Skip navigation
Please use this identifier to cite or link to this item: http://uvadoc.uva.es/handle/10324/30230
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorLópez Iturriaga, Félixes
dc.contributor.authorPastor Sanz, Iván-
dc.contributor.editorUniversidad de Valladolid. Facultad de Ciencias Económicas y Empresarialeses
dc.date.accessioned2018-06-21T11:54:21Z-
dc.date.available2018-06-21T11:54:21Z-
dc.date.issued2018-
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/30230-
dc.description.abstractThe number of studies trying to explain the causes and consequences of the economic and financial crises usually rises considerably after a banking crisis occurs. The dramatic effects of the most recent financial crisis on the real economy around the world call for a better comprehension of previous crises as a way to anticipate future crisis episodes. It is precisely this objective, preventing future crises, the main motivation of this PhD dissertation. We identify two important mechanisms that have failed during the latest years and that are closely related to the onset of the financial crisis: The assessment of the solvency of banks along with the systemic risk over the time, and the detection of the macroeconomic imbalances in some countries, especially in Europe, which made the financial crisis evolve through a sovereign crisis. Our dissertation is made up of three different essays, trying to go a step ahead in the knowledge of these mechanisms.es
dc.description.sponsorshipDepartamento de Economía Financiera y Contabilidades
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.subjectEquilibrio (Economía política)es
dc.subjectCiclos económicoses
dc.subjectEconomía política-Metodologíaes
dc.subjectFinanzas-Gestiónes
dc.titleThree essays on the use of neural networks for financial predictiones
dc.typeinfo:eu-repo/semantics/doctoralThesises
dc.description.degreeDoctorado en Economía de la Empresaes
dc.identifier.opacrecnumb1793413-
Appears in Collections:Tesis doctorales UVa

Files in This Item:
File Description SizeFormat 
Tesis1400180621.pdf1,93 MBAdobe PDFThumbnail
View/Open

This item is licensed under a Creative Commons License Creative Commons

Suggestions
University of Valladolid
Powered by MIT's. DSpace software, Version 5.5
UVa-STIC