Value at Risk (VaR) and its application in structural interest risk measurement

Descripción del Articulo

This article aims to provide alternatives that improve the regulatory methodology for measuring structural interest risk for economic value. To do this, the various existing models used to measure structural interest rate risk for economic value are explored, the different metrics resulting from the...

Descripción completa

Detalles Bibliográficos
Autor: García García, Abel
Formato: artículo
Fecha de Publicación:2022
Institución:Universidad Nacional de Ingeniería
Repositorio:Revistas - Universidad Nacional de Ingeniería
Lenguaje:español
inglés
OAI Identifier:oai:oai:revistas.uni.edu.pe:article/1558
Enlace del recurso:https://revistas.uni.edu.pe/index.php/iecos/article/view/1558
Nivel de acceso:acceso abierto
Materia:Banco
Riesgo de Interés Estructural
Value at Risk
Capital Económico
Componentes Principales
Banking
Structural Interest Risk
Economic Capital
Principal Components
id REVUNI_d26bc5434bf8d3d197abbaf529dbab16
oai_identifier_str oai:oai:revistas.uni.edu.pe:article/1558
network_acronym_str REVUNI
network_name_str Revistas - Universidad Nacional de Ingeniería
repository_id_str
spelling Value at Risk (VaR) and its application in structural interest risk measurementEl Value at Risk (VaR) y su aplicación en la medición del riesgo de interés estructuralGarcía García, AbelBancoRiesgo de Interés EstructuralValue at RiskCapital EconómicoComponentes PrincipalesBankingStructural Interest RiskValue at RiskEconomic CapitalPrincipal ComponentsThis article aims to provide alternatives that improve the regulatory methodology for measuring structural interest risk for economic value. To do this, the various existing models used to measure structural interest rate risk for economic value are explored, the different metrics resulting from these models are calculated for the fifteen banks of the Peruvian financial system, and the regulatory methodolo gy is compared with the methodology Value at Risk (for the calculation of economic capital for structural interest rate risk), both in results and in procedures, evaluating the possible shortcomings that can be found in the regulatory model, as well as the possible advantages that the Value at Risk methodology of Structural interest rate risk measurement for economic value. For this reason, alternatives for improving the regulatory methodology are proposed, which are based on the search for accuracy in the distribution by maturity tranches of the balance sheet headings, the best accuracy of certain types of flows, more acidic measurements, analysis (stress scenarios, contingency plans) and the use of Value at Risk to measure economic capital for structural interest rate risk.El presente artículo pretende aportar alternativas que mejoren la metodología regulatoria de medición de riesgo de interés estructural para el valor económico. Para ello, se exploran los diversos modelos existentes utilizados para la medición del riesgo de interés estructural para el valor económico, se calculan las distintas métricas resultantes de dichos modelos para los quince bancos del sistema financiero peruano, y se compara la metodología regulatoria con la metodología Value at Risk (para el cálculo del capital económico por riesgo de interés estructural), tanto en resultados como en procedimientos, evaluando las posibles falencias que se pueden encontrar en el modelo regulatorio, así como las posibles ventajas que tendría la metodología Value at Risk de medición de riesgo de interés estructural para el valor económico. Por ello, se proponen alternativas de mejora en la metodología regulatoria, las que se basan en la búsqueda la precisión en la distribución por tramos de vencimiento de los epígrafes del balance, la mejor precisión de ciertos tipos de flujos, mediciones más ácidas, análisis adicionales (escenarios de stress, planes de contingencia) y el uso del Value at Risk para la medición del capital económico por riesgo de interés estructural.  Universidad Nacional de Ingeniería2022-11-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer ReviewedEvaluado por paresapplication/pdfaudio/mpegaudio/mpeghttps://revistas.uni.edu.pe/index.php/iecos/article/view/155810.21754/iecos.v23i1.1558revista IECOS; Vol. 23 No. 1 (2022); 35-60Revista IECOS; Vol. 23 Núm. 1 (2022); 35-602788-74802961-284510.21754/iecos.v23i1reponame:Revistas - Universidad Nacional de Ingenieríainstname:Universidad Nacional de Ingenieríainstacron:UNIspaenghttps://revistas.uni.edu.pe/index.php/iecos/article/view/1558/1970https://revistas.uni.edu.pe/index.php/iecos/article/view/1558/3229https://revistas.uni.edu.pe/index.php/iecos/article/view/1558/3230Derechos de autor 2022 Abel García Garcíahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:oai:revistas.uni.edu.pe:article/15582025-01-22T14:18:47Z
