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Managing Market Complexity

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Cover of 'Managing Market Complexity'

Table of Contents

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    Book Overview
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    Chapter 1 Managing Market Complexity
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    Chapter 2 Transformation Networks: A study of how technological complexity impacts economic performance
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    Chapter 3 Contagion and Bank Runs in a Multi-Agent Financial System
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    Chapter 4 Innovation niche stability with a short-term policy intervention
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    Chapter 5 Dynamics of probabilistic labor markets: statistical physics perspective
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    Chapter 6 Integrating the housing market into an agent-based economic model
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    Chapter 7 Inequality and Financial Markets - A Simulation Approach in a Heterogeneous Agent Model
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    Chapter 8 Risk Aversion Impact on Investment Strategy Performance: A Multi Agent-Based Analysis
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    Chapter 9 The shark game: equilibrium with bounded rationality
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    Chapter 10 A stylized model for the continuous double auction
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    Chapter 11 Sense making and information in an agent-based model of cooperation
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    Chapter 12 Comparing system-marginal-price versus pay-as-bid auctions in a realistic electricity market scenario
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    Chapter 13 Heterogeneous Learning in Bertrand Competition with Differentiated Goods
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    Chapter 14 Talent management in triadic organizational architectures
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    Chapter 15 Multi-dimensional information diffusion and balancing market supply: an agent-based approach
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    Chapter 16 Rural landscapes in turbulent times: a spatially explicit agent-based model for assessing the impact of agricultural policies
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    Chapter 17 Interactions among biases in costing systems: A simulation approach
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    Chapter 18 Initial Predictions in Learning-to-Forecast Experiment
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    Chapter 19 Small sample bias in MSM estimation of agent-based models
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Title
Managing Market Complexity
Published by
Springer Berlin Heidelberg, July 2012
DOI 10.1007/978-3-642-31301-1
ISBNs
978-3-64-231300-4, 978-3-64-231301-1
Editors

Teglio, Andrea, Alfarano, Simone, Camacho-Cuena, Eva, Ginés-Vilar, Miguel

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X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Professor > Associate Professor 1 20%
Student > Doctoral Student 1 20%
Student > Master 1 20%
Readers by discipline Count As %
Economics, Econometrics and Finance 3 60%
Business, Management and Accounting 1 20%
Environmental Science 1 20%