Climate Risk Stress Test: Impact of Climate Change on the Peruvian Financial System

dc.contributor.authorRomero, Daniel
dc.contributor.authorSalinas, Juan Carlos
dc.contributor.authorTalledo, Jacqueline
dc.date.accessioned2024-07-01T20:16:05Z
dc.date.available2024-07-01T20:16:05Z
dc.date.created2024
dc.date.issued2024-06-20
dc.description.abstractWe 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.en_US
dc.description.abstractWe 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.es_ES
dc.formatapplication/pdf
dc.identifier.doihttps://doi.org/10.18800/economia.202401.003
dc.identifier.urihttps://revistas.pucp.edu.pe/index.php/economia/article/view/28990/26498
dc.language.isoeng
dc.publisherPontificia Universidad Católica del Perúes_ES
dc.publisher.countryPE
dc.relation.ispartofurn:issn:2304-4306
dc.relation.ispartofurn:issn:0254-4415
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0*
dc.sourceEconomía; Volume 47 Issue 93 (2024)es_ES
dc.subjectClimate risken_US
dc.subjectStress testingen_US
dc.subjectCMIP6en_US
dc.subjectIPCCen_US
dc.subjectHeavy rainfallen_US
dc.subjectFloodsen_US
dc.subjectDroughtsen_US
dc.subjectCredit risken_US
dc.subjectProbability of defaulten_US
dc.subjectNGFSen_US
dc.subjectClimate riskes_ES
dc.subjectStress testinges_ES
dc.subjectCMIP6es_ES
dc.subjectIPCCes_ES
dc.subjectHeavy rainfalles_ES
dc.subjectFloodses_ES
dc.subjectDroughtses_ES
dc.subjectCredit riskes_ES
dc.subjectProbability of defaultes_ES
dc.subjectNGFSes_ES
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#5.02.01
dc.titleClimate Risk Stress Test: Impact of Climate Change on the Peruvian Financial Systemen_US
dc.typeinfo:eu-repo/semantics/article
dc.type.otherArtículo

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