Evolutionary Computation in Economics and Finance
(Sprache: Englisch)
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...
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Klappentext zu „Evolutionary Computation in Economics and Finance “
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, pollu- tion 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, a nd computer software.
Inhaltsverzeichnis zu „Evolutionary Computation in Economics and Finance “
1 Evolutionary Computation in Economics and Finance: An Overview of the Book2 Playing Games with Genetic Algorithms
3 Genetic Algorithm Learning and Economic Evolution
4 Using Symbolic Regression to Infer Strategies from Experimental Data
5 The Efficiency of an Artificial Double Auction Stock Market with Neural Learning Agents
6 On AIE-ASM: Software to Simulate Artificial Stock Markets with Genetic Programming
7 Exchange Rate Volatility in the Artificial Foreign Exchange Market
8 Using an Artificial Market Approach to Analyze Exchange Rate Scenarios
9 Emulating Trade in Emissions Permits: An Application of Genetic Algorithms
10 Cooperative Computation with Market Mechanism
11 Hysteresis in an Evolutionary Labor Market with Adaptive Search
12 Computable Learning, Neural Networks and Institutions
13 On Two Types of GA-Learning
14 Evolutionary Computation and Economic Models: Sensitivity and Unintended Consequences
15 Tinkering with Genetic Algorithms: Forecasting and Data Mining in Finance and Economics
16 Forecasting Ability But No Profitability: An Empirical Evaluation of Genetic Algorithm-Optimised Technical Trading Rules
17 Evolutionary Induction of Trading Models
18 Optimizing Technical Trading Strategies with Split Search Genetic Algorithms
19 GP Forecasts of Stock Prices for Profitable Trading
20 Option Pricing Via Genetic Programming
21 Evolutionary Computation in Option Pricing: Determining Implied Volatilities Based on American Put Options
22 Evolutionary Computation in Economics and Finance: A Bibliography
Bibliographische Angaben
- Autor: Shu-Heng Chen
- 2002, 2002, 460 Seiten, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Herausgegeben: Shu-Heng Chen
- Verlag: Physica-Verlag
- ISBN-10: 3790814768
- ISBN-13: 9783790814767
- Erscheinungsdatum: 27.05.2002
Sprache:
Englisch
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