Download or read book Advanced Machine Learning Algorithms for Complex Financial Applications written by Irfan, Mohammad and published by IGI Global. This book was released on 2023-01-09 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advancements in artificial intelligence and machine learning have significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are becoming more complex within the field of finance. Artificial intelligence and machine learning, with their spectacular success accompanied by unprecedented accuracies, have become increasingly important in the finance world. Advanced Machine Learning Algorithms for Complex Financial Applications provides innovative research on the roles of artificial intelligence and machine learning algorithms in financial sectors with special reference to complex financial applications such as financial risk management in big data environments. In addition, the book addresses broad challenges in both theoretical and application aspects of artificial intelligence in the field of finance. Covering essential topics such as secure transactions, financial monitoring, and data modeling, this reference work is crucial for financial specialists, researchers, academicians, scholars, practitioners, instructors, and students.

Download or read book Applications of Block Chain technology and Artificial Intelligence written by Mohammad Irfan and published by Springer Nature. This book was released on with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Fintech Applications in Islamic Finance AI Machine Learning and Blockchain Techniques written by Irfan, Mohammad and published by IGI Global. This book was released on 2023-12-07 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the realm of Islamic finance, a pivotal challenge looms—the escalating complexity of investment decisions, macroeconomic analyses, and credit evaluations. In response, we present a groundbreaking solution that resonates with the rapidly evolving fintech era. Fintech Applications in Islamic Finance: AI, Machine Learning, and Blockchain Techniques offers a compelling repository of knowledge, meticulously curated by renowned editors Mohammad Irfan, Seifedine Kadry, Muhammad Sharif, and Habib Ullah Khan. Fintech Applications in Islamic Finance: AI, Machine Learning, and Blockchain Techniques is a call to action, an exploration of innovation, and a guide for both academia and industry. In an era where AI, ML, and blockchain reshape finance, this book stands as a beacon of knowledge, ushering Islamic finance into a realm of unprecedented efficiency and insight. As we invite readers to embark on this transformative journey, we illuminate the path to a future where technology and tradition converge harmoniously.

Download or read book Powering the Digital Economy Opportunities and Risks of Artificial Intelligence in Finance written by El Bachir Boukherouaa and published by International Monetary Fund. This book was released on 2021-10-22 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Artificial Intelligence for Risk Mitigation in the Financial Industry written by Ambrish Kumar Mishra and published by John Wiley & Sons. This book was released on 2024-05-29 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for Risk Mitigation in the Financial Industry This book extensively explores the implementation of AI in the risk mitigation process and provides information for auditing, banking, and financial sectors on how to reduce risk and enhance effective reliability. The applications of the financial industry incorporate vast volumes of structured and unstructured data to gain insight into the financial and non-financial performance of companies. As a result of exponentially increasing data, auditors and management professionals need to enhance processing capabilities while maintaining the effectiveness and reliability of the risk mitigation process. The risk mitigation and audit procedures are processes involving the progression of activities to “transform inputs into output.” As AI systems continue to grow mainstream, it is difficult to imagine an aspect of risk mitigation in the financial industry that will not require AI-related assurance or AI-assisted advisory services. AI can be used as a strong tool in many ways, like the prevention of fraud, money laundering, and cybercrime, detection of risks and probability of NPAs at early stages, sound lending, etc. Audience This is an introductory book that provides insights into the advantages of risk mitigation by the adoption of AI in the financial industry. The subject is not only restricted to individuals like researchers, auditors, and management professionals, but also includes decision-making authorities like the government. This book is a valuable guide to the utilization of AI for risk mitigation and will serve as an important standalone reference for years to come.

