Complexity in Financial Markets

Complexity in Financial Markets

Author: Matthieu Cristelli

Publisher: Springer Science & Business Media

Published: 2013-08-28

Total Pages: 223

ISBN-13: 3319007238

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Tools and methods from complex systems science can have a considerable impact on the way in which the quantitative assessment of economic and financial issues is approached, as discussed in this thesis. First it is shown that the self-organization of financial markets is a crucial factor in the understanding of their dynamics. In fact, using an agent-based approach, it is argued that financial markets’ stylized facts appear only in the self-organized state. Secondly, the thesis points out the potential of so-called big data science for financial market modeling, investigating how web-driven data can yield a picture of market activities: it has been found that web query volumes anticipate trade volumes. As a third achievement, the metrics developed here for country competitiveness and product complexity is groundbreaking in comparison to mainstream theories of economic growth and technological development. A key element in assessing the intangible variables determining the success of countries in the present globalized economy is represented by the diversification of the productive basket of countries. The comparison between the level of complexity of a country's productive system and economic indicators such as the GDP per capita discloses its hidden growth potential.


Complex Systems in Finance and Econometrics

Complex Systems in Finance and Econometrics

Author: Robert A. Meyers

Publisher: Springer Science & Business Media

Published: 2010-11-03

Total Pages: 919

ISBN-13: 1441977007

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Finance, Econometrics and System Dynamics presents an overview of the concepts and tools for analyzing complex systems in a wide range of fields. The text integrates complexity with deterministic equations and concepts from real world examples, and appeals to a broad audience.


Complexity, Risk, and Financial Markets

Complexity, Risk, and Financial Markets

Author: Edgar E. Peters

Publisher: John Wiley & Sons

Published: 2001-06-06

Total Pages: 241

ISBN-13: 0471437093

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Patterns in the Dark is that rare book that offers an entirely new perspective on an issue of ongoing concern to investors: the unpredictability of financial markets. In this groundbreaking work, leading investment strategist and authority on chaos theory, Edgar Peters makes accessible ways of understanding market behavior that-until now-were known only to specialists. Patterns in the Dark draws on a broad range of human knowledge and experience to clarify the behavior of a system that now operates on a global, 24-hour, and thoroughly interconnected basis. Peters illuminates the complex operation of the marketplace by including keen observations drawn from science, mathematics, and artistic creation as well as economics. His models include the social visions of the Austrian economists, Darwinian ideas of evolution, the laws of physics, and the creative risks of the artist. His meditations on financial markets weigh the effects of limitations vs. rules, risks vs. uncertainty, and order vs. chaos. As a guide to a world marketplace that has become increasingly complex and uncertain, Patterns in the Dark offers the investor a rich source of insight, illumination, and wisdom.


Introduction to Econophysics

Introduction to Econophysics

Author: Rosario N. Mantegna

Publisher: Cambridge University Press

Published: 1999-11-13

Total Pages: 164

ISBN-13: 1139431226

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This book concerns the use of concepts from statistical physics in the description of financial systems. The authors illustrate the scaling concepts used in probability theory, critical phenomena, and fully developed turbulent fluids. These concepts are then applied to financial time series. The authors also present a stochastic model that displays several of the statistical properties observed in empirical data. Statistical physics concepts such as stochastic dynamics, short- and long-range correlations, self-similarity and scaling permit an understanding of the global behaviour of economic systems without first having to work out a detailed microscopic description of the system. Physicists will find the application of statistical physics concepts to economic systems interesting. Economists and workers in the financial world will find useful the presentation of empirical analysis methods and well-formulated theoretical tools that might help describe systems composed of a huge number of interacting subsystems.


Complexity and the Economy

Complexity and the Economy

Author: W. Brian Arthur

Publisher: Oxford University Press, USA

Published: 2015

Total Pages: 241

ISBN-13: 0199334293

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A collection of previous published papers by the author on the subject of complexity economics, appearing from the 1980s to the present.


