This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

With advancing technologies like distributed ledgers, smart contracts, and digital payment platforms, financial services must be innovative in order to remain relevant in the modern era. The adoption of financial technology affects the whole Islamic financial industry as well as the economic stability of a globalized world. There is a need for research that seeks to understand financial technology and the regulatory technology necessary to ensure financial security and stability. Impact of Financial Technology (FinTech) on Islamic Finance and Financial Stability is an essential publication that examines both the theory and application of newly-available financial services and discusses the impact of FinTech on the Islamic financial service industry. Featuring research on topics such as cryptocurrency, peer-to-peer transferring, and digital wallets, this book is ideally designed for researchers, bank managers, economists, analysts, market professionals, managers, executives, computer scientists, business practitioners, academicians, and students seeking coverage on how the latest in artificial intelligence, machine learning, and blockchain technology will redesign Islamic finance.

This book shows latest research on artificial intelligence for sustainable technology. ICGER 2021 was organized by the Accounting, Finance and Banking Department at Ahlia University, Bahrain, and was conducted on the 15th and 16th of September. The strategic partners included the University of Jordan, the Bahrain Economists Society, the Association of Chartered Certified Accountants: ACCA, Al-Barka Banking Group and the International Computer Auditing Education Association: ICAEA . The theme of the ICGER 2021 centered around artificial intelligence for sustainable finance and sustainable technology. Accordingly, the papers presented at the conference provided a holistic view of sustainable finance, sustainability, AI, financial technology, cybersecurity, blockchain, CSR, and governance. This book, unlike ever before, brings together intelligence applications of new technologies and the sustainability requirements in the era of the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations which will help societies (economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, and students) to better understand, use, and control AI applications and financial technologies to develop future strategies and to achieve sustainable development goals.

The implementation of new technologies is expected to boost the development of Islamic Finance by increasing accessibility to banking and other financial services in Islamic communities and democratizing access to investment opportunities. At the same time, new technologies will increase financing opportunities and facilitate asset management for Sharia-compliant businesses. This collection of essays from selected experts in the field comprise some of the most topical issues on Islamic Fintech, combining a business focus with legal insights. The book takes as a point of departure the role that Islamic Fintech can play in promoting sustainability. The social vision of welfare improvement and justice is already embedded in Sharia’s economic rules, which makes Islamic Finance particularly well suited to bridge the gap between sustainability and funding. Although it is not without challenges for the industry, technology will help unleash its potential. With a holistic approach to Islamic Fintech, the contributing authors address the application of new technologies to Islamic Finance, including robo-advisory, crowdfunding and digital ledger technology (both in the issuance of bitcoin and the registration of securities in tokenized form) and in certain sectors such as takaful (takaful-tech) and health (e-health). Finally, they explore the challenges posed by anti-money laundering (‘AML’) in the specific realm of Islamic Fintech. The book combines theoretical analysis with a practical focus, both through case studies and directly through the experiences of leading entrepreneurs. In addition, it provides insights on legal and regulatory aspects, which are key in a field that is still in its infancy and needs support from lawmakers and regulators. It is, thus, a reference for academics, legal practitioners, policymakers, entrepreneurs and the Islamic Finance community.

This book provides a systematic overview of the current trends in research relating to the use of artificial intelligence in Islamic financial institutions (IFIs), across all organization of Islamic cooperation (OIC) countries. Artificial Intelligence and Islamic Finance discusses current and potential applications of artificial intelligence (AI) for risk management in Islamic finance. It covers various techniques of risk management, encompassing asset and liability management risk, credit, market, operational, liquidity risk, as well as regulatory and Shariah risk compliance within the financial industry. The authors highlight AI’s ability to combat financial crime such as monitoring trader recklessness, anti-fraud and anti-money laundering, and assert that the capacity of machine learning (ML) to examine large amounts of data allows for greater granular and profound analyses across a variety of Islamic financial products and services. The book concludes with practical limitations around data management policies, transparency, and lack of necessary skill sets within financial institutions. By adopting new methodological approaches steeped in an Islamic economic framework (e.g., analysing FinTech in the context of Shariah principles and Islamic values), it devises practical solutions and generates insightful knowledge, helping readers to understand and explore the role of technological enablers in the Islamic finance industry, such as RegTech and artificial intelligence, in providing better and Shariah-compliant services to customers through digital platforms. The book will attract a wide readership spanning Shariah scholars, academicians, and researchers as well as Islamic financial practitioners and policy makers.

As an emerging global phenomenon, Islamic economics and the financial system has expanded exponentially in recent decades. Many components of the industry are still unknown, but hopefully, the lack of awareness will soon be stilled. The Handbook of Research on Theory and Practice of Global Islamic Finance provides emerging research on the latest global Islamic economic practices. The content within this publication examines risk management, economic justice, and stock market analysis. It is designed for financiers, banking professionals, economists, policymakers, researchers, academicians, and students interested in ideas centered on the development and practice of Islamic finance.

As technology advancement has increased, so to have computational applications for forecasting, modelling and trading financial markets and information, and practitioners are finding ever more complex solutions to financial challenges. Neural networking is a highly effective, trainable algorithmic approach which emulates certain aspects of human brain functions, and is used extensively in financial forecasting allowing for quick investment decision making. This book presents the most cutting-edge artificial intelligence (AI)/neural networking applications for markets, assets and other areas of finance. Split into four sections, the book first explores time series analysis for forecasting and trading across a range of assets, including derivatives, exchange traded funds, debt and equity instruments. This section will focus on pattern recognition, market timing models, forecasting and trading of financial time series. Section II provides insights into macro and microeconomics and how AI techniques could be used to better understand and predict economic variables. Section III focuses on corporate finance and credit analysis providing an insight into corporate structures and credit, and establishing a relationship between financial statement analysis and the influence of various financial scenarios. Section IV focuses on portfolio management, exploring applications for portfolio theory, asset allocation and optimization. This book also provides some of the latest research in the field of artificial intelligence and finance, and provides in-depth analysis and highly applicable tools and techniques for practitioners and researchers in this field.