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Titlebook: Evolutionary Computation in Economics and Finance; Shu-Heng Chen Book 2002 Springer-Verlag Berlin Heidelberg 2002 Finance.agents.algorithm

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书目名称Evolutionary Computation in Economics and Finance
编辑Shu-Heng Chen
视频video
概述First book focusing on the application of evolutionary computation to economics and finance.Historical review (chap. 1).Brief survey with bibliography (more than 380 papers ever published in this fiel
丛书名称Studies in Fuzziness and Soft Computing
图书封面Titlebook: Evolutionary Computation in Economics and Finance;  Shu-Heng Chen Book 2002 Springer-Verlag Berlin Heidelberg 2002 Finance.agents.algorithm
描述After a decade‘s development, evolutionary computation (EC) proves to be a powerful tool kit for economic analysis. While the demand for this equipment is increasing, there is no volume exclusively written for economists. This volume for the first time helps economists to get a quick grasp on how EC may support their research. A comprehensive coverage of the subject is given, that includes the following three areas: game theory, agent-based economic modelling and financial engineering. Twenty leading scholars from each of these areas contribute a chapter to the volume. The reader will find himself treading the path of the history of this research area, from the fledgling stage to the burgeoning era. The results on games, labour markets, pollution control, institution and productivity, financial markets, trading systems design and derivative pricing, are new and interesting for different target groups. The book also includes informations on web sites, conferences, and computer software.
出版日期Book 2002
关键词Finance; agents; algorithms; computational economics; control; economics; evolution; evolutionary computati
版次1
doihttps://doi.org/10.1007/978-3-7908-1784-3
isbn_softcover978-3-7908-2512-1
isbn_ebook978-3-7908-1784-3Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
copyrightSpringer-Verlag Berlin Heidelberg 2002
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Maciej Turala,Dorota Sikora-Fernandezto simple models that adopt evolutionary dynamics can engender radically different emergent properties. This gives cause for concern when modeling complex systems, such as stock markets, where the emergent behavior depends on the collective allocation of resources of many purpose-driven agents.
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Exchange Rate Volatility in the Artificial Foreign Exchange Marketne of the currencies and that currency’s eventual collapse. Addition of the rules that evolve the portfolio fractions directly brings in persistent volatility of the exchange rate that resembles the actual exchange rates time series.
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Kerstin Martens,Klaus Dieter Wolfcept of evolutionary stability of genetic populations will be developed. Thus, in a second part of the paper, it becomes possible to explain both, the reasons for the specific dynamics of standard GA learning models and the different kind of dynamics of GA learning models which use extensions to the standard GA.
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