Default risk in agricultural lending, the effects of commodity price volatility and climate

Purpose – Commodity price volatility and small variations in climate conditions may have an important impact on the creditworthiness of any agricultural project. The evolution of such risk factors is vital for the credit risk analysis of a rural bank. The purpose of this paper is to determine the im...

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Autores:
Tipo de recurso:
Fecha de publicación:
2014
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/23907
Acceso en línea:
https://doi.org/10.1108/AFR-10-2013-0036
https://repository.urosario.edu.co/handle/10336/23907
Palabra clave:
Climate risk
Credit risk
Rural banks
Rights
License
Abierto (Texto Completo)
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oai_identifier_str oai:repository.urosario.edu.co:10336/23907
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling 79947917600c7905229-ffec-4e1b-8c26-43e2619d13eb-12020-05-26T00:06:33Z2020-05-26T00:06:33Z2014Purpose – Commodity price volatility and small variations in climate conditions may have an important impact on the creditworthiness of any agricultural project. The evolution of such risk factors is vital for the credit risk analysis of a rural bank. The purpose of this paper is to determine the importance of price volatility and climate factors within a default risk model. Design/methodology/approach – The authors estimate a generalized linear model (GLM) based on a structural default risk model. With the estimated factor loadings, the authors simulate the loss distribution of the portfolio and perform stress test to determine the impact of the relevant risk factors on economic capital. Findings – The results indicate that both the price volatility and climate factors are statistically significant; however, their economic significance is smaller compare to other factors that the authors control for: macroeconomic conditions for the agricultural sector and intermediate input prices. Research limitations/implications – The analysis of non-systemic risk factors such as price volatility and climate conditions requires statistical methods focussed on measuring causal effects at higher quantiles, not just at the conditional mean, this is, however, a current limitation of GLMs. Practical implications – The authors provide a design of a portfolio credit risk model, that is more suited to the special characteristics of a rural bank, than commercial credit risk models. Originality/value – The paper incorporates agricultural-specific risk factors in a default risk model and a portfolio credit risk model. © Emerald Group Publishing Limited.application/pdfhttps://doi.org/10.1108/AFR-10-2013-00360002146620416326https://repository.urosario.edu.co/handle/10336/23907engEmerald Group Publishing Ltd.521No. 4501Agricultural Finance ReviewVol. 74Agricultural Finance Review, ISSN:00021466, 20416326, Vol.74, No.4 (2014); pp. 501-521https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946561623&doi=10.1108%2fAFR-10-2013-0036&partnerID=40&md5=1d1764b207980782652d0551673619bbAbierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURClimate riskCredit riskRural banksDefault risk in agricultural lending, the effects of commodity price volatility and climatearticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Castro, CarlosGarcia, Karen10336/23907oai:repository.urosario.edu.co:10336/239072022-05-02 07:37:18.420846https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Default risk in agricultural lending, the effects of commodity price volatility and climate
title Default risk in agricultural lending, the effects of commodity price volatility and climate
spellingShingle Default risk in agricultural lending, the effects of commodity price volatility and climate
Climate risk
Credit risk
Rural banks
title_short Default risk in agricultural lending, the effects of commodity price volatility and climate
title_full Default risk in agricultural lending, the effects of commodity price volatility and climate
title_fullStr Default risk in agricultural lending, the effects of commodity price volatility and climate
title_full_unstemmed Default risk in agricultural lending, the effects of commodity price volatility and climate
title_sort Default risk in agricultural lending, the effects of commodity price volatility and climate
dc.subject.keyword.spa.fl_str_mv Climate risk
Credit risk
Rural banks
topic Climate risk
Credit risk
Rural banks
description Purpose – Commodity price volatility and small variations in climate conditions may have an important impact on the creditworthiness of any agricultural project. The evolution of such risk factors is vital for the credit risk analysis of a rural bank. The purpose of this paper is to determine the importance of price volatility and climate factors within a default risk model. Design/methodology/approach – The authors estimate a generalized linear model (GLM) based on a structural default risk model. With the estimated factor loadings, the authors simulate the loss distribution of the portfolio and perform stress test to determine the impact of the relevant risk factors on economic capital. Findings – The results indicate that both the price volatility and climate factors are statistically significant; however, their economic significance is smaller compare to other factors that the authors control for: macroeconomic conditions for the agricultural sector and intermediate input prices. Research limitations/implications – The analysis of non-systemic risk factors such as price volatility and climate conditions requires statistical methods focussed on measuring causal effects at higher quantiles, not just at the conditional mean, this is, however, a current limitation of GLMs. Practical implications – The authors provide a design of a portfolio credit risk model, that is more suited to the special characteristics of a rural bank, than commercial credit risk models. Originality/value – The paper incorporates agricultural-specific risk factors in a default risk model and a portfolio credit risk model. © Emerald Group Publishing Limited.
publishDate 2014
dc.date.created.spa.fl_str_mv 2014
dc.date.accessioned.none.fl_str_mv 2020-05-26T00:06:33Z
dc.date.available.none.fl_str_mv 2020-05-26T00:06:33Z
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1108/AFR-10-2013-0036
dc.identifier.issn.none.fl_str_mv 00021466
20416326
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/23907
url https://doi.org/10.1108/AFR-10-2013-0036
https://repository.urosario.edu.co/handle/10336/23907
identifier_str_mv 00021466
20416326
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 521
dc.relation.citationIssue.none.fl_str_mv No. 4
dc.relation.citationStartPage.none.fl_str_mv 501
dc.relation.citationTitle.none.fl_str_mv Agricultural Finance Review
dc.relation.citationVolume.none.fl_str_mv Vol. 74
dc.relation.ispartof.spa.fl_str_mv Agricultural Finance Review, ISSN:00021466, 20416326, Vol.74, No.4 (2014); pp. 501-521
dc.relation.uri.spa.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946561623&doi=10.1108%2fAFR-10-2013-0036&partnerID=40&md5=1d1764b207980782652d0551673619bb
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv Abierto (Texto Completo)
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Emerald Group Publishing Ltd.
institution Universidad del Rosario
dc.source.instname.spa.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.spa.fl_str_mv reponame:Repositorio Institucional EdocUR
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
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