Financial ratios as an alert system to predict company’s bankruptcy: insights from the Italian insolvency code
Giordano, Chiara (A.A. 2020/2021) Financial ratios as an alert system to predict company’s bankruptcy: insights from the Italian insolvency code. Tesi di Laurea in Financial statement analysis, Luiss Guido Carli, relatore Saverio Bozzolan, pp. 61. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
The business crisis: transition between the old and the new system. The new Italian insolvency code. Alert systems. Internal alert systems: book n. 71. Company’s bankruptcy predictive models. Multivariate analysis. Altman Z-score. Alberici Z-score. Bottani, Cipriani and Serao model. Logit and probit models. Bankruptcy predictive models: an empirical analysis. Sample and data selection. Comparing models: data analysis and results. Indices analysis: which are the most performing ones? National council of chartered and accounting experts’ model.
References
Bibliografia: pp. 49-51.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree program in Corporate Finance, English language (LM-77) |
| Chair: | Financial statement analysis |
| Thesis Supervisor: | Bozzolan, Saverio |
| Thesis Co-Supervisor: | Magnanelli, Barbara Sveva |
| Academic Year: | 2020/2021 |
| Session: | Extraordinary |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 23 Aug 2022 14:11 |
| Last Modified: | 23 Aug 2022 14:11 |
| URI: | https://tesi.luiss.it/id/eprint/33002 |
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