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.

Today, algorithms steer and inform more than 75% of modern trades. These mathematical constructs play an intricate role in automating processes, predicting market trends, optimizing portfolios, and fortifying decision-making in the financial domain. In an era where algorithms underpin the very foundation of financial services, it is imperative to hold a deep understanding of the intricate web of computational finance. Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization takes a comprehensive approach, spotlighting the fusion of artificial intelligence(AI) and algorithms in financial operations. The chapters explore the expansive landscape of algorithmic applications, from scrutinizing market trends to managing risks. The emphasis extends to AI-driven personnel selection, implementing trusted financial services, crafting recommendation systems for financial platforms, and critical fraud detection. This book serves as a vital resource for researchers, students, and practitioners. Its core strength lies in discussing AI-based algorithms as a catalyst for evolving market trends. It provides algorithmic solutions for stock markets, portfolio optimization, and robust financial fraud detection mechanisms.

Money is undoubtedly the fundamental element of the economy, and its history reflects the evolution of financial markets. Currently, we are witnessing significant technological advancements in payment methods, highlighting the potential benefits of introducing new means of economic exchange. Cryptocurrencies may emerge as a prominent form of payment in the future. Cryptocurrencies are an innovative and technologically advanced alternative to a fully globalized future. They represent a potential solution for processing payments across geographical borders. Additionally, if cryptocurrencies are effectively regulated through current adjustments, they will be able to help future generations navigate the complexities of financial transactions. Cryptocurrencies perform the same functions as traditional money, possessing attributes such as durability, divisibility, and originality. With social acceptance, they could become a legitimate means of exchange. Over the last decade or so, cryptocurrencies have gained popularity, and their importance in financial markets continues to grow. Their innovative nature has the potential to drive substantial changes and significantly impact the functioning of the global financial sector in the future. Cryptocurrencies – Financial Technologies of the Future provides knowledge, recommendations, and practical solutions to new challenges within the contemporary processes of globalization and international trade thanks to cryptocurrencies

This book presents an edited collection of chapters from academic and industry expert contributors focusing on the directions of blockchain cryptocurrency from leading authorities in their field providing the cutting-edge and timely insights in the world of cryptocurrency behaviour. Whether you are a researcher, a portfolio manager, financial adviser, or nvesting novice, this book will provide you with thought provoking perceptions and insights. It will bring you fully up to date on the consumer issues, trends, and challenges in the world of blockchain crypto behaviour equipping you to understand and meet current challenges to come. Advances in Blockchain Research and Cryptocurrency Behaviour provides an interesting and thought-provoking insight into blockchain and cryptocurrency behaviours and is fi lled with new insights into: Consumer adoption and behaviour; digital currency innovations; blockchain technology and governance; sustainability and environmental impact; branding and resilience and investing in blockchain. The culmination of many decades of investing experience and academic research, this book makes complex issues interesting and logical.

Comprehensive resource explaining how to evaluate technologies for different purposes in any industry using four different practical approaches By identifying emerging technology and application trends through analyses of published papers and patents, Future-Oriented Technology Assessment offers a comprehensive view of technology assessment structured into three different practical approaches: Technology Evaluation, Technology Roadmapping, and Technology Intelligence. The first three chapters include studies which utilize technology gap analysis, multiple criteria decision analysis, expert assessment quantification or neural networks to evaluate or forecast technology alternatives. The next four chapters use technology roadmapping, which charts a comprehensive plan for implementing technology. The final five chapters apply bibliometric analysis, patent analysis, and network analysis to identify technology trends and the leaders in the field. Additional topics covered in Future-Oriented Technology Assessment include: Smart grid technology as an alternative to fossil fuel consumption Heat pump water heaters that reduce the cost of energy and improve energy efficiency, with particular focus on research from the US and China Nanotechnology in construction in Saudi Arabia to improve heat insulation, energy efficiency, and tensile strength in green building designs With comprehensive, practical insight into evaluating emerging technologies across different industries, Future-Oriented Technology Assessment is an essential read for researchers in technology and professionals in engineering and technology management, along with professionals and graduate students in related disciplines and programs of study.

Zusammenfassung: This is an open access book. Hanoi University of Science and Technology - School of Economics and Management, University of Economics Ho Chi Minh City, University of Economics and Business - Vietnam National University, Hanoi, National Economics University - Faculty of Business and Management, The University of Danang - University of Economics, Vietnam National University - International School, Foreign Trade University, University of Hertfordshire (UK), AVSE Global (France) and PPM School of Management (Indonesia) will organize The 11th International Conference on Emerging Challenges: Smart Business and Digital Economy, Vietnam on November 3-4, 2023. We would like to invite you to be a part of the ICECH2023 and submit your research papers for presentation consideration. The aim of ICECH2023 is to provide a forum for academics and professionals to share research findings, experiences and knowledge for adaptation and business strategy in a post-Covid as well as various uncertainties and complexities in the world in the Asia-Pacific region. We welcome the submissions in Economics, Business, Innovation Management, and Business Law

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.

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