Download or read book The Impact of AI Innovation on Financial Sectors in the Era of Industry 5 0 written by Irfan, Mohammad and published by IGI Global. This book was released on 2023-09-05 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the dynamic and ever-changing financial landscape, the seamless integration of artificial intelligence (AI) and machine learning (ML) has presented unprecedented challenges for the banking and finance industry. As we embrace the era of Industry 5.0, financial institutions find themselves confronted with intricate decisions pertaining to investments, macroeconomic analysis, and credit evaluation, necessitating innovative technologies to navigate this complexity. Additionally, the mounting volume of financial transactions calls for efficient data processing and analysis. Considering these pressing concerns, scholars, academicians, and industry practitioners are eagerly seeking comprehensive insights into the transformative potential of AI and ML, specifically in bolstering resilience, fostering sustainable development, and adopting human-centric approaches within the financial sector. Offering a compelling solution to these critical challenges, The Impact of AI Innovation on Financial Sectors in the Era of Industry 5.0, edited by esteemed scholars Mohammad Irfan, Mohammed Elmogy, M. Shabri Abd. Majid, and Shaker El-Sappagh, embark on an in-depth exploration of the multifaceted functions and applications of AI and ML algorithms in the realm of finance. With a keen focus on Industry 5.0 principles such as resilience, human centricity, and sustainable development, this comprehensive compendium presents a collection of groundbreaking research papers that unveil the remarkable potential of AI/ML technologies in revolutionizing the financial services industry. By catering to a diverse audience comprising researchers, academicians, industrialists, investors, and regulatory bodies, this book actively invites contributions from industry practitioners and scholars, facilitating ongoing discussions on the efficacy of ML algorithms in efficiently processing vast financial data. As the financial landscape charts an ambitious course into Industry 5.0, the book emerges as an indispensable resource, empowering the industry with transformative advancements that will indelibly shape the future of finance.

Download or read book Advances in Financial Machine Learning written by Marcos Lopez de Prado and published by John Wiley & Sons. This book was released on 2018-01-23 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to understand and implement the latest machine learning innovations to improve your investment performance Machine learning (ML) is changing virtually every aspect of our lives. Today, ML algorithms accomplish tasks that – until recently – only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and invest. In the book, readers will learn how to: Structure big data in a way that is amenable to ML algorithms Conduct research with ML algorithms on big data Use supercomputing methods and back test their discoveries while avoiding false positives Advances in Financial Machine Learning addresses real life problems faced by practitioners every day, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their individual setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.

Download or read book Issues of Sustainability in AI and New Age Thematic Investing written by Irfan, Mohammad and published by IGI Global. This book was released on 2024-03-18 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the face of an evolving global landscape characterized by climate change and a pressing need for sustainable development, the finance sector remains at a critical juncture. Traditional financial models struggle to address the challenges posed by the transition to a low-carbon economy, and unlocking private investments for sustainable initiatives remains an uphill battle. The integration of Artificial Intelligence (AI) and Machine Learning (ML) into financial systems presents both promise and peril, with the potential to reshape the industry while posing unprecedented challenges. Issues of Sustainability in AI and New-Age Thematic Investing is a beacon of insight and solutions in the realm of green finance and AI/ML integration. Geared toward academic scholars, policymakers, and industry experts, this book serves as a comprehensive guide to navigating the intricacies of sustainable development and energy transition. By highlighting the pivotal role of AI/ML in green finance, the publication bridges the gap between theoretical understanding and practical implementation, offering actionable solutions for unlocking private investments.

Download or read book Machine Learning for Finance written by Jannes Klaas and published by . This book was released on 2019-05-30 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Plan and build useful machine learning systems for financial services, with full working Python code Key Features Build machine learning systems that will be useful across the financial services industry Discover how machine learning can solve finance industry challenges Gain the machine learning insights and skills fintech companies value most Book Description Machine learning skills are essential for anybody working in financial data analysis. Machine Learning for Finance shows you how to build machine learning models for use in financial services organizations. It shows you how to work with all the key machine learning models, from simple regression to advanced neural networks. You will see how to use machine learning to automate manual tasks, identify and address systemic bias, and find new insights and patterns hidden in available data. Machine Learning for Finance encourages and equips you to find new ways to use data to serve an organization's business goals. Broad in scope yet deeply practical in approach, Machine Learning for Finance will help you to apply machine learning in all parts of a financial organization's infrastructure. If you work or plan to work in fintech, and want to gain one of the most valuable skills in the sector today, this book is for you. What you will learn Practical machine learning for the finance sector Build machine learning systems that support the goals of financial organizations Think creatively about problems and how machine learning can solve them Identify and reduce sources of bias from machine learning models Apply machine learning to structured data, natural language, photographs, and written text related to finance Use machine learning to detect fraud, forecast financial trends, analyze customer sentiments, and more Implement heuristic baselines, time series, generative models, and reinforcement learning in Python, scikit-learn, Keras, and TensorFlow Who this book is for Machine Learning for Finance is for financial professionals who want to develop and apply machine learning skills, and for students entering the field. You should be comfortable with Python and the basic data science stack, such as NumPy, pandas, and Matplotlib, to get the most out of this book.

