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Crisi delle PMI e strumenti di warning. Un test di verifica nel settore manifatturiero

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  • Mauro Paoloni
  • Massimiliano Celli

Abstract

Score-based models play an important role for predicting the failure of non-listed SME?s within a few years before bankruptcy, and the the reason of their success is in the fact that they are easy to understand and use easily obtainable data from both balance sheets and statements. This paper ascertains if two of such warning tools, one originally developed for U.S. firms (Z?-Score) while the other one is an adaptation of the latter to the peculiarities of the socio-economic Italian enviroment (BCS), are effectively reliable in measuring the default potential of industrial businesses in Italy. First, we have analyzed the theoretical and practical characteristics of the two models and we highlight some of its potential shortcomings. Second, we have examined a sample of 200 industrial SME?s, of which 100 companies have been subjected in the period 2005-2015 in bankruptcy proceedings because of a default, whereas the remaining 100 companies, which have been selected based on same core business, year of data collection and a comparable size of total assets, did not go bankruptcy. The models were tested by verifying, yesterday for today, whether the future health status of the businesses in the sample, and the impending business failures specifically, could have been predicted up to three years earlier and with reasonable precision using the examined models. We found that the models still work effectively and perform well in predicting failures of Italian SME?s, provided that some critical points illustrated in this study are taken into account.

Suggested Citation

  • Mauro Paoloni & Massimiliano Celli, 2018. "Crisi delle PMI e strumenti di warning. Un test di verifica nel settore manifatturiero," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2018(2), pages 85-106.
  • Handle: RePEc:fan:macoma:v:html10.3280/maco2018-002005
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    2. Stefania Vignini & Tiziana De Cristofaro, 2018. "Impatto della crisi economica su redditivit? e rischio finanziario delle imprese romagnole. Una cluster analysis," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2018(3), pages 157-181.
    3. Enrico Supino & Nicola Piras, 2022. "Le performance dei modelli di credit scoring in contesti di forte instabilit? macroeconomica: il ruolo delle Reti Neurali Artificiali," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2022(2), pages 41-61.
    4. Alberto Tron & Maurizio Dallocchio & Salvatore Ferri & Federico Colantoni, 2023. "Corporate governance and financial distress: lessons learned from an unconventional approach," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 27(2), pages 425-456, June.
    5. Velia Gabriella Cenciarelli & Marco Maria Mattei & Giulio Greco, 2020. "Pressione competitiva e previsione dell?insolvenza," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2020(3), pages 35-58.

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