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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

The primary goal of the book is to present the ideas and research findings of active researchers such as physicists, economists, mathematicians and financial engineers working in the field of "Econophysics," who have undertaken the task of modelingand analyzing systemic risk, network dynamics and other topics. Of primary interest in these studies is the aspect of systemic risk, which has long been identified as a potential scenario in which financial institutions trigger a dangerous contagion mechanism, spreading from the financial economy to the real economy. This type of risk, long confined to the monetary market, has spread considerably in the recent past, culminating in the subprime crisis of 2008. As such, understanding and controlling systemic risk has become an extremely important societal and economic challenge. The Econophys-Kolkata VI conference proceedings are dedicated to addressing a number of key issues involved. Several leading researchers in these fields report on their recent work and also review contemporary literature on the subject

The latest cutting-edge research on market microstructure Based on the December 2010 conference on market microstructure, organized with the help of the Institut Louis Bachelier, this guide brings together the leading thinkers to discuss this important field of modern finance. It provides readers with vital insight on the origin of the well-known anomalous "stylized facts" in financial prices series, namely heavy tails, volatility, and clustering, and illustrates their impact on the organization of markets, execution costs, price impact, organization liquidity in electronic markets, and other.

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.

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

1 -- Acep Purqon, Group identification Analysis using Hybrid Method ( (RMT-CN-LPAm+ and RMT-BDM-SA) in Indonesian Stock Market Dynamics 2 -- Alejandro R. H. Montoya, A New Method and new variables to assess symmetry of financial returns time series 3 -- Ananya Lahiri, Fractional Brownian markets with time-varying volatility and high-frequency data 4 -- Andreas Flache, Social integration in a diverse society: social complexity models of the link between segregation and the dynamics of opinion polarization 5 -- Anindya S. Chakarabarti, Executive compensation structure: A spectral graph theoretic formulation 6.-Aparna Mehra, Copula Theory in Portfolio Optimization 7 -- Aparna Sawhney, Tracking Energy Efficiency of the Indian Iron and Steel Industry 8 -- Bikas K. Chakrabarti, Fat tailed distributions for deaths in conflicts and disasters 9 -- Bruce M. Boghosian, Criticality and Duality in an Asset-Exchange Model of Inequality 10 -- Cheong Siew Ann, From the Knowledge of Physics to the Physics of Knowledge 11 -- Damien Challet, Empirical properties of the opening and closing auctions of US equities 11 -- Dipyaman Sanyal, Effect of Tobin Tax in an Experimental Minority Game Market 12 -- Frédéric Abergel, Optimal placement of limit orders in order-driven markets 13 -- Ioane Muni Toke, Estimation of ratios of intensities in a Cox-type model of limit order books 14 -- Irena Vodenska, Network-based modeling of systemic risk propagation in global financial systems 15 -- Kiran Sharma, Financial Market "States": correlations & complexity 16 -- Kousik Guhathakurta, How closely are the Asia Pacific market related to the developed market: a network analysis, 17 -- M. S. Santhanam, Extreme events in time series and on networks 18 -- Nils Bertschinger, Volatility dynamics: Towards early warning signs of financial turmoil?19 -- Pradeep Bhadola, Spectral and Network analysis of financial systems 20 -- Rituparna Sen, High Dimensionality Effects on the Efficient Frontier 21 -- Sanjay Jain, Network anatomy of innovation: Growth and creative destruction in an evolutionary model 22 -- Soumya Datta, Exchange rate dynamics under limited arbitrage and heterogeneous expectations 23 -- Sujoy Chakravarty, Experimantal analysis of The Kolkata Paise Restaurant Problem 24 -- Sunil Kumar, Effect of Crisis on the structure and Dynamics of the Indian Financial Network 25 -- Taisei Kaizoji, Efficiency of Bitcoin Market and Prediction of Bitcoin Price Movements

Discusses several models of limit order books and introduces general, flexible, open source library, useful to readers in studying trading strategies in an open-driven market--Provided by publisher