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Evaluating corporate performance within the frame of the expert systems technology

Author

Listed:
  • Panagiotis Xidonas
  • Emmanouil Ergazakis
  • Kostas Ergazakis
  • Kostas Metaxiotis
  • John Psarras

Abstract

An expert systems methodology is presented in this article for supporting decisions that concern the evaluation of the overall corporate performance of firms, on the basis of financial analysis. The advantage of the methodology is that it provides no uniform evaluation of firms, but specialised evaluations per industry, since the firms that participate in the evaluation process are categorized in classes, with respect to their corresponding industry. In this way the major issues of time trend and competition between rival firms is achieved to be fully taken into consideration. Finally, the validity of the proposed methodology is tested through an illustrative application.

Suggested Citation

  • Panagiotis Xidonas & Emmanouil Ergazakis & Kostas Ergazakis & Kostas Metaxiotis & John Psarras, 2009. "Evaluating corporate performance within the frame of the expert systems technology," International Journal of Data Mining, Modelling and Management, Inderscience Enterprises Ltd, vol. 1(3), pages 261-290.
    • Handle: RePEc:ids:ijdmmm:v:1:y:2009:i:3:p:261-290
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    Cited by:

    1. Manolis Maragoudakis & Dimitrios Serpanos, 2016. "Exploiting Financial News and Social Media Opinions for Stock Market Analysis using MCMC Bayesian Inference," Computational Economics, Springer;Society for Computational Economics, vol. 47(4), pages 589-622, April.

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