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- W2368116150 abstract "This paper proposes an open model for finance forecast based on Cellular Automata, Minority Game and the complexity analysis of finance market. The investors in model are regarded as the agents in Minority Game which should select the most successful forecast strategy every simulation time step from the strategy sets defined at the beginning. And also they are modeled as cells in Cellular Automate. Each of the cells works out estimate price with local information and makes the selected strategy as its local rule. The final forecast price of model is determined by thousands of such investors. The model is open since its forecast strategy library can be extended or reconstructed to achieve more accurate forecast results. The numerical experiment results show that the mean forecast relative error is 1.73% even with a simple strategies library." @default.
- W2368116150 created "2016-06-24" @default.
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- W2368116150 date "2005-01-01" @default.
- W2368116150 modified "2023-09-25" @default.
- W2368116150 title "An Artificial Financial Market Based on Cellular Automata and Its Simulation" @default.
- W2368116150 hasPublicationYear "2005" @default.
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