The leverage game.

dc.contributor.MentorFraiman, Daniel
dc.creator.AutorAparicio, Diego H.
dc.date.accessioned2013-03-13T17:26:28Z
dc.date.available2013-03-13T17:26:28Z
dc.date.issued2011
dc.descriptionFil: Aparicio, Diego H.. Universidad de San Andrés. Departamento de Economía; Argentina.
dc.description.abstractThis study uses individual bank’s balance sheet data from Argentina, Brazil, Mexico, South Africa, and Taiwan, to obtain cross-correlations over the time-series leverage ratio. A correlation-based filtering procedure is then implemented to obtain leveragebased networks. Results conclude that topological properties from graph theory describe a surprising similar pattern inside the network between countries. These leverage networks are complex and are characterized by heavy-tailed vertex degree distribution, which reveals the emergence of hubs and suggests the potential scale-free nature of the system. Finally, surrogated Monte Carlo simulations confirm that the complex networks, obtained through the filtering procedure, cannot be explained by chance alone.
dc.formatapplication/pdf
dc.identifier.otherT.L. Eco. 503
dc.identifier.urihttp://hdl.handle.net/10908/774
dc.languageeng
dc.publisherUniversidad de San Andrés. Departamento de Economía
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBanks and banking -- Accounting -- Mathematical models.
dc.subjectLinkFinancial statements -- Mathematical models.
dc.subjectBancos -- Contabilidad -- Modelos matemáticos.
dc.subjectEstados financieros -- Modelos matemáticos.
dc.titleThe leverage game.
dc.typeTesis
dc.typeinfo:eu-repo/semantics/bachelorThesis
dc.typeinfo:ar-repo/semantics/tesis de grado
dc.typeinfo:eu-repo/semantics/updatedVersion
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