MURAME method for liquidity risk analysis of banks in Italy

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dc.contributor.advisor Corazza, Marco it_IT
dc.contributor.author Dallan, Veronica <1994> it_IT
dc.date.accessioned 2018-10-07 it_IT
dc.date.accessioned 2019-02-19T15:14:20Z
dc.date.available 2019-02-19T15:14:20Z
dc.date.issued 2018-11-09 it_IT
dc.identifier.uri http://hdl.handle.net/10579/13908
dc.description.abstract The thesis focuses on the analysis of banks’ liquidity risk for a sample of 40 banks operating in Italy from 2011 to 2017. We decided to consider financial institutions since they have a higher exposure to liquidity risk respect other sectors due to their role of intermediation. The intermediation role refers to the the banks’ activities of granting loans to customers and enterprises to finance their investment and consumption needs. In order to compute the analysis, the MURAME method is used. It is multicriteria decision aids (MCDA) technique which allows to consider simultaneously different factors that affect the banks’ liquidity level. The main outputs of the analysis are: ranking the banks from the best to the worst, dividing the alternatives according to homogeneous liquidity risk classes and ranking the banks inside the same class. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Veronica Dallan, 2018 it_IT
dc.title MURAME method for liquidity risk analysis of banks in Italy it_IT
dc.title.alternative MURAME method for liquidity risk analysis of banks in Italy it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Economia e finanza it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Economia it_IT
dc.description.academicyear 2017/2018, lauree sessione autunnale it_IT
dc.rights.accessrights openAccess it_IT
dc.thesis.matricno 848466 it_IT
dc.subject.miur SECS-P/09 FINANZA AZIENDALE it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend it_IT
dc.provenance.upload Veronica Dallan (848466@stud.unive.it), 2018-10-07 it_IT
dc.provenance.plagiarycheck Marco Corazza (corazza@unive.it), 2018-10-22 it_IT


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