Methods for company in distress & empirical analysis of the bankruptcy prediction model
Carbone, Edoardo (A.A. 2021/2022) Methods for company in distress & empirical analysis of the bankruptcy prediction model. Tesi di Laurea in Business valuation, Luiss Guido Carli, relatore Marco Vulpiani, pp. 120. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Overview of the macro-economic environment in the Eurozone. The Ukrainian conflict: focus on economic aspects. Economic consequences of the war crisis on the States of the EU. Markets are being entirely driven by inflation. Italian economic situations in the first half of 2022. The perimeter and causes of corporate crises. Steps of corporate crisis. Indicators of going concern risk. Alert procedure to report the crisis. Business crisis and insolvency: the main resolution tools as an alternative to bankruptcy. The valuation methods for distress companies. Identifying the evaluation perimeter under distress conditions. Estimating the cost of capital. Intrinsic valuation. The modified DCF for companies in distressed situations. APV-Adjusted present value. Mixed method. The relative valuation: the multiples method. The changing capital structure method. The option value method. Asset based method. Empirical analysis: MLR to study the correlation between the status of Italian metal and steel companies and specific financial ratios for capital-intensive companies. Literature review: the bankruptcy prediction models. Analysis of the Italian steel sector. Empirical model hypothesis. Research methods. Research models. Results and analysis.
References
Bibliografia: pp. 106-107.
| 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: | Business valuation |
| Thesis Supervisor: | Vulpiani, Marco |
| Thesis Co-Supervisor: | Torrisi, Alfio |
| Academic Year: | 2021/2022 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 28 Mar 2023 10:45 |
| Last Modified: | 28 Mar 2023 10:45 |
| URI: | https://tesi.luiss.it/id/eprint/35456 |
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