Climate Risk Stress Test: Impact of Climate Change on the Peruvian Financial System
Descripción del Articulo
We develop the first climate risk Stress Test for the Peruvian financial system following a topdown approach. Focusing on the microeconomic channel, we evaluate how heavy rainfall and droughts, under a scenario of pure physical risk, will marginally affect the probability of default (PD) of borrower...
Autores: | , , |
---|---|
Formato: | artículo |
Fecha de Publicación: | 2024 |
Institución: | Pontificia Universidad Católica del Perú |
Repositorio: | PUCP-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.pucp.edu.pe:20.500.14657/200248 |
Enlace del recurso: | https://revistas.pucp.edu.pe/index.php/economia/article/view/28990/26498 https://doi.org/10.18800/economia.202401.003 |
Nivel de acceso: | acceso abierto |
Materia: | Climate risk Stress testing CMIP6 IPCC Heavy rainfall Floods Droughts Credit risk Probability of default NGFS https://purl.org/pe-repo/ocde/ford#5.02.01 |
id |
RPUC_cdaeded38fdd58be5e6d0549d92ee540 |
---|---|
oai_identifier_str |
oai:repositorio.pucp.edu.pe:20.500.14657/200248 |
network_acronym_str |
RPUC |
network_name_str |
PUCP-Institucional |
repository_id_str |
2905 |
spelling |
Romero, DanielSalinas, Juan CarlosTalledo, Jacqueline2024-07-01T20:16:05Z2024-07-01T20:16:05Z20242024-06-20https://revistas.pucp.edu.pe/index.php/economia/article/view/28990/26498https://doi.org/10.18800/economia.202401.003We develop the first climate risk Stress Test for the Peruvian financial system following a topdown approach. Focusing on the microeconomic channel, we evaluate how heavy rainfall and droughts, under a scenario of pure physical risk, will marginally affect the probability of default (PD) of borrowers by 2050. Using information from the Credit Registry, the National Oceanic and Atmospheric Administration (NOAA), and CMIP6 precipitation projections (37 modeling groups), we calibrate the marginal impacts differentiating by economic sector and geographical location. We find that, on average, by December 2050, the probability of default of the Peruvian financial system would increase by 4.9% with respect to December 2020. By geographic area, borrowers located on the northern coast (Piura, Lambayeque) and the southern highlands (Ayacucho, Cusco) would be negatively affected by heavy rainfall, while the rainforest (Madre de Dios, Ucayali) would be negatively affected by droughts. Moreover, the economic sectors affected by heavy rainfall or droughts would be agriculture, commerce, and transportation & communications.application/pdfengPontificia Universidad Católica del PerúPEurn:issn:2304-4306urn:issn:0254-4415info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0Economía; Volume 47 Issue 93 (2024)reponame:PUCP-Institucionalinstname:Pontificia Universidad Católica del Perúinstacron:PUCPClimate riskStress testingCMIP6IPCCHeavy rainfallFloodsDroughtsCredit riskProbability of defaultNGFSClimate riskStress testingCMIP6IPCCHeavy rainfallFloodsDroughtsCredit riskProbability of defaultNGFShttps://purl.org/pe-repo/ocde/ford#5.02.01Climate Risk Stress Test: Impact of Climate Change on the Peruvian Financial Systeminfo:eu-repo/semantics/articleArtículo20.500.14657/200248oai:repositorio.pucp.edu.pe:20.500.14657/2002482025-06-11 10:55:25.669http://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessmetadata.onlyhttps://repositorio.pucp.edu.peRepositorio Institucional de la PUCPrepositorio@pucp.pe |
dc.title.en_US.fl_str_mv |
Climate Risk Stress Test: Impact of Climate Change on the Peruvian Financial System |
title |
Climate Risk Stress Test: Impact of Climate Change on the Peruvian Financial System |
spellingShingle |
Climate Risk Stress Test: Impact of Climate Change on the Peruvian Financial System Romero, Daniel Climate risk Stress testing CMIP6 IPCC Heavy rainfall Floods Droughts Credit risk Probability of default NGFS Climate risk Stress testing CMIP6 IPCC Heavy rainfall Floods Droughts Credit risk Probability of default NGFS https://purl.org/pe-repo/ocde/ford#5.02.01 |
title_short |
Climate Risk Stress Test: Impact of Climate Change on the Peruvian Financial System |
