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    • SCIENTIFIC PRODUCTION
    • Escuela de Doctorado (ESDUVa)
    • Tesis doctorales UVa
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    Por favor, use este identificador para citar o enlazar este ítem:http://uvadoc.uva.es/handle/10324/30230

    Título
    Three essays on the use of neural networks for financial prediction
    Autor
    Pastor Sanz, Iván
    Director o Tutor
    López Iturriaga, Félix JavierAutoridad UVA
    Editor
    Universidad de Valladolid. Facultad de Ciencias Económicas y EmpresarialesAutoridad UVA
    Año del Documento
    2018
    Titulación
    Doctorado en Economía de la Empresa
    Abstract
    The 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.
    Materias (normalizadas)
    Equilibrio (Economía política)
    Ciclos económicos
    Economía política-Metodología
    Finanzas-Gestión
    Departamento
    Departamento de Economía Financiera y Contabilidad
    DOI
    10.35376/10324/30230
    Idioma
    eng
    URI
    http://uvadoc.uva.es/handle/10324/30230
    Derechos
    openAccess
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    • Tesis doctorales UVa [2405]
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    Attribution-NonCommercial-NoDerivatives 4.0 InternationalExcept where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International

    Universidad de Valladolid

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