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 The Feasibility of Predicting Financial Crises using Machine Learning written by Julia Markhovski and published by GRIN Verlag. This book was released on 2024-03-26 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bachelor Thesis from the year 2024 in the subject Computer Science - Commercial Information Technology, grade: 1.0, Frankfurt School of Finance & Management, language: English, abstract: In a world characterized by increasingly complex financial markets, the prediction of financial crises is a constant challenge. This bachelor thesis investigates the use of machine learning, in particular regression algorithms, to analyze and predict financial crises based on macroeconomic data. By building six different regression models and optimizing them using cross-validation and GridSearch, the feasibility of using these technologies for accurate predictions is discussed. Although traditional models show limited effectiveness, the integration of machine learning, especially kNN algorithms, reveals significant potential for improving prediction accuracy. The paper highlights the importance of classification algorithms and provides crucial insights for application in real-world scenarios to provide valuable tools for policy and business decision makers.

Download or read book Proceedings of the Workshop on Computation Theory and Practice WCTP 2023 written by Jaime Caro and published by Springer Nature. This book was released on 2024 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zusammenfassung: This is an open access book. Computation should be a good blend of theory and practice. Researchers in the field should create algorithms to address real world problems putting equal weight to analysis and implementation. Experimentation and simulation can be viewed as yielding to refined theories or improved applications. WCTP 2023 is the twelfth workshop organized by the Tokyo Institute of Technology, The Institute of Scientific and Industrial Research-Osaka University, Chitose Institute of Science and Technology, University of the Philippines-Diliman and De La Salle University-Manila that is devoted to theoretical and practical approaches to computation. It aims to present the latest developments by theoreticians and practitioners in academe and industry working to address computational problems that can directly impact the way we live in society. WCTP 2023 will feature work-in-progress presentations of prominent researchers selected by members of its Program Committee who come from highly distinguished institutions in Japan and the Philippines. The presentation at the workshop will certainly provide high quality comments and discussion that future research can benefit from. WCTP 2023 is supported by Chitose Institute of Science and Technology, and Photonics World Consortium

Download or read book Big Data and Machine Learning in Quantitative Investment written by Tony Guida and published by John Wiley & Sons. This book was released on 2018-12-12 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get to know the ‘why’ and ‘how’ of machine learning and big data in quantitative investment Big Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, it’s a book by practitioners for practitioners, covering the questions of why and how of applying machine learning and big data to quantitative finance. The book is split into 13 chapters, each of which is written by a different author on a specific case. The chapters are ordered according to the level of complexity; beginning with the big picture and taxonomy, moving onto practical applications of machine learning and finally finishing with innovative approaches using deep learning. • Gain a solid reason to use machine learning • Frame your question using financial markets laws • Know your data • Understand how machine learning is becoming ever more sophisticated Machine learning and big data are not a magical solution, but appropriately applied, they are extremely effective tools for quantitative investment — and this book shows you how.

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 OECD Sovereign Borrowing Outlook 2021 written by OECD and published by OECD Publishing. This book was released on 2021-05-20 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edition of the OECD Sovereign Borrowing Outlook reviews developments in response to the COVID-19 pandemic for government borrowing needs, funding conditions and funding strategies in the OECD area.

Download or read book Stress Testing at the IMF written by Mr.Tobias Adrian and published by International Monetary Fund. This book was released on 2020-02-05 with total page 73 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper explains specifics of stress testing at the IMF. After a brief section on the evolution of stress tests at the IMF, the paper presents the key steps of an IMF staff stress test. They are followed by a discussion on how IMF staff uses stress tests results for policy advice. The paper concludes by identifying remaining challenges to make stress tests more useful for the monitoring of financial stability and an overview of IMF staff work program in that direction. Stress tests help assess the resilience of financial systems in IMF member countries and underpin policy advice to preserve or restore financial stability. This assessment and advice are mainly provided through the Financial Sector Assessment Program (FSAP). IMF staff also provide technical assistance in stress testing to many its member countries. An IMF macroprudential stress test is a methodology to assess financial vulnerabilities that can trigger systemic risk and the need of systemwide mitigating measures. The definition of systemic risk as used by the IMF is relevant to understanding the role of its stress tests as tools for financial surveillance and the IMF’s current work program. IMF stress tests primarily apply to depository intermediaries, and, systemically important banks.

