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Managing Market Complexity : The Approach of Artificial Economics / edited by Andrea Teglio, Simone Alfarano, Eva Camacho-Cuena, Miguel Ginés-Vilar

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerLink Bücher | Lecture notes in economics and mathematical systems ; 662Publisher: Berlin, Heidelberg : Springer, 2013Description: Online-Ressource (XX, 247 p. 73 illus, digital)ISBN:
  • 9783642313011
Subject(s): Additional physical formats: 9783642313004 | Buchausg. u.d.T.: Managing market complexity. Berlin : Springer, 2012. XX, 247 S.DDC classification:
  • 330.1
MSC: MSC: *91-06 | 00B15 | 91B06 | 91B26 | 91B69 | 91B50 | 91A40 | 91G80 | 90B70 | 90B50RVK: RVK: QC 130LOC classification:
  • HB1-846.8
DOI: DOI: 10.1007/978-3-642-31301-1Online resources:
Contents:
Managing Market Complexity; The Approach of Artificial Economics; Preface; Acknowledgements; Contents; List of Contributors; Part I Networks; Chapter 1 Comparing Traffic Discrimination Policies in an Agent-Based Next-Generation Network Market; 1.1 Introduction; 1.2 Network neutrality and traffic discrimination; 1.3 An agent-based simulation model of traffic management in all-IP networks; 1.3.1 Consumer behaviour; 1.3.2 Provider strategies; 1.4 Simulation and experimental design; 1.5 Results; 1.6 Conclusion; References
Chapter 2 Transformation Networks: A study of how technological complexity impacts economic performance2.1 Introduction; 2.2 Resource-Based Agents and Transformation Networks; 2.3 Experimental Setup; 2.4 Results and Discussion; 2.4.1 Results; 2.4.2 Discussion; 2.5 Conclusion; References; Chapter 3 Contagion and Bank Runs in a Multi-Agent Financial System; 3.1 Introduction; 3.2 The model; 3.2.1 The financial network; 3.2.2 The banking system; 3.2.3 Depositors' behavior; 3.2.4 Liquidity transfers and bank's bankruptcy; 3.2.5 Withdrawals and contagion spread; 3.3 Network structures
3.3.1 Complete interbank market3.3.2 Incomplete interbank markets; 3.4 Simulations; 3.4.1 Simulation settings; 3.4.2 Results; 3.5 Conclusions; References; Chapter 4 Innovation niche stability with a short-term policy intervention; 4.1 Introduction; 4.2 Sketching the theoretical background; 4.3 The model specification; 4.3.1 The expectation mechanism; 4.3.2 The power mechanism; 4.3.3 The knowledge mechanism; 4.3.4 Agents of change: modelling policy action; 4.4 Preliminary findings; 4.5 Conclusions; References; Part II Macroeconomics
Chapter 5 Dynamics of probabilistic labor markets: statistical physics perspective5.1 Introduction; 5.2 Model systems; 5.3 Non-linear map for the aggregation probability; 5.4 Ranking frozen line; 5.5 Global mismatch measurement; 5.6 Aggregation probability at 'high temperature'; 5.6.1 The high temperature expansion; 5.6.2 Analytic solution for unemployment rate; 5.7 Summary; Acknowledgement; References; Chapter 6 Integrating the housing market into an agent-based economic model; 6.1 Introduction; 6.2 The artificial economy; 6.2.1 Consumption and the wealth effect; 6.3 The housing market
6.3.1 Supply and demand formation6.3.2 Housing market matching; 6.3.3 Financing of housing; 6.4 Analysis of results; 6.5 Concluding remarks; Acknowledgements; References; Part III Finance; Chapter 7 Inequality and Financial Markets - A Simulation Approach in a Heterogeneous Agent Model; 7.1 Introduction; 7.2 The Model; 7.3 Simulation Results; 7.3.1 A Theoretical Primer for the Static Version; 7.3.2 The Role of the Behavioral Consumption Function; 7.3.3 The Effect of Income Inequality on Macroeconomic and Financial Stability; 7.4 Outlook; References
Chapter 8 Risk Aversion Impact on Investment Strategy Performance: A Multi Agent-Based Analysis
Summary: Preface -- Part I: Networks -- Part II: Macroeconomics -- Part III: Finance -- Part IV: Industrial Organization -- Part V: Management -- Part VI: Methodological IssuesSummary: The field of artificial economics (AE) embraces a broad range of methodologies relying on computer simulations in order to model and study the complexity of economic and social phenomena. The overarching principle of AE is the analysis of aggregate properties of artificial economies populated by adaptive agents that are equipped with behavioural rules and specific individual targets. These aggregate properties are neither foreseen nor intended by the artificial agents; conversely they are emerging characteristics of such artificially simulated systems. The book presents a peer-reviewed collection of papers addressing a variety of issues related to macroeconomics, industrial organization, networks, management and finance, as well as purely methodological issuesPPN: PPN: 1651852642Package identifier: Produktsigel: ZDB-2-SBE
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