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An Analysis of Industry Sector Via Model Based Clustering

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Abstract

The paper presents an unsupervised procedure for the evaluation of the firm financial status, aiming at identifying a potentially weak level of solvency of a company through its positioning in a segmented sector. Model Based Clustering is, here, used to segment real datasets concerning sectoral samples of industrial companies listed in five European stock exchange markets.

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Author information

Authors and Affiliations

  1. Dipartimento di Impresa Culture e Società, Università di Catania, Corso Italia 55, 95129, Catania, Italy

    Carmen Cutugno

Authors
  1. Carmen Cutugno
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Correspondence to Carmen Cutugno .

Editor information

Editors and Affiliations

  1. Fac. Economia, Università di Catania, Corso Italia 55, Catania, 95129, Italy

    Salvatore Ingrassia

  2. Dipto. SEFEMEQ, Università di Roma - Tor Vergata, Via Columbia 2, Roma, 00133, Italy

    Roberto Rocci

  3. Dipto. Statistica, Probabilità e, Statistiche Applicate, Università di Roma, La Sapienza, Piazzale Aldo Moro 5, Roma, 00185, Italy

    Maurizio Vichi

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Cutugno, C. (2011). An Analysis of Industry Sector Via Model Based Clustering. In: Ingrassia, S., Rocci, R., Vichi, M. (eds) New Perspectives in Statistical Modeling and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11363-5_12

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