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A Statistical Tool as a Decision Support in Enterprise Financial Crisis

Capitolo di libro
Data di Pubblicazione:
2019
Abstract:
The recent reform of Italian Insolvency Law introduced new instruments aimed to restore companies in financial distress and potential in bankruptcy. In particular, the Article 182-bis restructuring agreements has been introduced by the Italian Civil Code to manage company crisis. The objective of this study is to underline the ability of seven specific accounting ratios and coefficients to predict the status of financial distress of the firms. We introduce a new formula that we call M-Index indicator, and then provide an empirical analysis through a sample of Italian listed companies collected from the Milan Stock Exchange in the period 2003–2012. The results of the empirical analysis validate the predictive accuracy power of our indicator.
Tipologia CRIS:
2.1 Contributo in volume (Capitolo o Saggio)
Keywords:
Troubled debt restructuring (TDR), Accounting ratios, Financial distress, Prediction
Elenco autori:
De Luca, Francesco; Fensore, Stefania; Meschieri, Enrica
Autori di Ateneo:
DE LUCA Francesco
FENSORE STEFANIA
Link alla scheda completa:
https://ricerca.unich.it/handle/11564/701817
Titolo del libro:
Decision Economics. Designs, Models, and Techniques for Boundedly Rational Decisions
Pubblicato in:
ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING
Journal
ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING
Series
  • Dati Generali

Dati Generali

URL

https://link.springer.com/chapter/10.1007/978-3-319-99698-1_9
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