Chen / Kao / Venkatachalam | Complex Systems Modeling and Simulation in Economics and Finance | E-Book | sack.de
E-Book

E-Book, Englisch, 307 Seiten, eBook

Reihe: Springer Proceedings in Complexity

Chen / Kao / Venkatachalam Complex Systems Modeling and Simulation in Economics and Finance


1. Auflage 2018
ISBN: 978-3-319-99624-0
Verlag: Springer International Publishing
Format: PDF
 Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 307 Seiten, eBook

Reihe: Springer Proceedings in Complexity

ISBN: 978-3-319-99624-0
Verlag: Springer International Publishing
Format: PDF
 Kopierschutz: 1 - PDF Watermark

This title   brings together frontier research on complex economic systems, heterogeneous interacting agents, bounded rationality, and nonlinear dynamics in economics. The book contains the proceedings of the CEF2015 (21st Computing in Economics in Finance), held 20-22 June 2015 in Taipei, Taiwan, and addresses some of the important driving forces for various emergent properties in economies, when viewed as complex systems. The breakthroughs reported in this book are a result of an interdisciplinary approach and simulation remains the unifying theme for these papers as they deal with a wide range of topics in economics. The text is a valuable addition to the efforts in promoting the complex systems view in economic science. The computational experiments reported in the book are both transparent and replicable. Complex System Modeling and Simulation in Economics and Finance  is useful for graduate courses of complex systems, with particular focuson economics and finance. At the same time it serves as a good overview for researchers who are interested in the topic.
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Zielgruppe

Research

Autoren/Hrsg.

Chen, Shu-Heng
Kao, Ying-Fang
Venkatachalam, Ragupathy
Du, Ye-Rong

Weitere Infos & Material

Agent-Based Macro Models.- Laboratory Experiments.- Expectations and Learning.- The Cross-Strait: Computational and Behavioral Approach to Economics.-  Quantitative Finance.- Theory of Heterogeneous Agents.- Modelling Economic Networks.- Computational Methods.- Agent-Based Models and Policy Design.- Agent-Based Models: Econometric issues and Validation.- Machine Learning in Finance.- Systemic Risks and Network Resilience.- House Prices and Mortgage Debt.- Dynamics of limit order markets.- Asset pricing and portfolio optimization.- Measuring risks in financial assets.

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