Relationship between securities that make up the yield curve of the Colombian public debt market [Relación entre títulos que conforman la curva de rendimientos del mercado de deuda pública colombiano]

Based on the information of the yield curve (CR) of Colombia, it is sought to find the existing relationships between the titles that compose it; specifically sets of two or three assets; and with this analyze whether or not there are cointegration or equilibrium relations in the long term. Taking t...

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Autores:
Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad de Medellín
Repositorio:
Repositorio UDEM
Idioma:
spa
OAI Identifier:
oai:repository.udem.edu.co:11407/5683
Acceso en línea:
http://hdl.handle.net/11407/5683
Palabra clave:
Econometric Models
Fixed Income
Local TES Market
Yield Curve
Commerce
Economic analysis
Electronic trading
Information systems
Information use
Investments
Cointegration
Colombians
Econometric model
Equilibrium relations
Fixed Income
Medium term
Portfolio investment
Yield curve
Financial markets
Rights
License
http://purl.org/coar/access_right/c_16ec
Description
Summary:Based on the information of the yield curve (CR) of Colombia, it is sought to find the existing relationships between the titles that compose it; specifically sets of two or three assets; and with this analyze whether or not there are cointegration or equilibrium relations in the long term. Taking this into account, it was found that there are cointegration relations between October 18 and July 20 for the case of peer analysis and for the case of analysis of trios, a strong relationship was found between October 2018, November 2018 and July 2020. These results are obtained optimally using a Python algorithm that looks for all possible relationships between the considered assets. This algorithm is part of the contribution of this work, and also the finding and the evidence that there are cointegrated assets in the yield curve of Colombia. With this, medium-term debt portfolio investment strategies can be designed. © 2019 AISTI.