Home Bias: PLS PM application on banking sector

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dc.contributor.advisor Pizzi, Claudio it_IT
dc.contributor.author Piga, Enrico <1992> it_IT
dc.date.accessioned 2017-10-09 it_IT
dc.date.accessioned 2018-04-17T13:34:27Z
dc.date.available 2019-10-23T05:36:24Z
dc.date.issued 2017-10-30 it_IT
dc.identifier.uri http://hdl.handle.net/10579/11553
dc.description.abstract This thesis aims to analyse banking sector in north-east of Italy, more precisely Cooperative Credit Banks connected with the phenomenon of Home Bias. In literature, many studies detected different causes of home bias both from a client and bank point of view, namely geographical factors related to widespread presence in small territories, cognitive errors in portfolio asset allocation caused by low diversification, political factors and costs in international financial markets. The thesis accompanies theoretical concepts with a quantitative analysis on a real dataset on which the application of Structural Equation Models, in the specific Partial Least Squared with different approaches. Furthermore, in light of heterogeneity in the dataset, we try to implement previous models in order to be in line with theory, obtaining homogeneous classes. Finally, mediating effect are considered and quantified as source deviation of relationships inside estimated model. The thesis is organised as follow. Chapter I introduces the basic concepts of Asset Allocation linked to home basis and ending with literature of possible causes. Chapter II describes banking sector and regulation in Italy. Introduction of PLS PM approach is exposed in Chapter III. Chapter IV contains the analysis of the dataset with descriptive statistics. In Chapter V PLS PM approach is applied on dataset. Heterogeneity in the dataset and the use of REBUS PLS to detect homogeneous classes are presented in Chapter VI. Chapter VII focuses on detecting possible moderating effects in PLS PM estimated on previous chapters. We conclude in Chapter VIII with comments on results and reflections. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Enrico Piga, 2017 it_IT
dc.title Home Bias: PLS PM application on banking sector it_IT
dc.title.alternative Home Bias : PLS PM application on banking sector it_IT
dc.type Bachelor Thesis it_IT
dc.degree.name Economia e finanza - economics and finance it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Economia it_IT
dc.description.academicyear 2016/2017, sessione autunnale it_IT
dc.rights.accessrights embargoedAccess it_IT
dc.thesis.matricno 856210 it_IT
dc.subject.miur SECS-S/06 METODI MATEMATICI DELL'ECONOMIA E DELLE SCIENZE ATTUARIALI E FINANZIARIE it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.provenance.upload Enrico Piga (856210@stud.unive.it), 2017-10-09 it_IT
dc.provenance.plagiarycheck Claudio Pizzi (pizzic@unive.it), 2017-10-23 it_IT


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