Presentation 2010-03-04
Classification of Agents' Behavior from Stock Prices in the Artificial Stock Markets consisting of Multi-agents with Evolutionary Learning by applying Estimation of Jump Markov Systems by using Particle Filters
Shozo TOKINAGA, Yosinori KISHIKAWA,
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Abstract(in English) This report delas with the classification of agents' behavior from stock prices in artificial stock markets consisting of multi-agents with evolutionary learning where we apply the state estimation of jump Markov systems by using Particle Filters (PFs). There are several works for modeling artificial stock prices by using evolutionary learning of however, these results are obtained sufficient number of simulation studies. We utilize the scheme of jump Markov system where the system behavior is switched among several state equations according to a Markov process. Then we use PFs for the estimation of state. As applications, we show the estimation of state transition of agents behaviors base on the jump Markov linear systems for artificial stock markets.
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Keyword(in English) Time series modeling / Multi-Agent-based modeling / Evolutionary learning / Jump Marrkov systems / Particle filters
Paper # SIS2009-48
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Conference Date 2010/2/25(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Classification of Agents' Behavior from Stock Prices in the Artificial Stock Markets consisting of Multi-agents with Evolutionary Learning by applying Estimation of Jump Markov Systems by using Particle Filters
Sub Title (in English)
Keyword(1) Time series modeling
Keyword(2) Multi-Agent-based modeling
Keyword(3) Evolutionary learning
Keyword(4) Jump Marrkov systems
Keyword(5) Particle filters
1st Author's Name Shozo TOKINAGA
1st Author's Affiliation Graduate School of Economics, Kyushu University()
2nd Author's Name Yosinori KISHIKAWA
2nd Author's Affiliation UBE National College of Technology
Date 2010-03-04
Paper # SIS2009-48
Volume (vol) vol.109
Number (no) 447
Page pp.pp.-
#Pages 6
Date of Issue