Can a quantitative approach be mitigated? Proposals for the application of the "early warnings" required by the new Italian Insolvency Code

Author:

Bava Fabrizio,Cane Massimo,di Trana Melchior Gromis

Abstract

In compliance with European regulations, the new Italian "Insolvency Code" introduced new tools to prevent future financial crises in businesses ("early warn-ings"). Their aim is to highlight future insolvency issues, to enable timely action in order to avert the potential crisis for as long as possible.V This mechanism will come into force on 15 August 2020. Based on a previous investigation that identified the most sensitive financial ratios for evaluating a go-ing concern, this study proposes and tests a possible approach which combines generic quantitative indicators with a case-by-case solution. A discriminant analysis was made on a pairwise sample of Italian non-listed small and medium-sized companies (SMEs). The proposed model overcomes the problem that arose from a combined interpretation of the indicators, and also it acts as a tool that can deter-mine the level of risk within each situation. This approach aims to limit the rigidity produced by common quantitative thresholds, thereby reducing false positives and negatives, ensuring an automatic reporting process that can preserve the efficiency of the early warning mechanism. Furthermore, our proposal is better suited to SMEs, since it is based on financial statements rather than forecasts.

Publisher

Franco Angeli

Reference40 articles.

1. Altman E.I. (1968), Financial ratios, discriminant analysis and the prediction of corporate bankruptcy, The Journal of Finance, 23(4), pp. 589-609.

2. Corporate Financial Distress and Bankruptcy

3. Altman E.I., Danovi A., Falini A. (2013), Z-Score Models’ application to Italian companies subject to extraordinary administration, Journal of Applied Finance (Formerly Financial Practice and Education), 23(1).

4. Altman E.I., Iwanicz-Drozdowska M., Laitinen E.K., Suvas A. (2014), Distressed Firm and Bankruptcy Prediction in an International Context: A review and empirical analysis of Altman's Z-score model, Journal of International Financial Management & Accounting, 28(2), pp. 131-171.

5. Altman E.I., Sabato G. (2007), Modelling credit risk for SMEs: Evidence from the U.S. market, Abacus, 43(3), pp. 332-357,

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