Modelo estructural de riesgo de crédito con intensidad estocástica de covariables observables y un factor de fragilidad determinado a partir de un proceso de saltos

In this work, the parameters for the default intensity of observable covariates in the presence of an unobservable fragility factor are estimated. The observable information corresponds to the evolution In this work, the parameters for the default intensity of observable covariates in the presence o...

Full description

Autores:
Bernal Berrio, Luis Alberto
Tipo de recurso:
Work document
Fecha de publicación:
2019
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/75596
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/75596
Palabra clave:
Matemáticas::Probabilidades y matemáticas aplicadas
Intensidad de default
Proceso de Cox
Algoritmo EM
Muestreador de Gibbs
Default Intensity
Cox Process
EM Algorithm
Gibbs Sampler
Rights
openAccess
License
Atribución-NoComercial-SinDerivadas 4.0 Internacional
Description
Summary:In this work, the parameters for the default intensity of observable covariates in the presence of an unobservable fragility factor are estimated. The observable information corresponds to the evolution In this work, the parameters for the default intensity of observable covariates in the presence of an unobservable fragility factor are estimated. The observable information corresponds to the evolution of some macroeconomic variables over time, as well as the characteristic information of the individuals of a credit segment in a Colombian financial entity; a small modification to the Cox process proposed for intensity is made in Duffie et al. (2009), in order to include a jump component by means of which it is sought to describe the spontaneous clusters defaults, a program is finally implemented to estimate the parameters associated to the process for intensity by means of the EM algorithm and the Gibbs sampler.