Download or read book Machine Learning in Finance written by Matthew F. Dixon and published by Springer Nature. This book was released on 2020-07-01 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the trend towards increasing computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is written for advanced graduate students and academics in financial econometrics, mathematical finance and applied statistics, in addition to quants and data scientists in the field of quantitative finance. Machine Learning in Finance: From Theory to Practice is divided into three parts, each part covering theory and applications. The first presents supervised learning for cross-sectional data from both a Bayesian and frequentist perspective. The more advanced material places a firm emphasis on neural networks, including deep learning, as well as Gaussian processes, with examples in investment management and derivative modeling. The second part presents supervised learning for time series data, arguably the most common data type used in finance with examples in trading, stochastic volatility and fixed income modeling. Finally, the third part presents reinforcement learning and its applications in trading, investment and wealth management. Python code examples are provided to support the readers' understanding of the methodologies and applications. The book also includes more than 80 mathematical and programming exercises, with worked solutions available to instructors. As a bridge to research in this emergent field, the final chapter presents the frontiers of machine learning in finance from a researcher's perspective, highlighting how many well-known concepts in statistical physics are likely to emerge as important methodologies for machine learning in finance.

Download or read book AI Driven Decentralized Finance and the Future of Finance written by Irfan, Mohammad and published by IGI Global. This book was released on 2024-08-26 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the evolving landscape of finance, traditional institutions grapple with challenges ranging from outdated processes to limited accessibility, hindering the industry's ability to meet the diverse needs of a modern, digital-first society. Moreover, as the world embraces Decentralized Finance (DeFi) and Artificial Intelligence (AI) technologies, there becomes a need to bridge the gap between innovation and traditional financial systems. This disconnect not only impedes progress but also limits the potential for financial inclusion and sustainable growth. AI-Driven Decentralized Finance and the Future of Finance addresses the complexities and challenges currently facing the financial industry. By exploring the transformative potential of AI in decentralized finance, this book offers a roadmap for navigating the convergence of technology and finance. From optimizing smart contracts to enhancing security and personalizing financial experiences, the book provides practical insights and real-world examples that empower professionals to leverage AI-driven strategies effectively.

Download or read book Innovation Capabilities and Entrepreneurial Opportunities of Smart Working written by Orlando, Beatrice and published by IGI Global. This book was released on 2023-11-24 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Covid-19 pandemic has accelerated the adoption of Smart Working (SW) and Distance Learning (DL), leading to concerns about their overall effectiveness despite initial efficiency. Limited research on the positive and negative effects of these practices has left decision-makers ill-equipped to navigate their complexities. To address this knowledge gap, Innovation Capabilities and Entrepreneurial Opportunities of Smart Working, edited by Beatrice Orlando from the University of Ferrara, Italy, provides a comprehensive resource to explore the multifaceted effects of SW and DL. The book covers topics such as efficiency, effectiveness, knowledge management, individual impact, and broader social, economic, and business implications, equipping both academic scholars and practitioners with the necessary knowledge to understand and leverage SW and DL effectively. It empowers decision-makers to make informed choices, develop innovative strategies, and maximize benefits while mitigating potential negative effects. By offering a comprehensive examination of the present and future impact of SW and DL, Innovation Capabilities and Entrepreneurial Opportunities of Smart Working emerges as an indispensable solution. The book enables scholars to contribute groundbreaking research and assists practitioners in making informed decisions that will shape the future of work and learning in the digital age. With its fresh insights and evidence-based research, it equips readers to navigate the complexities of SW and DL, driving meaningful change and fostering innovation in organizations and educational institutions.

