Analysis of Thought Processes of Virtual Dealers in an Artificial Market

نویسندگان

  • Kiyoshi Izumi
  • Kazuhiro Ueda
چکیده

In this study we used a new agent-based approach, an artificial market approach, to analyze the ways that dealers process the information in financial news. Using the simulation results obtained with our model, we classified, according to the ways that agents regard the news, three categories of news data. Results of comparison with questionnaires showed that the actual dealers classify data in the same way as the virtual dealers in the model does.

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تاریخ انتشار 2001