Corporate Financial Distress: comparative accounting treatments and a predictive model for financial turmoil

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dc.contributor.advisor Saccon, Chiara it_IT
dc.contributor.author Basso, Elena <2000> it_IT
dc.date.accessioned 2024-09-28 it_IT
dc.date.accessioned 2024-11-13T12:07:44Z
dc.date.issued 2024-10-15 it_IT
dc.identifier.uri http://hdl.handle.net/10579/27598
dc.description.abstract The thesis has been developed to investigate further the field of corporate financial distress. The first chapter introduces the theoretical framework of corporate financial distress, whose definition has been long subject of debate in academic literature. The second chapter focuses on a comparative analysis of the different accounting treatments of corporate debt restructuring adopted by the US FASB, IFRS and Italian OIC. The third and final chapter presents an empirical analysis constituted by a linear regression model performed over a dataset of non-listed, Italian companies. The aim of the model is to test the relative impact different financial conditions can have over the occurrence of corporate financial distress. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Elena Basso, 2024 it_IT
dc.title Corporate Financial Distress: comparative accounting treatments and a predictive model for financial turmoil it_IT
dc.title.alternative Corporate Financial Distress: comparative accounting treatments and a predictive model for financial turmoil it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Management it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Venice School of Management it_IT
dc.description.academicyear sessione_autunnale_23-24_appello_14-10-24 it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 879470 it_IT
dc.subject.miur ECON-06/A Economia aziendale it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend 10000-01-01
dc.provenance.upload Elena Basso (879470@stud.unive.it), 2024-09-28 it_IT
dc.provenance.plagiarycheck None it_IT


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