Titlebook: Genetic Algorithms and Genetic Programming in Computational Finance; Shu-Heng Chen Book 2002 Springer Science+Business Media New York 2002

Dappled

Genetic Algorithms and Genetic Programming in Computational Finance: An Overview of the Book applications, such as forecasting, trading, and portfolio management. We then trace the recent extensions to cash flow management, option pricing, volatility forecasting, and arbitrage. The direction then turns to agent-based computational finance, a bottom-up approach to the study of financial mar

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CRUC

勛章

Oratory

Alopecia-Areata

NXCS: Hybrid Approach to Stock Indexes Forecastingenetic classifier and an associated artificial neural network. The resulting experts have been applied to stock market forecasting using technical trading rules as genetic inputs and other inputs—in particular past quotations—for the neural networks. In particular, the former are used to find quasi-

Collected

軟弱

Forecasting Market Indices Using Evolutionary Automatic Programming trading rules for market indices. A number of markets are analysed; these are the UK’s FTSE, Japan’s Nikkei, and the German DAX. The preliminary findings indicate that the methodology has much potential.