Praise for LEARNING PRACTICAL FINTECH FROM SUCCESSFUL COMPANIES "Throughout my career I've seen the world of finance transformed by technology, from the earliest days of online lending to the current innovations happening with blockchain and cryptocurrency. I believe we're at a critical point in history where a new Internet of Value is starting to emerge, and I'm excited to see so many talented entrepreneurs tackling problems in global finance today." CHRIS LARSEN, Cofounder and Executive Chairman of Ripple "Blockchain technology is changing the way the world does business. This book offers an inside look at how institutions from all corners of financial services and other areas of commerce are collaborating with software firms like R3 to re- engineer the infrastructure that enables money, goods, and information to flow around the globe." DAVID RUTTER, Founder, Chief Executive Officer of R3 "When we think about FinTech, we often think about New York, Silicon Valley, and London, but this book tackles the awakening dragon that is Asian FinTech. Do yourself a huge favor and read this book. Asia is where the real FinTech evolution is happening." BRETT KING, Author of Augmented and BANK 4.0, Host of the Breaking Banks Radio Show, Founder of Moven

This book explores how the business transformation taking place in Japan is influenced by the digital revolution. Its chapters present approaches and examples from sectors commonly understood to be visible arenas of digital transformation—3D printing and mobility, for instance—as well as some from not-so-obvious sectors, such as retail, services, and fintech. Business today is facing unprecedented change especially due to the adoption of new, digital technologies, with a noticeable transformation of manufacturing and services. The changes have been brought by advanced robotics, the emergence of artificial intelligence, and digital networks that are growing in size and capability as the number of connected devices explodes. In addition, there are advanced manufacturing and collaborative connected platforms, including machine-to-machine communications. Adoption of digital technology has caused process disruptions in both the manufacturing and services sectors and led to new business models and new products. While examining the preparedness of the Japanese economy to embrace these changes, the book explores the impact of digitally influenced changes on some selected sectors from a Japanese perspective. It paints a big picture in explaining how a previously manufacturing-centric, successful economy adopts change to retain and rebuild success in the global environment. Japan as a whole is embracing, yet also avoiding—innovating but also restricting—various forms of digitalization of life and work. The book, with its 17 chapters, is a collaborative effort of individuals contributing diverse points of view as technologists, academics, and managers.

This new book provides a valuable overview of how artificial intelligence (AI) applications are transforming global businesses and financial organizations, looking at the newest artificial intelligence-based solutions for e-commerce, corporate management, finance, banking and trading, and more. Chapters look at using AI and machine learning techniques to forecast and assess financial risks such as liquidity risk, volatility risk, and credit risk. The book also describes the use of natural language processing and text mining paired with machine learning models to assist in guiding sophisticated investors and corporate managers in financial decision making. Other topics include cryptocurrency in emerging markets; the role of artificial intelligence in making a positive impact on sustainable development; the use of fintech for micro, small and medium enterprises; the role of AI i financial education; the application of artificial intelligence in cyber security; and more.

IEEE Technology and Engineering Management Society Body of Knowledge (TEMSBOK) IEEE TEMS Board of Directors-approved body of knowledge dedicated to technology and engineering management The IEEE Technology and Engineering Management Society Body of Knowledge (TEMSBOK) establishes a set of common practices for technology and engineering management, acts as a reference for entrepreneurs, establishes a basis for future official certifications, and summarizes the literature on the management field in order to publish reference documentation for new initiatives. The editors have used a template approach with authors that instructed them on how to introduce their manuscript, how to organize the technology and area fundamentals, the managing approach, techniques and benefits, realistic examples that show the application of concepts, recommended best use (focusing on how to identify the most adequate approach to typical cases), with a summary and conclusion of each section, plus a list of references for further study. The book is structured according to the following area knowledge chapters: business analysis, technology adoption, innovation, entrepreneurship, project management, digital disruption, digital transformation of industry, data science and management, and ethics and legal issues. Specific topics covered include: Market requirement analysis, business analysis for governance planning, financial analysis, evaluation and control, and risk analysis of market opportunities Leading and managing working groups, optimizing group creation and evolution, enterprise agile governance, and leading agile organizations and working groups Marketing plans for new products and services, risk analysis and challenges for entrepreneurs, and procurement and collaboration Projects, portfolios and programs, economic constraints and roles, integration management and control of change, and project plan structure The IEEE Technology and Engineering Management Society Body of Knowledge (TEMSBOK) will appeal to engineers, graduates, and professionals who wish to prepare for challenges in initiatives using new technologies, as well as managers who are responsible for conducting business involving technology and engineering.

Praise for LEARNING PRACTICAL FINTECH FROM SUCCESSFUL COMPANIES "Throughout my career I've seen the world of finance transformed by technology, from the earliest days of online lending to the current innovations happening with blockchain and cryptocurrency. I believe we're at a critical point in history where a new Internet of Value is starting to emerge, and I'm excited to see so many talented entrepreneurs tackling problems in global finance today." CHRIS LARSEN, Cofounder and Executive Chairman of Ripple "Blockchain technology is changing the way the world does business. This book offers an inside look at how institutions from all corners of financial services and other areas of commerce are collaborating with software firms like R3 to re- engineer the infrastructure that enables money, goods, and information to flow around the globe." DAVID RUTTER, Founder, Chief Executive Officer of R3 "When we think about FinTech, we often think about New York, Silicon Valley, and London, but this book tackles the awakening dragon that is Asian FinTech. Do yourself a huge favor and read this book. Asia is where the real FinTech evolution is happening." BRETT KING, Author of Augmented and BANK 4.0, Host of the Breaking Banks Radio Show, Founder of Moven

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.

This open access Pivot demonstrates how a variety of technologies act as innovation catalysts within the banking and financial services sector. Traditional banks and financial services are under increasing competition from global IT companies such as Google, Apple, Amazon and PayPal whilst facing pressure from investors to reduce costs, increase agility and improve customer retention. Technologies such as blockchain, cloud computing, mobile technologies, big data analytics and social media therefore have perhaps more potential in this industry and area of business than any other. This book defines a fintech ecosystem for the 21st century, providing a state-of-the art review of current literature, suggesting avenues for new research and offering perspectives from business, technology and industry.