Empirical determinants of financial fragility. The case of Colombian firms

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Hyman Minsky’s financial instability hypothesis provides a theoretical framework to understand the emergence of endogenous crises in modern economies and how capital flows amplify accumulated imbalances and exacerbate financial constraints in economic units. This inquiry operationalizes the Financia...

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Detalles Bibliográficos
Autor: De Jesus, Bruno
Formato: artículo
Fecha de Publicación:2025
Institución:Pontificia Universidad Católica del Perú
Repositorio:PUCP-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.pucp.edu.pe:20.500.14657/205246
Enlace del recurso:https://revistas.pucp.edu.pe/index.php/economia/article/view/32793/28358
http://hdl.handle.net/20.500.14657/205246
https://doi.org/10.18800/economia.202502.004
Nivel de acceso:acceso abierto
Materia:Capital structure
Corporate investment
Emerging markets
Financial fragility
Linear probit model
Margins of safety
Multinomial logit
Quantile regression
Recentered influence function
https://purl.org/pe-repo/ocde/ford#5.02.01
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spelling De Jesus, Bruno2026-01-12T18:49:45Z2025-12-10https://revistas.pucp.edu.pe/index.php/economia/article/view/32793/28358http://hdl.handle.net/20.500.14657/205246https://doi.org/10.18800/economia.202502.004Hyman Minsky’s financial instability hypothesis provides a theoretical framework to understand the emergence of endogenous crises in modern economies and how capital flows amplify accumulated imbalances and exacerbate financial constraints in economic units. This inquiry operationalizes the Financial Instability Hypothesis within the Colombian non-listed manufacturing sector through the estimation of discrete-state dynamics and distributional sensitivities. The methodological design constructs two distinct fragility taxonomies to interrogate the determinants of the Hedge, Speculative, and Ponzi classifications. The first specification applies an open-economy cash-flow model derived from Castro (2011), which explicitly internalizes the valuation effects of nominal exchange rate fluctuations on debt service obligations. The second taxonomy, grounded in Nishi (2019), evaluates solvency through the interaction of a flow-based profitability margin and a stock-based liquid asset buffer. To parse the transmission of meso-level economic impulses, the analysis deploys multinomial logit models equipped with a Mundlak correction for correlated random effects alongside recentered influence function regressions. Estimation outputs from the first model confirm that the deterioration of the interest coverage ratio functions as the primary determinant to the Ponzi state, while pre-existing dependence on imported capital acts as a specific transmission channel for currency shocks. The margin-of-safety specification reveals that stock-based liquidity buffers absorb solvency shocks effectively, rendering specific currency exposure variables redundant as predictors of distress. Finally, the dynamic analysis uncovers a temporal asymmetry where contemporaneous sectoral expansions ameliorate immediate default risk through the revenue channel, whereas lagged growth accumulation is associated with the endogenous generation of future fragility. This validates the core thesis of Minsky’s framework: that stability breeds instability.application/pdfengPontificia Universidad Católica del PerúPEurn:issn:2304-4306urn:issn:0254-4415info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0Economía; Vol. 48 Núm. 96 (2025)reponame:PUCP-Institucionalinstname:Pontificia Universidad Católica del Perúinstacron:PUCPCapital structureCorporate investmentEmerging marketsFinancial fragilityLinear probit modelMargins of safetyMultinomial logitQuantile regressionRecentered influence functionhttps://purl.org/pe-repo/ocde/ford#5.02.01Empirical determinants of financial fragility. The case of Colombian firmsinfo:eu-repo/semantics/articleArtículo20.500.14657/205246oai:repositorio.pucp.edu.pe:20.500.14657/2052462026-01-12T18:49:45.335350Zhttp://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 Empirical determinants of financial fragility. The case of Colombian firms
title Empirical determinants of financial fragility. The case of Colombian firms
spellingShingle Empirical determinants of financial fragility. The case of Colombian firms
De Jesus, Bruno
Capital structure
Corporate investment
Emerging markets
Financial fragility
Linear probit model
Margins of safety
Multinomial logit
Quantile regression
Recentered influence function
https://purl.org/pe-repo/ocde/ford#5.02.01
title_short Empirical determinants of financial fragility. The case of Colombian firms
title_full Empirical determinants of financial fragility. The case of Colombian firms
title_fullStr Empirical determinants of financial fragility. The case of Colombian firms
title_full_unstemmed Empirical determinants of financial fragility. The case of Colombian firms
title_sort Empirical determinants of financial fragility. The case of Colombian firms
author De Jesus, Bruno
author_facet De Jesus, Bruno
author_role author
dc.contributor.author.fl_str_mv De Jesus, Bruno
dc.subject.en_US.fl_str_mv Capital structure
Corporate investment
Emerging markets
Financial fragility
Linear probit model
Margins of safety
Multinomial logit
Quantile regression
Recentered influence function
topic Capital structure
Corporate investment
Emerging markets
Financial fragility
Linear probit model
Margins of safety
Multinomial logit
Quantile regression
Recentered influence function
https://purl.org/pe-repo/ocde/ford#5.02.01
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#5.02.01
description Hyman Minsky’s financial instability hypothesis provides a theoretical framework to understand the emergence of endogenous crises in modern economies and how capital flows amplify accumulated imbalances and exacerbate financial constraints in economic units. This inquiry operationalizes the Financial Instability Hypothesis within the Colombian non-listed manufacturing sector through the estimation of discrete-state dynamics and distributional sensitivities. The methodological design constructs two distinct fragility taxonomies to interrogate the determinants of the Hedge, Speculative, and Ponzi classifications. The first specification applies an open-economy cash-flow model derived from Castro (2011), which explicitly internalizes the valuation effects of nominal exchange rate fluctuations on debt service obligations. The second taxonomy, grounded in Nishi (2019), evaluates solvency through the interaction of a flow-based profitability margin and a stock-based liquid asset buffer. To parse the transmission of meso-level economic impulses, the analysis deploys multinomial logit models equipped with a Mundlak correction for correlated random effects alongside recentered influence function regressions. Estimation outputs from the first model confirm that the deterioration of the interest coverage ratio functions as the primary determinant to the Ponzi state, while pre-existing dependence on imported capital acts as a specific transmission channel for currency shocks. The margin-of-safety specification reveals that stock-based liquidity buffers absorb solvency shocks effectively, rendering specific currency exposure variables redundant as predictors of distress. Finally, the dynamic analysis uncovers a temporal asymmetry where contemporaneous sectoral expansions ameliorate immediate default risk through the revenue channel, whereas lagged growth accumulation is associated with the endogenous generation of future fragility. This validates the core thesis of Minsky’s framework: that stability breeds instability.
publishDate 2025
dc.date.accessioned.none.fl_str_mv 2026-01-12T18:49:45Z
dc.date.issued.fl_str_mv 2025-12-10
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/32793/28358
http://hdl.handle.net/20.500.14657/205246
dc.identifier.doi.none.fl_str_mv https://doi.org/10.18800/economia.202502.004
url https://revistas.pucp.edu.pe/index.php/economia/article/view/32793/28358
http://hdl.handle.net/20.500.14657/205246
https://doi.org/10.18800/economia.202502.004
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.none.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; Vol. 48 Núm. 96 (2025)
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
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