The Science Of Financial Market Trading

The Science Of Financial Market Trading

Author: Don K Mak

Publisher: World Scientific

Published: 2003-03-19

Total Pages: 261

ISBN-13: 9814486841

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In this book, Dr Mak views the financial market from a scientific perspective. The book attempts to provide a realistic description of what the market is, and how future research should be developed. The market is a complex phenomenon, and can be forecasted only with errors — if that particular market can be forecasted at all.The book reviews the scientific literatures on the financial market and describes mathematical procedures which demonstrate that some markets are non-random. How the markets are modeled — phenomenologically and from first principle — is explained.It discusses indicators, which are quite objective, rather than price patterns, which are rather subjective. Similarities between indicators in market trading and operators in mathematics are noted, and particularly, between oscillator indicators and derivatives in Calculus. It illustrates why some indicators, e.g., Stochastics, have limited usage. Several new indicators are designed and tested on theoretical waveforms to check their validity and applicability. The indicators have a minimal time lag, which is significant for trading purposes. Common market behaviors like divergences between price and momentum are explained. A skipped convolution technique is introduced to allow traders to pick up market movements at an earlier time. The market is treated as a nonlinear phenomenon. Forecasting of when the market is going to turn is emphasized.


Why Stock Markets Crash

Why Stock Markets Crash

Author: Didier Sornette

Publisher: Princeton University Press

Published: 2017-03-21

Total Pages: 449

ISBN-13: 1400885094

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The scientific study of complex systems has transformed a wide range of disciplines in recent years, enabling researchers in both the natural and social sciences to model and predict phenomena as diverse as earthquakes, global warming, demographic patterns, financial crises, and the failure of materials. In this book, Didier Sornette boldly applies his varied experience in these areas to propose a simple, powerful, and general theory of how, why, and when stock markets crash. Most attempts to explain market failures seek to pinpoint triggering mechanisms that occur hours, days, or weeks before the collapse. Sornette proposes a radically different view: the underlying cause can be sought months and even years before the abrupt, catastrophic event in the build-up of cooperative speculation, which often translates into an accelerating rise of the market price, otherwise known as a "bubble." Anchoring his sophisticated, step-by-step analysis in leading-edge physical and statistical modeling techniques, he unearths remarkable insights and some predictions--among them, that the "end of the growth era" will occur around 2050. Sornette probes major historical precedents, from the decades-long "tulip mania" in the Netherlands that wilted suddenly in 1637 to the South Sea Bubble that ended with the first huge market crash in England in 1720, to the Great Crash of October 1929 and Black Monday in 1987, to cite just a few. He concludes that most explanations other than cooperative self-organization fail to account for the subtle bubbles by which the markets lay the groundwork for catastrophe. Any investor or investment professional who seeks a genuine understanding of looming financial disasters should read this book. Physicists, geologists, biologists, economists, and others will welcome Why Stock Markets Crash as a highly original "scientific tale," as Sornette aptly puts it, of the exciting and sometimes fearsome--but no longer quite so unfathomable--world of stock markets.


Complex Systems Modeling and Simulation in Economics and Finance

Complex Systems Modeling and Simulation in Economics and Finance

Author: Shu-Heng Chen

Publisher: Springer

Published: 2018-11-20

Total Pages: 308

ISBN-13: 331999624X

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This title brings together frontier research on complex economic systems, heterogeneous interacting agents, bounded rationality, and nonlinear dynamics in economics. The book contains the proceedings of the CEF2015 (21st Computing in Economics in Finance), held 20-22 June 2015 in Taipei, Taiwan, and addresses some of the important driving forces for various emergent properties in economies, when viewed as complex systems. The breakthroughs reported in this book are a result of an interdisciplinary approach and simulation remains the unifying theme for these papers as they deal with a wide range of topics in economics. The text is a valuable addition to the efforts in promoting the complex systems view in economic science. The computational experiments reported in the book are both transparent and replicable. Complex System Modeling and Simulation in Economics and Finance is useful for graduate courses of complex systems, with particular focus on economics and finance. At the same time it serves as a good overview for researchers who are interested in the topic.