Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/113623
Title: Social networks Big Data: Personality traits as an explanatory variable in GLM models for insurance claim counts
Author: Durán Proaño, Andrés Santiago
Director: Bolancé Losilla, Catalina
Keywords: Xarxes socials
Dades massives
Assegurances
Tesis de màster
Social networks
Big data
Insurance
Masters theses
Issue Date: 2017
Abstract: In an industry such as the insurer, highly atomized and competitive, where price comparison engines allow customers to have greater control over information in decision-making; insurance companies are investing great part of their efforts to find new formulas that improve customer loyalty. In that sense, using Big Data generated from social networks such as Facebook, Twitter or YouTube, to know the policyholder’s personality, can be used as a strategy that allow companies to compete through personalized service and more competitive premiums. In this study, I analyze the framework to introduce personality as an explanatory variable in Generalized Linear Models for claims count and try to found out any empirical evidence of the relation between personality traits and insurance claims.
Note: Treballs Finals del Màster de Ciències Actuarials i Financeres, Facultat d'Economia i Empresa, Universitat de Barcelona, Curs: 2016-2017, Tutora: Catalina Bolancé Losilla
URI: http://hdl.handle.net/2445/113623
Appears in Collections:Màster Oficial - Ciències Actuarials i Financeres

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