Presentation 2002/1/3
Construction and analysis of market model by use of agents' group structure
Akira HARA, Shintaro OGINO, Tomoharu NAGAO,
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Abstract(in English) With the aim of analyzing the mechanism of the stock price change, we construct an artificial stock market. The market is optimized by using a Genetic Programming so that the change of its stock price resembles that of "real" stock market statistically. In order to perform an efficient optimization and to analyze agents' behavior easily, we use ADG; Automatically Defind Groups previously proposed by the authors. In real market, the squares of change rates have high correlation, and the distribution of change rates shows high peak and fat tail. We examined the interaction of agents which causes complex changes like the real market.
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Keyword(in English) artificial market / multiagent system / genetic programming
Paper # AI2001-73
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Committee AI
Conference Date 2002/1/3(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Construction and analysis of market model by use of agents' group structure
Sub Title (in English)
Keyword(1) artificial market
Keyword(2) multiagent system
Keyword(3) genetic programming
1st Author's Name Akira HARA
1st Author's Affiliation Department of Information Processing, Tokyo Institute of Technology()
2nd Author's Name Shintaro OGINO
2nd Author's Affiliation Graduate School of Environment and Information Sciences Yokohama National University
3rd Author's Name Tomoharu NAGAO
3rd Author's Affiliation Graduate School of Environment and Information Sciences Yokohama National University
Date 2002/1/3
Paper # AI2001-73
Volume (vol) vol.101
Number (no) 536
Page pp.pp.-
#Pages 8
Date of Issue