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ATAL
2007
Springer

Socially embedded multi agent based simulation of financial market

10 years 10 months ago
Socially embedded multi agent based simulation of financial market
This paper proposed a new approach that integrated an artificial market simulation and text-mining with real information. In this approach, economic trends were extracted from text data circulating in the real world. Then, the trends were inputted into the market simulation. The simulation could support users’ action to the actual market. This approach was used for the decision of exchange rate policy and suggested that the operation by intervention was effective for the stabilization of the yen-dollar rate in 1995. Our simulation revealed that the action rule proposed by our system could reduce over 70% of rate fluctuation. This approach can offer a useful social simulation as a tool to users. Categories and Subject Descriptors I.2.11 [Artificial Intelligence]: Distributed Artificial Intelligence—Muliagent systems; H.4.2 [Information Systems Applications]: Types of Systems—Decision support Keywords Artificial market, multi-agent simulation, text-mining, decision support ...
Kiyoshi Izumi, Hiroki Matsui, Yutaka Matsuo
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where ATAL
Authors Kiyoshi Izumi, Hiroki Matsui, Yutaka Matsuo
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