The Pooled Approach for LGD estimation

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dc.contributor.advisor Billio, Monica it_IT
dc.contributor.author Mapelli, Beatrice <1994> it_IT
dc.date.accessioned 2019-02-17 it_IT
dc.date.accessioned 2019-06-11T08:43:48Z
dc.date.issued 2019-03-13 it_IT
dc.identifier.uri http://hdl.handle.net/10579/14815
dc.description.abstract The aim of the elaborate is to present the advantages and disadvantages of the Pooled Approach for the estimation of the Loss Given Default (LGD). The parameter estimates the percentage of loss to be associated with the single relations on the basis of the information observed during the entire period from the date of entry to the end of the suffering date. Firstly, the document presents an historical excursus concerning the regulatory environment for banks and financial institutions. The presentation starts from the foundation of the Basel Committee in order to conclude with the very recent proposal known as Basel IV, describing the specific requirements to own-LGD estimates, according to the Article 181 of the Capital Requirements Regulation (CRR). Furthermore, during the paper a Loss Given Default (work-out type) Model will be developed following the Pooled Approach, based on data contributed by a pool of banks. At the end of the work a comparison between the Bank Specific Approach and the Pooled Approach, that will underline pros and cons of the two, will be presented. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Beatrice Mapelli, 2019 it_IT
dc.title The Pooled Approach for LGD estimation it_IT
dc.title.alternative The Pooled Approach for Loss Given Default Estimation 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, sessione straordinaria it_IT
dc.rights.accessrights openAccess it_IT
dc.thesis.matricno 865744 it_IT
dc.subject.miur SECS-S/03 STATISTICA ECONOMICA it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.provenance.upload Beatrice Mapelli (865744@stud.unive.it), 2019-02-17 it_IT
dc.provenance.plagiarycheck Monica Billio (billio@unive.it), 2019-03-04 it_IT


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