Medición del riesgo de default para empresas del índice COLCAP de la bolsa de valores de Colombia

dc.contributor.advisorGómez Portilla, Karollspa
dc.contributor.advisorForero Rodríguez, Diana Elviraspa
dc.contributor.authorBernal Puerto, Andrea Maríaspa
dc.contributor.researchgroupGRIEGO (Grupo Investigación en Gestión y Organizaciones)spa
dc.date.accessioned2020-08-23T04:27:41Zspa
dc.date.available2020-08-23T04:27:41Zspa
dc.date.issued2020-02-12spa
dc.description.abstractEl Riesgo de Default abarca las pérdidas incurridas por el acreedor de una operación financiera, debido a que la contraparte o deudor de dicha operación incumple compromisos de pago, este riesgo se calcula por métodos estadísticos y precio de mercado, en este último se encuentran los modelos de Merton (1974) y Moody’s KMV de Crosbie (2003). Se utilizó el modelo Moody’s KMV de Crosbie (2003), para la evaluación del Riesgo de Default en el periodo 2014-2018 de las empresas que en 2019 integraron el índice COLCAP de la Bolsa de Valores de Colombia (BVC). El proceso de evaluación abarcó: el cálculo de probabilidades de default, la validación de los resultados con base en la función DRSK de Bloomberg e información financiera de las entidades evaluadas y, por último, las escalas de clasificación de las probabilidades de default obtenidas. La función DRSK utiliza la metodología del modelo de Merton (1974) junto a nociones derivadas del modelo de Black & Cox (1976) y desarrollos internos de Bloomberg. En el periodo observado se evidenció que ninguna empresa presentó un default; que el riesgo de default es diferenciado entre los sectores real y financiero y por otro lado entre las acciones ordinarias y preferenciales. Finalmente se encontró que el modelo Moody’s KMV de Crosbie (2003) y la función DRSK de Bloomberg no miden el riesgo de default de la misma manera, por lo que predomina la validez discriminante ante la validez convergente entre el modelo Moody’s KMV y la función DRSK de Bloomberg.spa
dc.description.abstractThe Default Risk includes the incurred losses by a financial operation´s creditor because the counterparty or debtor of the financial operation make a default to the payment commitments, that type of risk is calculated by statistical and market-price methods, the latest uses the models of Merton (1974) and Moody’s KMV of Crosbie (2003). The Moody’s KMV model from Crosbie (2003) was used to evaluate the Default Risk between 2014-2018 of the companies that in 2019 integrated the COLCAP index of the Colombian Stock Exchange (BVC). The evaluation process included: the calculation of the default probabilities, the validation of the results based on the DRSK function of the financial information vendor Bloomberg and finally, the risk classification scales for the obtained default probabilities. DRSK Function uses the Merton Model´s Methodology combined with notions of Black & Cox’s Model (Black & Cox, 1976) and Bloomberg’s Internal developments. In the period that was observed in the study: neither company presented a default situation, the default risk is differentiated between financial and real sector and as well as between ordinary and preferential equity shares. Finally, it was found that the Moody’s KMV Model and the Bloomberg´s DRSK function do not measure the risk of default in the same way, which gives way to a situation of discriminant validity that predominates over convergent validity between Moody’s KMV Model and the Bloomberg´s DRSK.spa
dc.description.additionalLínea de Investigación: Finanzasspa
dc.description.degreelevelMaestríaspa
dc.format.extent73spa
dc.format.mimetypeapplication/pdfspa
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/78185
dc.language.isospaspa
dc.publisher.branchUniversidad Nacional de Colombia - Sede Bogotáspa
dc.publisher.departmentEscuela de Administración y Contaduría Públicaspa
dc.publisher.programBogotá - Ciencias Económicas - Maestría en Administraciónspa
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dc.rightsDerechos reservados - Universidad Nacional de Colombiaspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.licenseAtribución-NoComercial-SinDerivadas 4.0 Internacionalspa
dc.rights.spaAcceso abiertospa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/spa
dc.subject.ddc658 - Gerencia generalspa
dc.subject.ddc657 - Contabilidadspa
dc.subject.ddc332 - Economía financieraspa
dc.subject.proposalMoody´s KMV Modeleng
dc.subject.proposalModelo Moody’s KMVspa
dc.subject.proposalCOLCAPspa
dc.subject.proposalCOLCAPeng
dc.subject.proposaldefault riskeng
dc.subject.proposalriesgo de defaultspa
dc.subject.proposalvalidez discriminantespa
dc.subject.proposaldiscriminant validityeng
dc.subject.proposalvalidez convergentespa
dc.subject.proposalconvergent validityeng
dc.subject.proposalrenta viablespa
dc.subject.proposalequityeng
dc.titleMedición del riesgo de default para empresas del índice COLCAP de la bolsa de valores de Colombiaspa
dc.title.alternativeMeasurement of default Risk for companies in the COLCAP index of the Colombian stock exchangespa
dc.typeTrabajo de grado - Maestríaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_bdccspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/masterThesisspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa

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