Manipulation and manipulation-free Performance Measures for Hedge funds

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dc.contributor.advisor Barro, Diana it_IT
dc.contributor.author Lincetti, Leonardo <1991> it_IT
dc.date.accessioned 2019-02-18 it_IT
dc.date.accessioned 2019-06-11T08:42:00Z
dc.date.available 2019-06-11T08:42:00Z
dc.date.issued 2019-03-18 it_IT
dc.identifier.uri http://hdl.handle.net/10579/14376
dc.description.abstract Performance Measures manipulation assumes a key role in the alternative investment context. Performance Measurement Manipulation consists in the managers ability to alter the performance measurement by using several techniques that do not add value to the fund, but only enhance the final bogus results. The objective of this research is to understand, through an ex-post analysis, if the performance measures analyzed, divided into manipulation and manipulation-free ones, may have been manipulated. For answering to this question, we consider hedge fund monthly returns for 11 strategies from EDHEC-risk Institute database. From these data, performance measures have been calculated and, through a rank correlation analysis, we try to highlight if fund managers have been encouraged to take advantages employing manipulable measures to alter the fund performance. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Leonardo Lincetti, 2019 it_IT
dc.title Manipulation and manipulation-free Performance Measures for Hedge funds it_IT
dc.title.alternative Manipulable and manipulation-free Performance Measures for Hedge funds it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Amministrazione, finanza e controllo it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Management it_IT
dc.description.academicyear 2017/2018, sessione straordinaria it_IT
dc.rights.accessrights openAccess it_IT
dc.thesis.matricno 839222 it_IT
dc.subject.miur MAT/04 MATEMATICHE COMPLEMENTARI it_IT
dc.description.note Master's Degree Programme Amministrazione Finanza e controllo (Business Administration) it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend it_IT
dc.provenance.upload Leonardo Lincetti (839222@stud.unive.it), 2019-02-18 it_IT
dc.provenance.plagiarycheck Diana Barro (d.barro@unive.it), 2019-03-04 it_IT


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