Calibración de parámetros de los modelos de tasas de interés NS y NSS para Colombia: una nota técnica

Calibration of the Nelson-Siegel (NS) model to adjust to sovereign yield curves has been found to be problematic since the model exhibits a correlation between its factors, and generates objective functions with local multiple optima. These problems are often disregarded in the Colombian market, eno...

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Bibliographic Details
Authors: Velásquez Giraldo, Mateo, Gutiérrez Betancur, Juan Carlos, Almonacid Hurtado, Paula María
Format: article
Status:Published version
Publication Date:2016
Country:Perú
Institution:Universidad ESAN
Repository:ESAN-Institucional
Language:Spanish
OAI Identifier:oai:repositorio.esan.edu.pe:20.500.12640/2607
Online Access:https://revistas.esan.edu.pe/index.php/jefas/article/view/140
https://hdl.handle.net/20.500.12640/2607
https://doi.org/10.1016/j.jefas.2016.06.003
Access Level:Open access
Keyword:Incremental search
Calibration
Sovereign yield curve
Differential evolution
Metaheuristic
Nelson-Siegel-Svensson
Búsqueda incremental
Calibración
Curva de rendimientos soberanos
Evolución diferencial
Metaheurístico
https://purl.org/pe-repo/ocde/ford#5.02.04
Description
Summary:Calibration of the Nelson-Siegel (NS) model to adjust to sovereign yield curves has been found to be problematic since the model exhibits a correlation between its factors, and generates objective functions with local multiple optima. These problems are often disregarded in the Colombian market, enough importance is not being given to the calibration process. This study aims to evaluate two non-gradient based methods for solving the non-linear least squares problem: the differential evolution metaheuristic and an incremental search procedure on the non-linear parameters. Comparisons of the results are made in terms of the achieved fit, consistency (for the metaheuristic) and the shapes obtained for the curves. The same procedure is carried out on the Nelson-Siegel-Svensson (NSS) model, evaluating the advisability of its use in the local market.