title_full |
Climate Risk Stress Test: Impact of Climate Change on the Peruvian Financial System |
title_fullStr |
Climate Risk Stress Test: Impact of Climate Change on the Peruvian Financial System |
title_full_unstemmed |
Climate Risk Stress Test: Impact of Climate Change on the Peruvian Financial System |
title_sort |
Climate Risk Stress Test: Impact of Climate Change on the Peruvian Financial System |
author |
Romero, Daniel |
author_facet |
Romero, Daniel Salinas, Juan Carlos Talledo, Jacqueline |
author_role |
author |
author2 |
Salinas, Juan Carlos Talledo, Jacqueline |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Romero, Daniel Salinas, Juan Carlos Talledo, Jacqueline |
dc.subject.en_US.fl_str_mv |
Climate risk Stress testing CMIP6 IPCC Heavy rainfall Floods Droughts Credit risk Probability of default NGFS |
topic |
Climate risk Stress testing CMIP6 IPCC Heavy rainfall Floods Droughts Credit risk Probability of default NGFS Climate risk Stress testing CMIP6 IPCC Heavy rainfall Floods Droughts Credit risk Probability of default NGFS https://purl.org/pe-repo/ocde/ford#5.02.01 |
dc.subject.es_ES.fl_str_mv |
Climate risk Stress testing CMIP6 IPCC Heavy rainfall Floods Droughts Credit risk Probability of default NGFS |
dc.subject.ocde.none.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#5.02.01 |
description |
We develop the first climate risk Stress Test for the Peruvian financial system following a topdown approach. Focusing on the microeconomic channel, we evaluate how heavy rainfall and droughts, under a scenario of pure physical risk, will marginally affect the probability of default (PD) of borrowers by 2050. Using information from the Credit Registry, the National Oceanic and Atmospheric Administration (NOAA), and CMIP6 precipitation projections (37 modeling groups), we calibrate the marginal impacts differentiating by economic sector and geographical location. We find that, on average, by December 2050, the probability of default of the Peruvian financial system would increase by 4.9% with respect to December 2020. By geographic area, borrowers located on the northern coast (Piura, Lambayeque) and the southern highlands (Ayacucho, Cusco) would be negatively affected by heavy rainfall, while the rainforest (Madre de Dios, Ucayali) would be negatively affected by droughts. Moreover, the economic sectors affected by heavy rainfall or droughts would be agriculture, commerce, and transportation & communications. |
publishDate |
2024 |
dc.date.accessioned.none.fl_str_mv |
2024-07-01T20:16:05Z |
dc.date.available.none.fl_str_mv |
2024-07-01T20:16:05Z |
dc.date.created.none.fl_str_mv |
2024 |
dc.date.issued.fl_str_mv |
2024-06-20 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.other.none.fl_str_mv |
Artículo |
format |
article |
dc.identifier.uri.none.fl_str_mv |
https://revistas.pucp.edu.pe/index.php/economia/article/view/28990/26498 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.18800/economia.202401.003 |
url |
https://revistas.pucp.edu.pe/index.php/economia/article/view/28990/26498 https://doi.org/10.18800/economia.202401.003 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.none.fl_str_mv |
urn:issn:2304-4306 urn:issn:0254-4415 |
dc.rights.es_ES.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0 |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.es_ES.fl_str_mv |
Pontificia Universidad Católica del Perú |
dc.publisher.country.none.fl_str_mv |
PE |
dc.source.es_ES.fl_str_mv |
Economía; Volume 47 Issue 93 (2024) |
dc.source.none.fl_str_mv |
reponame:PUCP-Institucional instname:Pontificia Universidad Católica del Perú instacron:PUCP |
instname_str |
Pontificia Universidad Católica del Perú |
instacron_str |
PUCP |
institution |
PUCP |
reponame_str |
PUCP-Institucional |
collection |
PUCP-Institucional |
repository.name.fl_str_mv |
Repositorio Institucional de la PUCP |
repository.mail.fl_str_mv |
repositorio@pucp.pe |
_version_ |
1836272203657641984 |
score |
13.95883 |
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).
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).