Download or read book An Introduction To Machine Learning In Quantitative Finance written by Hao Ni and published by World Scientific. This book was released on 2021-04-07 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's world, we are increasingly exposed to the words 'machine learning' (ML), a term which sounds like a panacea designed to cure all problems ranging from image recognition to machine language translation. Over the past few years, ML has gradually permeated the financial sector, reshaping the landscape of quantitative finance as we know it.An Introduction to Machine Learning in Quantitative Finance aims to demystify ML by uncovering its underlying mathematics and showing how to apply ML methods to real-world financial data. In this book the authorsFeatured with the balance of mathematical theorems and practical code examples of ML, this book will help you acquire an in-depth understanding of ML algorithms as well as hands-on experience. After reading An Introduction to Machine Learning in Quantitative Finance, ML tools will not be a black box to you anymore, and you will feel confident in successfully applying what you have learnt to empirical financial data!

Download or read book Future Outlooks on Corporate Finance and Opportunities for Robust Economic Planning written by Kunjumuhammed, Siraj Kariyilaparambu and published by IGI Global. This book was released on 2023-02-20 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Corporate finance decisions showcase the responses of corporations to address challenges on both the demand and supply sides and the firm value chain. Corporate performance, strategies, and priorities have changed significantly since the pandemic. Understanding these changes and developing and implementing policy responses are crucial to success. Future Outlooks on Corporate Finance and Opportunities for Robust Economic Planning disseminates knowledge regarding corporate response during crises that contribute to a robust economic planning process. It examines the adjustments and strategic interventions that helped corporations mitigate challenges successfully. Covering topics such as corporate governance practices, global systemic risk interdependencies, and investment decisions, this premier reference source is an excellent resource for finance professionals, business executives and managers, financial officers, students and faculty of higher education, librarians, researchers, and academicians.

Download or read book Concepts Cases and Regulations in Financial Fraud and Corruption written by Rafay, Abdul and published by IGI Global. This book was released on 2023-03-07 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the last few decades, financially and technologically corrupt practices, such as financial and technological crimes, frauds, forgeries, scandals, and money laundering, have been monitored in many countries around the globe. There is a general lack of awareness regarding these issues among various stakeholders including researchers and practitioners. Concepts, Cases, and Regulations in Financial Fraud and Corruption considers all aspects of financial and technological crimes, frauds, and corruption in individual, organizational, and societal experiences. The book also discusses the emergence and practices of financial crimes, frauds, and corruption during the last century and especially in the current technological advancement. Covering key topics such as financing, ethical leadership, tax evasion, and insider trading, this premier reference source is ideal for computer scientists, business owners, managers, researchers, scholars, academicians, practitioners, instructors, and students.

Download or read book Finance for Sustainability in a Turbulent Economy written by Rafay, Abdul and published by IGI Global. This book was released on 2022-06-24 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Climate change and the depletion of resources will have a long-lasting effect on the globe. Thus, it is essential that businesses and organizations across the world adopt financial practices and strategies that allow them to continue their service, limit emissions, and preserve resources. However, these practices are only made more difficult to adopt within the context of a turbulent economy. In this context, it is imperative to research financial strategies to protect the environment and support business resilience. Finance for Sustainability in a Turbulent Economy provides international financial strategies to achieve sustainable business practices within a turbulent economy. It highlights the importance of maintaining environmental health in a cost-effective way. Covering topics such as environmental finance, renewable energy frameworks, and social responsibility, this premier reference source is an essential resource for environmental scientists, government officials, engineers, business executives, environmentalists, politicians, students and educators of higher education, researchers, and academicians.

Download or read book Exploring the Dark Side of FinTech and Implications of Monetary Policy written by Ahmed, Sheraz and published by IGI Global. This book was released on 2023-03-02 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: FinTech has revolutionized the way financial services are delivered and consumed in the modern world and the use of central bank digital currencies is gaining traction. With these new advancements, further study is required to ensure they are utilized appropriately and reach their full potential. Exploring the Dark Side of FinTech and Implications of Monetary Policy examines recent advancements in central bank digital currency and many FinTech applications and discusses FinTech trends, possibilities, and challenges as well as different moral, ethical, and social issues. Covering key topics such as digital economy, monetary policy, and sustainability, this reference work is ideal for managers, industry professionals, business owners, entrepreneurs, policymakers, researchers, scholars, practitioners, instructors, and students.