Financial Information Grid –an ESRC e-Social Science Pilot

نویسندگان

  • K. Ahmad
  • D. Cheng
  • L. Gillam
  • S. Ahmad
  • H. Traboulsi
چکیده

The large volume of time-varying quantitative and qualitative data available online is needed in a realistic simulation in theoretical econometrics from an academic perspective. And the analysis of such data is strategically important for trading in the financial markets. A distributed environment has been created that offers two services – time-serial and news analysis – using Globus and Java Commodity Grids. A demonstrator that can be used for bootstrapping and for detecting financial market ‘sentiment’ in real time is reported in this paper.

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تاریخ انتشار 2004