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The new preventive alert mechanism in Italian crisis code: a statistical approach for predictive insolvent analysis

Articolo
Data di Pubblicazione:
2023
Abstract:
This paper analyses the 2020 financial statements of the SMEs in Brescia with the failure
companies list of the Court of Law of Brescia and the inactive or ceased companies by the
Brescia’s Chamber of Commerce. None of the companies in the sample failed in 2020, 2021 and
2022: this point is not enough to declare that indicators are not the right tools to predict the crisis state for the Italian SMEs.
Data also show a correlation between the presence of out of range indicators and ceased or
inactive companies. These indicators seem not to be the best tools to predict the companies’
failure, especially for the SMEs with the Italian simplified balance sheets, but in our opinion and
by analyzing data, these are a step forward for the introduction of prediction analysis and for
business management.
Tipologia CRIS:
1.1 Articolo in rivista
Elenco autori:
Brentari, Eugenio; Zanetti, Andrea; Ermici, Gloria
Autori di Ateneo:
BRENTARI Eugenio
Link alla scheda completa:
https://iris.unibs.it/handle/11379/616825
Link al Full Text:
https://iris.unibs.it/retrieve/handle/11379/616825/277164/asaproc_0012.pdf
Pubblicato in:
STATISTICA APPLICATA
Journal
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