Exchange Rate Modelling Using News Articles and Economic Data

  • Debbie Zhang
  • Simeon J. Simoff
  • John Debenham
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3809)


This paper provides a framework of using news articles and economic data to model the exchange rate changes between Euro and US dollars. Many studies have conducted on the approach of regressing exchange rate movement using numerical data such as macroeconomic indicators. However, this approach is effective in studying the long term trend of the movement but not so accurate in short to middle term behaviour. Recent research suggests that the market daily movement is the result of the market reaction to the daily news. In this paper, it is proposed to use text mining methods to incorporate the daily economic news as well as economic and political events into the prediction model. While this type of news is not included in most of existing models due to its non-quantitative nature, it has important influence in short to middle terms of market behaviour. It is expected that this approach will lead to an exchange rate model with improved accuracy.


Exchange Rate Euro Area News Article Exchange Rate Regime Menu Item 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Debbie Zhang
    • 1
  • Simeon J. Simoff
    • 1
  • John Debenham
    • 1
  1. 1.Faculty of Information TechnologyUniversity of TechnologySydney

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