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Provides graduate students and practitioners in physics and economics with a better understanding of stochastic processes.
The significant amount of information available in any field requires a systematic and analytical approach to select the most critical information and anticipate major events. During the last decade, the world has witnessed a rapid expansion of applications of artificial intelligence (AI) and machine learning (ML) algorithms to an increasingly broad range of financial markets and problems. Machine learning and AI algorithms facilitate this process understanding, modelling and forecasting the behaviour of the most relevant financial variables. The main contribution of this book is the presentation of new theoretical and applied AI perspectives to find solutions to unsolved finance questions. ...
Econophysics research studies, which apply methods developed by physicists to solve problems in economics, enable you to deepen your understanding of what financial systems are and how they operate. Articles in this book identify and explain the statistical behavior of the underlying networks in trading, banking, and stock markets as well as other financial systems. Authors also debate the latest issues arising from these econophysics studies.
This book focuses on knowledge-based economies and attempts to analyze dynamic innovation driven processes within those economies. It shows that evolutionary economics, and in particular the strand of applied industry and innovation studies often called Neo-Schumpeterian economics, has left the nursery of new academic approaches and is able to offer important insights for the understanding of socio-economic processes of change and development having a strong impact on economic reality all over the world. The contributions are summarized under four major sections knowledge and cognition, studies of knowledge-based industries, the geographical dimension of knowledge-based economies and measuring and modelling for knowledge-based economies and give a broad overview of the prolific research being undertaken in applied evolutionary economics. Students will find this book an invaluable resource for future research, as will researchers seeking an introduction to new methods and perspectives of analysis.
This book explores how the biotechnology and pharmaceutical sector is affected by innovation, growth and public policy.
This book is about the relationship between firm dynamics, innovation and globalization, the processes that are essential for long term economic growth and welfare creation. This volume deals with these three issues in three sections titled respectively: entrepreneurship, new firm formation and growth; productivity-innovation-growthnexus; globalization, multinational firms and producers’ dynamics. The book presents new studies written by distinguished researchers in the field, who use state-of-the-art methodologies and extensive sources of firm- and plant-level longitudinal data to analyze and understand these major economic issues facing modern economies. In the first section, the book pr...
Governments and regional authorities often express the belief that the key to prosperity and economic expansion is related to the ability of countries to sustain regional clusters of competitiveness and innovation. The book reviews the most important conceptual approaches to the analysis of the emergence, growth and evolution of clusters of innovation. Drawing from the different experiences of industrial districts and high-tech regions such as Silicon Valley, Boston's biotech region, and Hsinchu-Taipei, the contributions in this book offer a broad interpretative framework and policy implications for the creation and strengthening of competitive clusters. Themes include: · the wide variety o...
Includes sections "Rassegna delle pubblicazioni economiche" and "Rassegna della stampa economica periodica."