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: | , , |
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Formato: | artículo |
Fecha de Publicación: | 2024 |
Institución: | Pontificia Universidad Católica del Perú |
Repositorio: | Revistas - Pontificia Universidad Católica del Perú |
Lenguaje: | inglés |
OAI Identifier: | oai:ojs.pkp.sfu.ca:article/28990 |
Enlace del recurso: | http://revistas.pucp.edu.pe/index.php/economia/article/view/28990 |
Nivel de acceso: | acceso abierto |
Materia: | Climate risk Stress testing CMIP6 IPCC Heavy rainfall Floods Droughts Credit risk Probability of default NGFS |
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Climate Risk Stress Test: Impact of Climate Change on the Peruvian Financial SystemRomero, DanielSalinas, Juan CarlosTalledo, JacquelineClimate riskStress testingCMIP6IPCCHeavy rainfallFloodsDroughtsCredit riskProbability of defaultNGFSWe 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.Pontificia Universidad Católica del Perú2024-06-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://revistas.pucp.edu.pe/index.php/economia/article/view/28990Economia; Vol. 47 No. 93 (2024); 57-88Economía; Vol. 47 Núm. 93 (2024); 57-882304-43060254-4415reponame:Revistas - Pontificia Universidad Católica del Perúinstname:Pontificia Universidad Católica del Perúinstacron:PUCPenghttp://revistas.pucp.edu.pe/index.php/economia/article/view/28990/26498info:eu-repo/semantics/openAccessoai:ojs.pkp.sfu.ca:article/289902024-06-20T15:35:05Z |
dc.title.none.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 |
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 |
dc.creator.none.fl_str_mv |
Romero, Daniel Salinas, Juan Carlos Talledo, Jacqueline |
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.subject.none.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 |
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.none.fl_str_mv |
2024-06-20 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://revistas.pucp.edu.pe/index.php/economia/article/view/28990 |
url |
http://revistas.pucp.edu.pe/index.php/economia/article/view/28990 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://revistas.pucp.edu.pe/index.php/economia/article/view/28990/26498 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Pontificia Universidad Católica del Perú |
publisher.none.fl_str_mv |
Pontificia Universidad Católica del Perú |
dc.source.none.fl_str_mv |
Economia; Vol. 47 No. 93 (2024); 57-88 Economía; Vol. 47 Núm. 93 (2024); 57-88 2304-4306 0254-4415 reponame:Revistas - Pontificia Universidad Católica del Perú instname:Pontificia Universidad Católica del Perú instacron:PUCP |
instname_str |
Pontificia Universidad Católica del Perú |
instacron_str |
PUCP |
institution |
PUCP |
reponame_str |
Revistas - Pontificia Universidad Católica del Perú |
collection |
Revistas - Pontificia Universidad Católica del Perú |
repository.name.fl_str_mv |
|
repository.mail.fl_str_mv |
|
_version_ |
1846609516335988736 |
score |
13.478381 |
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).