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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.

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How to measure lead-lag relationships from high frequency data?.- Correlation and Interdependencies in coupled financial networks.- The Asian Economic Observatory Network (AEON) Proposal on Data-Driven Agent-Based Modeling of the Asian Economies.- On the nature of inequalities from socio-economic data.- Inequality in Societies, Academic Institutions and Science Journals: Gini and k-indices.- Relation between Total Factor Productivity and Patents of Firms.- Financial Distress Propagation in Japanese Credit Network.- Agent Based modelling of Housing Asset Bubble: a habit or subsistence utility function based investigation.- Nonlinear dynamics of stock markets during critical periods.- Probabilistic flows of inhabitants in urban areas and self-organization in housing markets.- Statistically significant fits of Hawkes processes to FX data.- Financial market reactions to exogenous shocks.- Testing Contagion in Financial Time Series.- Newton´s Revenge: the Inverse Square Law of Price Fluctuations in the Bitcoin Market.- Wealth Exchange Models with preference in interaction.- Network Analysis of Crisis in the Global Financial Network.- Can selfish rational agents achieve co-operation?.- Patterns of development: Identifying critical factors behind urban growth in the Indian context.- Long-term evolution of the interaction structure in the New York Stock Exchange 1925-2012.- Judging the impact of ´Econophysics´ through questionnaire.- Econophysics and Random Market analysis.

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