dc.title.none.fl_str_mv Value at Risk (VaR) and its application in structural interest risk measurement
El Value at Risk (VaR) y su aplicación en la medición del riesgo de interés estructural
title Value at Risk (VaR) and its application in structural interest risk measurement
spellingShingle Value at Risk (VaR) and its application in structural interest risk measurement
García García, Abel
Banco
Riesgo de Interés Estructural
Value at Risk
Capital Económico
Componentes Principales
Banking
Structural Interest Risk
Value at Risk
Economic Capital
Principal Components
title_short Value at Risk (VaR) and its application in structural interest risk measurement
title_full Value at Risk (VaR) and its application in structural interest risk measurement
title_fullStr Value at Risk (VaR) and its application in structural interest risk measurement
title_full_unstemmed Value at Risk (VaR) and its application in structural interest risk measurement
title_sort Value at Risk (VaR) and its application in structural interest risk measurement
dc.creator.none.fl_str_mv García García, Abel
author García García, Abel
author_facet García García, Abel
author_role author
dc.subject.none.fl_str_mv Banco
Riesgo de Interés Estructural
Value at Risk
Capital Económico
Componentes Principales
Banking
Structural Interest Risk
Value at Risk
Economic Capital
Principal Components
topic Banco
Riesgo de Interés Estructural
Value at Risk
Capital Económico
Componentes Principales
Banking
Structural Interest Risk
Value at Risk
Economic Capital
Principal Components
description This article aims to provide alternatives that improve the regulatory methodology for measuring structural interest risk for economic value. To do this, the various existing models used to measure structural interest rate risk for economic value are explored, the different metrics resulting from these models are calculated for the fifteen banks of the Peruvian financial system, and the regulatory methodolo gy is compared with the methodology Value at Risk (for the calculation of economic capital for structural interest rate risk), both in results and in procedures, evaluating the possible shortcomings that can be found in the regulatory model, as well as the possible advantages that the Value at Risk methodology of Structural interest rate risk measurement for economic value. For this reason, alternatives for improving the regulatory methodology are proposed, which are based on the search for accuracy in the distribution by maturity tranches of the balance sheet headings, the best accuracy of certain types of flows, more acidic measurements, analysis (stress scenarios, contingency plans) and the use of Value at Risk to measure economic capital for structural interest rate risk.
publishDate 2022
dc.date.none.fl_str_mv 2022-11-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer Reviewed
Evaluado por pares
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.uni.edu.pe/index.php/iecos/article/view/1558
10.21754/iecos.v23i1.1558
url https://revistas.uni.edu.pe/index.php/iecos/article/view/1558
identifier_str_mv 10.21754/iecos.v23i1.1558
dc.language.none.fl_str_mv spa
eng
language spa
eng
dc.relation.none.fl_str_mv https://revistas.uni.edu.pe/index.php/iecos/article/view/1558/1970
https://revistas.uni.edu.pe/index.php/iecos/article/view/1558/3229
https://revistas.uni.edu.pe/index.php/iecos/article/view/1558/3230
dc.rights.none.fl_str_mv Derechos de autor 2022 Abel García García
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2022 Abel García García
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
audio/mpeg
audio/mpeg
dc.publisher.none.fl_str_mv Universidad Nacional de Ingeniería
publisher.none.fl_str_mv Universidad Nacional de Ingeniería
dc.source.none.fl_str_mv revista IECOS; Vol. 23 No. 1 (2022); 35-60
Revista IECOS; Vol. 23 Núm. 1 (2022); 35-60
2788-7480
2961-2845
10.21754/iecos.v23i1
reponame:Revistas - Universidad Nacional de Ingeniería
instname:Universidad Nacional de Ingeniería
instacron:UNI
instname_str Universidad Nacional de Ingeniería
instacron_str UNI
institution UNI
reponame_str Revistas - Universidad Nacional de Ingeniería
collection Revistas - Universidad Nacional de Ingeniería
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1833562790377291776
score 13.905324
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).