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Econophysics and Data Driven Modelling of Market Dynamics

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Econophysics and Data Driven Modelling of Market Dynamics
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Empirical Evidence of Market Inefficiency: Predicting Single-Stock Returns
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    Chapter 2 Calibration of a Stock’s Beta Using Option Prices
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    Chapter 3 Long-Term Evolution of the Topological Structure of Interactions Among Stocks in the New York Stock Exchange 1925–2012
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    Chapter 4 Bitcoin Dynamics: The Inverse Square Law of Price Fluctuations and Other Stylized Facts
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    Chapter 5 Are Firms that Are Awarded More Patents More Productive?
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    Chapter 6 Nonlinear Dynamics of Stock Markets During Critical Periods
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    Chapter 7 Probabilistic Flows of Inhabitants in Urban Areas and Self-organization in Housing Markets
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    Chapter 8 Performance of Inequality Indices
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    Chapter 9 A Dynamical View of Different Solution Paradigms in Two-Person Symmetric Games: Nash Versus Co-action Equilibria
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    Chapter 10 Spatio-Temporal Patterns of Development in India: Identifying Geographical Features of Growth and Urbanisation
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    Chapter 11 Physicists’ Approaches to a Few Economic Problems
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    Chapter 12 Socio-economic inequalities: a statistical physics perspective
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    Chapter 13 Judging the Impact of ‘Econophysics’ Through Response to Questionnaire
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    Chapter 14 Commentary: Influence of Econophysics Research on Contemporary Researches in Social Sciences
Attention for Chapter 5: Are Firms that Are Awarded More Patents More Productive?
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Chapter title
Are Firms that Are Awarded More Patents More Productive?
Chapter number 5
Book title
Econophysics and Data Driven Modelling of Market Dynamics
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-08473-2_5
Book ISBNs
978-3-31-908472-5, 978-3-31-908473-2
Authors

Shouji Fujimoto, Atushi Ishikawa, Takayuki Mizuno, Tsutomu Watanabe

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