Earnings management: the analysis of a sample of Italian companies listed on the Milan Stock Exchange

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dc.contributor.advisor Saccon, Chiara it_IT
dc.contributor.author Tanga, Ilaria <1995> it_IT
dc.date.accessioned 2020-07-15 it_IT
dc.date.accessioned 2020-09-24T12:01:51Z
dc.date.issued 2020-07-28 it_IT
dc.identifier.uri http://hdl.handle.net/10579/17528
dc.description.abstract Earnings management is a common accounting practice carried out by managers that leads to the production of financial reports, with the attempt to show stakeholders a good image of the firm’s business activities as well as of its economic and financial position. The aim of this thesis is to understand how pervasive earnings management in the Italian scenario is, by analysing a sample of Italian companies listed on the Milan Stock Exchange, respectively in the FTSE Italia Mid Cap and FTSE Italia Small Cap indexes during the years 2017-2019. Companies included in the sample belong to different sectors and therefore are able to provide a broader picture. In order to conduct the analysis, some diagnostic analysis will be put in place, such as the Beneish model. Then, the obtained results will be compared and commented. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Ilaria Tanga, 2020 it_IT
dc.title Earnings management: the analysis of a sample of Italian companies listed on the Milan Stock Exchange it_IT
dc.title.alternative Earnings management: the analysis of a sample of Italian companies listed on the Milan Stock Exchange 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 Dipartimento di Management it_IT
dc.description.academicyear 2019/2020 - Sessione Estiva it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 872257 it_IT
dc.subject.miur SECS-P/07 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 Ilaria Tanga (872257@stud.unive.it), 2020-07-15 it_IT
dc.provenance.plagiarycheck Chiara Saccon (csaccon@unive.it), 2020-07-27 it_IT


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