Skip to main content
Log in

Integration of artificial market simulation and text mining for market analysis

  • Focus
  • Published:
Soft Computing Aims and scope Submit manuscript

Abstract

This paper proposed a new approach that integrated an artificial market simulation and text-mining. In this approach first 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 combination of interest rate and intervention operation was effective for the stabilization of the yen–dollar rate from 1994 to 1995. This approach can offer a useful social simulation as a tool to users.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Ahmad K, Gillam L, Cheng D (2005) Textual and quantitative analysis: towards a new, e-mediated social science. In: Proceedings of the 1st International Conference on e-Social Science

  • Carley K, Diesner J, Tsvetovat M (2004) An integrated approach to the collection and analysis of network data. In: Proceedings of NAACSOS04

  • Chasen. http://chasen.naist.jp/, 2006

  • Goldberg D (1989) Genetic algorithms in search, optimization, and machine learning. Addison-Wesley, Reading

    MATH  Google Scholar 

  • Izumi K, Ueda K (2001) Phase transition in a foreign exchange market: analysis based on an artificial market approach. IEEE Trans Evol Comput 5(5):456–470

    Article  Google Scholar 

  • Seo Y-W, Giampapa JA, Sycara K (2004) Financial news analysis for intelligent portfolio management. Technical Report CMU-RI- TR-04-04, Carnegie Mellon University

  • Weka. http://www.cs.waikato.ac.nz/~ml/weka/, 2006

  • Witten IH, Frank E (2005) Data mining: practical machine learning tools and techniques, 2nd edn. Morgan Kaufmann

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kiyoshi Izumi.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Izumi, K., Matsui, H. & Matsuo, Y. Integration of artificial market simulation and text mining for market analysis. Soft Comput 11, 1199–1205 (2007). https://doi.org/10.1007/s00500-007-0173-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00500-007-0173-z

Keywords

Navigation