J-STAGE トップ  >  資料トップ  > 書誌事項

人工知能学会論文誌
Vol. 22 (2007) No. 4 P 397-404

記事言語:

http://doi.org/10.1527/tjsai.22.397

論文

We constructed an evaluation system of the self-impact in a financial market using an artificial market and text-mining technology. Economic trends were first extracted from text data circulating in the real world. Then, the trends were inputted into the market simulation. Our simulation revealed that an operation by intervention could reduce over 70% of rate fluctuation in 1995. By the simulation results, the system was able to help for its user to find the exchange policy which can stabilize the yen-dollar rate.

Copyright © 2007 JSAI (The Japanese Society for Artificial Intelligence)

記事ツール

この記事を共有