Search results

"Econophysics is an emerging interdisciplinary field that takes advantage of the concepts and methods of statistical physics to analyse economic phenomena. This book expands the explanatory scope of econophysics to the real economy by using methods from statistical physics to analyse the success and failure of companies. Using large data sets of companies and income-earners in Japan and Europe, a distinguished team of researchers show how these methods allow us to analyse companies, from huge corporations to small firms, as heterogeneous agents interacting at multiple layers of complex networks. They then show how successful this approach is in explaining a wide range of recent findings relating to the dynamics of companies. With mathematics kept to a minimum, the book is not only a lively introduction to the field of econophysics but also provides fresh insights into company behaviour"--

Econophysics is an emerging interdisciplinary field that takes advantage of the concepts and methods of statistical physics to analyse economic phenomena. This book expands the explanatory scope of econophysics to the real economy by using methods from statistical physics to analyse the success and failure of companies. Using large data sets of companies and income-earners in Japan and Europe, a distinguished team of researchers show how these methods allow us to analyse companies, from huge corporations to small firms, as heterogeneous agents interacting at multiple layers of complex networks. They then show how successful this approach is in explaining a wide range of recent findings relating to the dynamics of companies. With mathematics kept to a minimum, the book is not only a lively introduction to the field of econophysics but also provides fresh insights into company behaviour

This book presents the works and research findings of physicists, economists, mathematicians, statisticians, and financial engineers who have undertaken data-driven modelling of market dynamics and other empirical studies in the field of Econophysics. During recent decades, the financial market landscape has changed dramatically with the deregulation of markets and the growing complexity of products. The ever-increasing speed and decreasing costs of computational power and networks have led to the emergence of huge databases. The availability of these data should permit the development of models that are better founded empirically, and econophysicists have accordingly been advocating that one should rely primarily on the empirical observations in order to construct models and validate them. The recent turmoil in financial markets and the 2008 crash appear to offer a strong rationale for new models and approaches. The Econophysics community accordingly has an important future role to play in market modelling. The Econophys-Kolkata VIII conference proceedings are devoted to the presentation of many such modelling efforts and address recent developments. A number of leading researchers from across the globe report on their recent work, comment on the latest issues, and review the contemporary literature.

Introduction to the volume by Alan Kirman -- Part I Finitary methods of statistical equilibrium -- 1.Enrico Scalas, University of Sussex, "Continuum and thermodynamic limits for a wealth -- distribution stylised model" -- 2. Doyn Farmer Oxford University, Mauro Galegatti, Corrado di Guilumi and Shimon Landini, "Applications of statistical physics for rebuilding macroeconomics" -- 3. Raymond Hawkins, University of California Berkley, "Information, Inattention, and the Discount Function" -- 4. Juergen Mimkes, University of Paderborn -- 5. Hiroshi Yoshikawa, University of Tokyo/Rissho University -- 6. Yuji Aruka, Chuo University, Japan, "Aoki's Japanese textbook of stochastic economic dynamics" -- 7. Didier Sornette, ETH zurich -- 8. rank Schweitzer, ETH Zurich -- Part II Data driven analysis by econophysic -- 9. Hideaki Aoyama, Kyoto University, "Hodge decomposition of Economic Networks" -- 10. Yoshi Fujiwara, University of Hyogo, "Non -- self Averaging and Economic Network" -- 11. Yuichi Ikeda, Kyoto University, "Simple Interacting Agent Models with Reconstructed Economic Data" -- 12. Hiroshi Iyetomi, Niigata University, "Collective Phenomena in Economic Systems" -- 13. Hiroyasu Inoue, University of Hyogo, "Reactions of economy toward various disasters calculated by firm -- level simulation" -- 14. Rosario Mantegna, University of Parelmo, Eugene Stanley, Boston University -- 15. Wataru Souma, Nihon University, "Income distribution, inequality, and entropy" -- 16. Thomas Lux, University of Kiel.

The primary goal of this book is to present the research findings and conclusions of physicists, economists, mathematicians and financial engineers working in the field of "Econophysics" who have undertaken agent-based modelling, comparison with empirical studies and related investigations. Most standard economic models assume the existence of the representative agent, who is "perfectly rational" and applies the utility maximization principle when taking action. One reason for this is the desire to keep models mathematically tractable: no tools are available to economists for solving non-linear models of heterogeneous adaptive agents without explicit optimization. In contrast, multi-agent models, which originated from statistical physics considerations, allow us to go beyond the prototype theories of traditional economics involving the representative agent. This book is based on the Econophys-Kolkata VII Workshop, at which many such modelling efforts were presented. In the book, leading researchers in their fields report on their latest work, consider recent developments and review the contemporary literature

This book presents the works and research findings of physicists, economists, mathematicians, statisticians, and financial engineers who have undertaken data-driven modelling of market dynamics and other empirical studies in the field of Econophysics. During recent decades, the financial market landscape has changed dramatically with the deregulation of markets and the growing complexity of products. The ever-increasing speed and decreasing costs of computational power and networks have led to the emergence of huge databases. The availability of these data should permit the development of models that are better founded empirically, and econophysicists have accordingly been advocating that one should rely primarily on the empirical observations in order to construct models and validate them. The recent turmoil in financial markets and the 2008 crash appear to offer a strong rationale for new models and approaches. The Econophysics community accordingly has an important future role to play in market modelling. The Econophys-Kolkata VIII conference proceedings are devoted to the presentation of many such modelling efforts and address recent developments. A number of leading researchers from across the globe report on their recent work, comment on the latest issues, and review the contemporary literature

"Discusses economic networks and synchronization from the perspectives of statistical physics and complex networks"--