A data model for processing financial market and news data

  • Authors:

  • Fethi A. Rabhi;Adnene Guabtni;Lawrence Yao

  • Affiliations:

  • School of Information Systems, Technology and Management, University of New South Wales, Sydney, NSW 2052, Australia.;School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia.;School of Information Systems, Technology and Management, University of New South Wales, Sydney, NSW 2052, Australia

  • Venue:
  • International Journal of Electronic Finance
  • Year:
  • 2009

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Abstract

Due to immense amounts of data being generated from financial markets in many different formats, professionals and academics face interoperability problems when analysing such data. This paper proposes a data model that gives a coherent view of the information available from financial market data repositories. The novel features of this data model include: modelling the behaviour of an electronic market as an extensible event-based class hierarchy, and using ontologies to represent financial data as a set of inter-related and meaningful events. Using this data model, we develop interoperable web services that process the data at a high level of abstraction using a Service-Oriented Architecture.