Artificial Intelligence Applications in Financial Markets (N/A)
N/A
Organization: IGI Global Scientific Publishing
Event: N/A
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Objective
The primary objective of this book is to provide a comprehensive and up-to-date academic reference on the applications of artificial intelligence in transforming financial markets worldwide. It aims to bridge the gap between theoretical AI models and their practical implementation in various financial domains, such as trading, risk management, regulatory compliance, and fraud detection. Furthermore, the book seeks to highlight interdisciplinary research that combines finance, economics, and data science to foster innovative methodologies and empirical analyses. Special emphasis is placed on the adoption and adaptation of AI technologies in both developed and emerging markets, particularly within the Gulf Cooperation Council (GCC) region. Another key goal is to explore the ethical, legal, and regulatory challenges associated with AI deployment in finance, promoting transparency, accountability, and responsible innovation. By doing so, this volume intends to support policymakers, practitioners, and researchers in understanding the transformative impact of AI on financial market dynamics. Ultimately, the book aspires to stimulate data-driven, evidence-based discussions that contribute to the advancement of academic knowledge, industry practice, and regulatory frameworks in the evolving landscape of AI-powered finance.
Target Audience
This book targets a broad academic and professional audience interested in the convergence of AI and financial markets, including: *Academic researchers and graduate students in finance, economics, data science, and financial engineering exploring theoretical and applied aspects of AI in finance*. *Finance professionals and practitioners, such as portfolio managers, risk analysts, and fintech developers, aiming to implement AI-driven strategies and tools*. *Policymakers, regulators, and financial authorities seeking insights on AI’s role in market oversight, regulatory compliance, and systemic risk management*. *Technology specialists and AI engineers developing intelligent financial systems within banks, fintech startups, and technology firms*. *Stakeholders from emerging and developing markets, particularly within the Gulf Cooperation Council (GCC), who are integrating AI to enhance financial inclusion, market resilience, and regulatory modernization*. *Development institutions and academic centers interested in comparative perspectives on AI adoption across varied financial environments*. The volume is designed to serve as a key academic and practical reference for understanding AI’s transformative impact on financial markets worldwide, with attention to differentiated regional pathways.
Recommended Topics
*AI-driven stock price prediction and financial market forecasting models* *Machine learning techniques for portfolio optimization and asset allocation* *Neural networks and deep learning algorithms in algorithmic and high-frequency trading* *Natural Language Processing (NLP) for sentiment analysis of financial news and social media* *AI applications in fraud detection, anomaly detection, and financial crime prevention* *Credit risk assessment and loan default prediction using machine learning* *Robo-advisory platforms and automated wealth management systems* *Regulatory Technology: AI tools for compliance monitoring and reporting* *Ethical AI, transparency, and explainability in financial decision-making* *AI applications in Islamic finance and Sharia-compliant financial products* *Comparative case studies on AI adoption in emerging versus developed financial markets* *The role of AI in enhancing financial inclusion and market efficiency in emerging economies, with emphasis on the Gulf Cooperation Council region* *Challenges and opportunities of AI integration in volatile and less liquid markets* *AI-driven Environmental, Social, and Governance (ESG) investing and sustainable finance* *Intersection of AI and blockchain technologies in financial innovation* *Policy and regulatory challenges for AI in financial markets: global and regional perspectives* *AI Models for Real-time Trading Data Analysis and Short-term Market Movement Prediction* *Using AI to Assess and Mitigate Liquidity Risk in Financial Markets* *Employing AI in Designing Customized and Structured Financial Products for Retail and Institutional Clients* *Big Data Analytics Powered by AI to Support Investment and Business Decision-Making*
Submission Procedure
Researchers and practitioners are invited to submit on or before July 13, 2025, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by July 27, 2025 about the status of their proposals and sent chapter guidelines.Full chapters of a minimum of 10,000 words (word count includes references and related readings) are expected to be submitted by October 26, 2025, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.
Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Artificial Intelligence Applications in Financial Markets. All manuscripts are accepted based on a double-anonymized peer review editorial process.
All proposals should be submitted through the eEditorial Discovery® online submission manager.
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agasmi@taibahu.edu.sa
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Afef Amdouni
