning models continuously improve their performance as they process more data, enabling institutions to refine investment strategies and respond to market changes. Natural language processing (NLP) allows AI systems to analyze news sentiment, social media trends, and financial reports, offering contextual understanding. As AI evolves, it enhances decision-making and operational efficiency in the financial sector, while raising critical issues related to transparency, regulation, and the ethical use of autonomous systems in economic environments. Artificial Intelligence Applications in Financial Markets explores how AI technologies transform financial analysis and decision-making in emerging markets. It examines the integration of advanced AI algorithms, such as deep learning, sentiment analysis, and hybrid predictive models, with financial market applications. This book covers topics such as digital technology, financial investment, and sustainable development, and is a useful resource for business owners, computer engineers, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798337350332
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Artificial Intelligence Applications in Financial Markets (Paperback)
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Paperback. Condition: new. Paperback. AI reshapes the landscape of financial markets, introducing new levels of efficiency, accuracy, and strategic insight. From algorithmic trading and fraud detection to credit scoring and risk assessment, AI technologies analyze financial data in real time, uncover patterns, and make predictions previously unattainable through traditional methods. Machine learning models continuously improve their performance as they process more data, enabling institutions to refine investment strategies and respond to market changes. Natural language processing (NLP) allows AI systems to analyze news sentiment, social media trends, and financial reports, offering contextual understanding. As AI evolves, it enhances decision-making and operational efficiency in the financial sector, while raising critical issues related to transparency, regulation, and the ethical use of autonomous systems in economic environments. Artificial Intelligence Applications in Financial Markets explores how AI technologies transform financial analysis and decision-making in emerging markets. It examines the integration of advanced AI algorithms, such as deep learning, sentiment analysis, and hybrid predictive models, with financial market applications. This book covers topics such as digital technology, financial investment, and sustainable development, and is a useful resource for business owners, computer engineers, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798337350332
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Artificial Intelligence Applications in Financial Markets (Paperback)
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Paperback. Condition: new. Paperback. AI reshapes the landscape of financial markets, introducing new levels of efficiency, accuracy, and strategic insight. From algorithmic trading and fraud detection to credit scoring and risk assessment, AI technologies analyze financial data in real time, uncover patterns, and make predictions previously unattainable through traditional methods. Machine learning models continuously improve their performance as they process more data, enabling institutions to refine investment strategies and respond to market changes. Natural language processing (NLP) allows AI systems to analyze news sentiment, social media trends, and financial reports, offering contextual understanding. As AI evolves, it enhances decision-making and operational efficiency in the financial sector, while raising critical issues related to transparency, regulation, and the ethical use of autonomous systems in economic environments. Artificial Intelligence Applications in Financial Markets explores how AI technologies transform financial analysis and decision-making in emerging markets. It examines the integration of advanced AI algorithms, such as deep learning, sentiment analysis, and hybrid predictive models, with financial market applications. This book covers topics such as digital technology, financial investment, and sustainable development, and is a useful resource for business owners, computer engineers, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9798337350332
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Taschenbuch. Condition: Neu. Artificial Intelligence Applications in Financial Markets | Afef Rachid Amdouni | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337350332 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 135299009
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - AI reshapes the landscape of financial markets, introducing new levels of efficiency, accuracy, and strategic insight. From algorithmic trading and fraud detection to credit scoring and risk assessment, AI technologies analyze financial data in real time, uncover patterns, and make predictions previously unattainable through traditional methods. Machine learning models continuously improve their performance as they process more data, enabling institutions to refine investment strategies and respond to market changes. Natural language processing (NLP) allows AI systems to analyze news sentiment, social media trends, and financial reports, offering contextual understanding. As AI evolves, it enhances decision-making and operational efficiency in the financial sector, while raising critical issues related to transparency, regulation, and the ethical use of autonomous systems in economic environments. Artificial Intelligence Applications in Financial Markets explores how AI technologies transform financial analysis and decision-making in emerging markets. It examines the integration of advanced AI algorithms, such as deep learning, sentiment analysis, and hybrid predictive models, with financial market applications. This book covers topics such as digital technology, financial investment, and sustainable development, and is a useful resource for business owners, computer engineers, academicians, researchers, and scientists. Seller Inventory # 9798337350332