Download or read book Global Economic Prospects 2010 written by World Bank and published by World Bank Publications. This book was released on 2010-02-12 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: “The crisis has deeply impacted virtually every economy in the world, and although growth has returned, much progress in the fight against poverty has been lost. More difficult international conditions in the years to come will mean that developing countries will have to place even more emphasis on improving domestic economic conditions to achieve the kind of growth that can durably eradicate poverty.� —Justin Yifu Lin, Chief Economist and Senior Vice President The World Bank 'Global Economic Prospects 2010: Crisis, Finance, and Growth' explores both the short- and medium-term impacts of the financial crisis on developing countries. Although global growth has resumed, the recovery is fragile, and unless business and consumer demand strengthen, the world economy could slow down again. Even if, as appears likely, a double-dip recession is avoided, the recovery is expected to be slow. High unemployment and widespread restructuring will continue to characterize the global economy for the next several years. Already, the crisis has provoked large-scale human suffering. Some 64 million more people around the world are expected to be living on less than a $1.25 per day by the end of 2010, and between 30,000 and 50,000 more infants may have died of malnutrition in 2009 in Sub-Saharan Africa, than would have been the case if the crisis had not occurred. Over the medium term, economic growth is expected to recover. But increased risk aversion, a necessary and desirable tightening of financial regulations in high-income countries, and measures to reduce the exposure of developing economies to external shocks are likely to make finance scarcer and more costly than it was during the boom period. As a result, just as the ample liquidity of the early 2000s prompted an investment boom and an acceleration in developing-country potential output, higher costs will likely yield a slowing in developing-country potential growth rates of between 0.2 and 0.7 percentage points, and as much as an 8 percent decline in potential output over the medium term. In the longer term, however, developing countries can more than offset the implications of more expensive international finance by reducing the cost of capital channeled through their domestic financial markets. For more information, please visit www.worldbank.org/gep2010. To access Prospects for the Global Economy, an online companion publication, please visit www.worldbank.org/globaloutlook.

Download or read book New Trends in Computer Technologies and Applications written by Sun-Yuan Hsieh and published by Springer Nature. This book was released on 2023-02-09 with total page 697 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 25th International Computer Symposium on New Trends in Computer Technologies and Applications, ICS 2022, which took place in Taoyuan, Taiwan, in December 2022. ICS is one of the largest joint international IT symposia held in Taiwan. Founded in 1973, it is intended to provide a forum for researchers, educators, and professionals to exchange their discoveries and practices, and to explore future trends and applications in computer technologies. The biannual symposium offers a great opportunity to share research experiences and to discuss potential new trends in the IT industry. The 58 full papers and one invited paper presented in this volume were carefully reviewed and selected from 137 submissions. The papers have been organized in the following topical sections: Invited Paper; Algorithms, Bioinformatics, and Computation Theory; Cloud Computing and Big Data; Computer Vision and Image Processing; Cryptography and Information Security; Electronics and Information Technology; Mobile Computation and Wireless Communication; Ubiquitous Cybersecurity and Forensics.

Download or read book Big Data in Finance written by Thomas Walker and published by Springer Nature. This book was released on 2022-10-03 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book explores the unique risks, opportunities, challenges, and societal implications associated with big data developments within the field of finance. While the general use of big data has been the subject of frequent discussions, this book will take a more focused look at big data applications in the financial sector. With contributions from researchers, practitioners, and entrepreneurs involved at the forefront of big data in finance, the book discusses technological and business-inspired breakthroughs in the field. The contributions offer technical insights into the different applications presented and highlight how these new developments may impact and contribute to the evolution of the financial sector. Additionally, the book presents several case studies that examine practical applications of big data in finance. In exploring the readiness of financial institutions to adapt to new developments in the big data/artificial intelligence space and assessing different implementation strategies and policy solutions, the book will be of interest to academics, practitioners, and regulators who work in this field.

Download or read book WIPO Technology Trends 2019 Artificial Intelligence written by World Intellectual Property Organization and published by WIPO. This book was released on 2019-01-21 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first report in a new flagship series, WIPO Technology Trends, aims to shed light on the trends in innovation in artificial intelligence since the field first developed in the 1950s.

