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Economic Foundations for Social Complexity Science

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Cover of 'Economic Foundations for Social Complexity Science'

Table of Contents

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    Book Overview
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    Chapter 1 The Economy as a Complex System
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    Chapter 2 Systemic Risks in the Evolution of Complex Social Systems
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    Chapter 3 Socioeconomic Inequality and Prospects of Institutional Econophysics
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    Chapter 4 The Evolution of Behavioural Institutional Complexity
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    Chapter 5 Agent-Based Models and Their Development Through the Lens of Networks
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    Chapter 6 Calculus-Based Econophysics with Applications to the Japanese Economy
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    Chapter 7 A Stylised Model for Wealth Distribution
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    Chapter 8 Document Analysis of Survey on Employment Trends in Japan
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    Chapter 9 Extraction of Bi-graph Structures Among Multilingual Financial Words Using Text-Mining Methods
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    Chapter 10 Transfer Entropy Analysis of Information Flow in a Stock Market
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    Chapter 11 Sectoral Co-movements in the Indian Stock Market: A Mesoscopic Network Analysis
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    Chapter 12 The Divergence Rate of Share Price from Company Fundamentals: An Empirical Study at the Regional Level
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    Chapter 13 Analyzing Relationships Among Financial Items of Banks’ Balance Sheets
Attention for Chapter 12: The Divergence Rate of Share Price from Company Fundamentals: An Empirical Study at the Regional Level
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Citations

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Chapter title
The Divergence Rate of Share Price from Company Fundamentals: An Empirical Study at the Regional Level
Chapter number 12
Book title
Economic Foundations for Social Complexity Science
Published by
Springer, Singapore, January 2017
DOI 10.1007/978-981-10-5705-2_12
Book ISBNs
978-9-81-105704-5, 978-9-81-105705-2
Authors

Michiko Miyano, Taisei Kaizoji, Miyano, Michiko, Kaizoji, Taisei

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 100%
Readers by discipline Count As %
Engineering 1 100%

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