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Financial Performance Analysis of Scandinavian Telecommunications Companies using Statistical and Neural Networks Techniques

Adrian Costea, Tomas Eklund, Jonas Karlsson, V. Voineagu, Financial Performance Analysis of Scandinavian Telecommunications Companies using Statistical and Neural Networks Techniques. Economic Computation and Economic Cybernetics Studies and Research 4, 87–104, 2009.

Abstract:

In this paper we apply a new methodology presented in our previous work. We have two goals: to validate our methodology and, using it, to gain insights in a turbulent period in the telecommunications sector. We have obtained higher accuracy rates for the classification models than in our previous studies, and smaller differences between training and test dataset accuracy rates. The two classification techniques have performed similarly in terms of accuracy rates (decision tree, slightly better) and class predictions (multinomial logistic regression, slightly more optimistic). We have analyzed the movements of Scandinavian telecommunications companies. The results are similar to previous findings and show a strong connectivity with what had really happened to Scandinavian telecommunication companies during the second part of the last decade.

BibTeX entry:

@ARTICLE{jCoEkKaVo09a,
  title = {Financial Performance Analysis of Scandinavian Telecommunications Companies using Statistical and Neural Networks Techniques},
  author = {Costea, Adrian and Eklund, Tomas and Karlsson, Jonas and Voineagu, V.},
  journal = {Economic Computation and Economic Cybernetics Studies and Research},
  volume = {4},
  pages = {87–104},
  year = {2009},
}

Belongs to TUCS Research Unit(s): Data Mining and Knowledge Management Laboratory

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