Download or read book Advanced Studies of Financial Technologies and Cryptocurrency Markets written by Lukáš Pichl and published by Springer Nature. This book was released on 2020-07-29 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows that research contributions from different fields—finance, economics, computer sciences, and physics—can provide useful insights into key issues in financial and cryptocurrency markets. Presenting the latest empirical and theoretical advances, it helps readers gain a better understanding of financial markets and cryptocurrencies. Bitcoin was the first cryptocurrency to use a peer-to-peer network to prevent double-spending and to control its issue without the need for a central authority, and it has attracted wide public attention since its introduction. In recent years, the academic community has also started gaining interest in cyptocurrencies, and research in the field has grown rapidly. This book presents is a collection of the latest work on cryptocurrency markets and the properties of those markets. This book will appeal to graduate students and researchers from disciplines such as finance, economics, financial engineering, computer science, physics and applied mathematics working in the field of financial markets, including cryptocurrency markets.

Download or read book Artificial Intelligence in Banking written by Introbooks and published by . This book was released on 2020-04-07 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: In these highly competitive times and with so many technological advancements, it is impossible for any industry to remain isolated and untouched by innovations. In this era of digital economy, the banking sector cannot exist and operate without the various digital tools offered by the ever new innovations happening in the field of Artificial Intelligence (AI) and its sub-set technologies. New technologies have enabled incredible progression in the finance industry. Artificial Intelligence (AI) and Machine Learning (ML) have provided the investors and customers with more innovative tools, new types of financial products and a new potential for growth.According to Cathy Bessant (the Chief Operations and Technology Officer, Bank of America), AI is not just a technology discussion. It is also a discussion about data and how it is used and protected. She says, "In a world focused on using AI in new ways, we're focused on using it wisely and responsibly."

Download or read book The Economics of Artificial Intelligence written by Ajay Agrawal and published by University of Chicago Press. This book was released on 2024-03-05 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

Download or read book Inflation Targeting and Financial Stability written by Pierre-Richard Agénor and published by . This book was released on 2013 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Intelligent Computing Technology and Automation written by Z. Hou and published by IOS Press. This book was released on 2024-02-08 with total page 1248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) is a rapidly developing field of computer science which integrates multiple disciplines such as computer science, psychology, and philosophy. It is a technology that develops theories, methods, technologies, and application systems to simulate, extend, and expand human intelligence by attempting to understand its essence, producing a new, intelligent machine that can respond in a way similar to human intelligence. Artificial intelligence now plays an increasingly important role in the development of global industries and economies, and as such is currently changing our world significantly, making AI research a hot topic worldwide. This book presents the proceedings of ICICTA 2023, the 16th International Conference on Intelligent Computing Technology and Automation, held on 24-25 October 2023 in Xi’an, China. The conference is an annual forum dedicated to emerging and challenging topics in AI and its applications, and its aim is to bring together an international community of researchers and practitioners in the field of AI to share the latest research achievements, discuss recent advances influence future direction, and promote the diffusion of the discipline throughout the scientific community at large. A total of 322 submissions were received for ICICTA 2023, and each paper received at least 2 review reports in a rigorous peer-review procedure. Based on these reports, 141 papers were ultimately accepted and are included in this book. The book offers a current overview of developments in AI technology, and will be of interest to all those working in the field.

Download or read book Photogrammetric Computer Vision written by Wolfgang Förstner and published by Springer. This book was released on 2016-10-04 with total page 819 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook offers a statistical view on the geometry of multiple view analysis, required for camera calibration and orientation and for geometric scene reconstruction based on geometric image features. The authors have backgrounds in geodesy and also long experience with development and research in computer vision, and this is the first book to present a joint approach from the converging fields of photogrammetry and computer vision. Part I of the book provides an introduction to estimation theory, covering aspects such as Bayesian estimation, variance components, and sequential estimation, with a focus on the statistically sound diagnostics of estimation results essential in vision metrology. Part II provides tools for 2D and 3D geometric reasoning using projective geometry. This includes oriented projective geometry and tools for statistically optimal estimation and test of geometric entities and transformations and their relations, tools that are useful also in the context of uncertain reasoning in point clouds. Part III is devoted to modelling the geometry of single and multiple cameras, addressing calibration and orientation, including statistical evaluation and reconstruction of corresponding scene features and surfaces based on geometric image features. The authors provide algorithms for various geometric computation problems in vision metrology, together with mathematical justifications and statistical analysis, thus enabling thorough evaluations. The chapters are self-contained with numerous figures and exercises, and they are supported by an appendix that explains the basic mathematical notation and a detailed index. The book can serve as the basis for undergraduate and graduate courses in photogrammetry, computer vision, and computer graphics. It is also appropriate for researchers, engineers, and software developers in the photogrammetry and GIS industries, particularly those engaged with statistically based geometric computer vision methods.