FinTech and social nudges: a zero-cost strategy to save more and invest better?

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dc.contributor.advisor Dindo, Pietro Dino Enrico it_IT
dc.contributor.author Crevatin, Anna <1995> it_IT
dc.date.accessioned 2021-04-07 it_IT
dc.date.accessioned 2021-07-21T07:10:42Z
dc.date.issued 2021-05-12 it_IT
dc.identifier.uri http://hdl.handle.net/10579/18665
dc.description.abstract Subjective decisions and individual behavior are strongly influenced by numerous emotional aspects and cognitive limitations, which often lead to a clear gap between theoretical predictions and empirical results. FinTech services are trying to solve these problems based on nudging techniques, the set of mechanisms that, taking advantage of our limited rationality, pushes us towards more effective behaviors, in this case, financial behaviors. The key to successful nudging in asset management is to identify and target particular irrational behaviors to prevent them from recurring. So this paper begins with our cognitive bias analysis, thus all those aspects that can make us deviate from more advantageous choices. Then we will analyze the nudges adopted by FinTech services that help us to correct our mental errors in savings, investment, and financing decisions. And finally, through a short experimental analysis, we will try to understand whether social nudging could also be implemented in FinTech reality as an additional weapon to fight the mental obstacles that afflict savers in the management of their finances. All things considered, the paper aims to study FinTech and social nudges: are they the key to win our cognitive bias? it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Anna Crevatin, 2021 it_IT
dc.title FinTech and social nudges: a zero-cost strategy to save more and invest better? it_IT
dc.title.alternative FinTech and social nudges 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 2019-2020, sessione straordinaria LM it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 871746 it_IT
dc.subject.miur SECS-P/06 ECONOMIA APPLICATA 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 Anna Crevatin (871746@stud.unive.it), 2021-04-07 it_IT
dc.provenance.plagiarycheck Pietro Dino Enrico Dindo (pietro.dindo@unive.it), 2021-04-26 it_IT


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