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Artículo

A Fuzzy Characterization of Uncertainty in Financial Crises

Pazzi, Jorge Horacio; Tohmé, Fernando AbelIcon
Fecha de publicación: 11/2005
Editorial: International Association for Fuzzy-Set Management and Economy
Revista: Fuzzy Economic Review
ISSN: 1136-0593
e-ISSN: 2445-4192
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Otras Economía y Negocios

Resumen

The so-called first and second generation models focus on fundamentals as the main cause of a crisis. During the 1990s many developing economies underwent structural reforms, which lead to an improvement of those fundamentals. Hence, at that time, the stability of the domestic financial systems seemed basically guaranteed. However, this confidence was shattered by the outbreak of the financial crises of the second half of the decade. Some of them were certainly due to weak fundamentals in the affected economies. But other crises seemed to be engen-dered just because of wrong or misleading perceptions on the part of economic agents. The paper argues that a main source for these misperceptions is the way in which agents hedge their funds, on the basis of their assessment of the inner workings of the financial system. To support this claim, a simple model with a fuzzy measure of the risk of assets is introduced.
Palabras clave: DOLLARIZATION , FINANCIAL CRISES , FUZZY MEASURES OF UNCERTAINTY , HEDGING , SYSTEMIC RISK
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/136215
URL: http://www.sigef.net/2014-09-26-07-16-23/summaries-and-abstracts/item/388-a-fuzz
DOI: http://dx.doi.org/10.25102/fer.2005.02.05
Colecciones
Articulos(IIESS)
Articulos de INST. DE INVESTIGACIONES ECONOMICAS Y SOCIALES DEL SUR
Citación
Pazzi, Jorge Horacio; Tohmé, Fernando Abel; A Fuzzy Characterization of Uncertainty in Financial Crises; International Association for Fuzzy-Set Management and Economy; Fuzzy Economic Review; 10; 2; 11-2005; 61-70
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