Mecanismo de subasta de los títulos de deuda pública – TES, una aproximación desde modelos basados en agentes

dc.contributor.advisorMonsalve Gómez, Sergio
dc.contributor.authorErazo Pazos, Andrés Javier
dc.date.accessioned2026-02-02T19:20:10Z
dc.date.available2026-02-02T19:20:10Z
dc.date.issued2025
dc.descriptionIlustraciones, gráficosspa
dc.description.abstractEl problema de investigación se sustenta en comprender si la manera en que se subastan en Colombia los títulos de deuda pública de largo plazo - TES es eficiente y maximiza el rendimiento, con el objetivo de garantizar adecuadas condiciones de financiamiento para la nación. La pregunta que inicialmente se desea responder es si la subasta holandesa (actualmente se subastan los TES mediante ese tipo de subasta) es la más eficiente, y el aporte que brinda el presente estudio es enriquecer la comprensión sobre subastas y demás mecanismos de asignación para contrastar la dinámica de las subastas bajo el usual modelo neoclásico el cual tiene como hipótesis la noción de comportamientos bajo racionalidad contra un modelo basado en agentes (rama de la teoría de economías complejas). (Texto tomado de la fuente)spa
dc.description.abstractThe research problem focuses on understanding whether the method by which long-term public debt securities (TES) are auctioned in Colombia is efficient and maximizes returns, aiming to ensure adequate financing conditions for the nation. The initial question to address is whether the Dutch auction (currently employed for TES auctions) is the most efficient mechanism. This study aims to enhance the understanding of auctions and other allocation mechanisms by contrasting the dynamics of auctions under the conventional neoclassical model—which assumes rational behavior—with an agent-based model, a branch of complex economic theory.eng
dc.description.degreelevelMaestría
dc.description.degreenameMagíster en Ciencias Económicas
dc.description.notesTesis con Mención Meritoria otorgada por el Consejo de Facultad mediante Acta número 36 del 11 de diciembre de 2025.spa
dc.description.researchareaTeoría y Política Económica
dc.format.extentxi, 150 páginas
dc.format.mimetypeapplication/pdf
dc.identifier.instnameUniversidad Nacional de Colombiaspa
dc.identifier.reponameRepositorio Institucional Universidad Nacional de Colombiaspa
dc.identifier.repourlhttps://repositorio.unal.edu.co/spa
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/89362
dc.language.isospa
dc.publisherUniversidad Nacional de Colombia
dc.publisher.branchUniversidad Nacional de Colombia - Sede Bogotá
dc.publisher.facultyFacultad de Ciencias Económicas
dc.publisher.placeBogotá, Colombia
dc.publisher.programBogotá - Ciencias Económicas - Maestría en Ciencias Económicas
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dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.licenseReconocimiento 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.bneInformación asimétrica
dc.subject.ddc330 - Economía
dc.subject.lembTeoría de los juegosspa
dc.subject.lembGame theoryeng
dc.subject.lembComplejidad computacionalspa
dc.subject.lembComputational complexityeng
dc.subject.proposalGame theory.spa
dc.subject.proposalInformación asimétrica.spa
dc.subject.proposalModelos basados en agentes.spa
dc.subject.proposalComplejidad.spa
dc.subject.proposalTeoría de juegos.spa
dc.subject.proposalAuctions.eng
dc.subject.proposalAsymmetric informationeng
dc.subject.proposalAgent-based models.eng
dc.subject.proposalComplexity.eng
dc.subject.proposalGame theory.eng
dc.titleMecanismo de subasta de los títulos de deuda pública – TES, una aproximación desde modelos basados en agentesspa
dc.title.translatedThe Auction Mechanism of Public Debt Securities (TES), An Agent-Based Modeling Approacheng
dc.typeTrabajo de grado - Maestría
dc.type.coarhttp://purl.org/coar/resource_type/c_bdcc
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.contentText
dc.type.driverinfo:eu-repo/semantics/masterThesis
dc.type.redcolhttp://purl.org/redcol/resource_type/TM
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
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