Mixed logistic model with two independent random coefficients for financial crisis prediction: argentinean companies

Fil: Caro, Norma Patricia. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas. Científicas y Técnicas. Centro de Investigaciones en Ciencias Económicas; Argentina.

Detalles Bibliográficos
Autores principales: Caro, Norma Patricia, Díaz, Margarita, García, Fernando, Porporato, Marcela
Otros Autores: https://orcid.org/0000-0002-6271-870X
Formato: publishedVersion article
Lenguaje:Inglés
Publicado: 2024
Materias:
Mixed logistic model
Financial statements
Financial ratios
Financial distress
Bankruptcy prediction
Latin America
Argentina
Accounting
Acceso en línea:http://hdl.handle.net/11086/553193
https://www.inderscience.com/info/inarticle.php?artid=111228
Aporte de:
Repositorio Digital Universitario (UNC) de Universidad Nacional de Córdoba
id I10-R141-11086-553193
record_format dspace
spelling I10-R141-11086-5531932024-08-07T22:12:05Z Mixed logistic model with two independent random coefficients for financial crisis prediction: argentinean companies Caro, Norma Patricia Díaz, Margarita García, Fernando Porporato, Marcela https://orcid.org/0000-0002-6271-870X https://orcid.org/0000-0002-1384-3862 https://orcid.org/0000-0002-2884-7428 Mixed logistic model Financial statements Financial ratios Financial distress Bankruptcy prediction Latin America Argentina Accounting info:eu-repo/semantics/publishedVersion Fil: Caro, Norma Patricia. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas. Científicas y Técnicas. Centro de Investigaciones en Ciencias Económicas; Argentina. Fil: Díaz, Margarita. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas. Científicas y Técnicas. Centro de Investigaciones en Ciencias Económicas; Argentina. Fil: García, Fernando. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas. Científicas y Técnicas. Centro de Investigaciones en Ciencias Económicas; Argentina. Fil: Porporato, Marcela. York University. School of Administrative Studies; Canadá. Fil: Porporato, Marcela. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas, Argentina. The paper develops a mixed logistic financial distress prediction model with two independent random coefficients and validates it for public Argentinean companies. This study complements existing literature on bankruptcy prediction in emerging economies advancing the application of contemporary econometric methods (Caro et al., 2013). Anticipating bankruptcy risks increases portfolios’ profitability. Emerging economies and frontier markets differ from developed economies in political, cultural, social and institutional terms. Given those differences, investors and lenders need specific bankruptcy and financial distress prediction models. The model developed achieves an excellent performance using financial statements from firms listed in the Buenos Aires Stock Exchange during 1993–2000 with ratios accepted in the literature (Altman, 1993; Jones and Hensher, 2004). Results show that profitability, assets turnover and cash flow from operations reduce the likelihood of financial distress while leverage increases it for companies operating in a frontier market such as Argentina. info:eu-repo/semantics/publishedVersion Fil: Caro, Norma Patricia. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas. Científicas y Técnicas. Centro de Investigaciones en Ciencias Económicas; Argentina. Fil: Díaz, Margarita. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas. Científicas y Técnicas. Centro de Investigaciones en Ciencias Económicas; Argentina. Fil: García, Fernando. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas. Científicas y Técnicas. Centro de Investigaciones en Ciencias Económicas; Argentina. Fil: Porporato, Marcela. York University. School of Administrative Studies; Canadá. Fil: Porporato, Marcela. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas, Argentina. Otras Economía y Negocios 2024-08-07T22:01:41Z 2024-08-07T22:01:41Z 2020-11 article 1752-8224 http://hdl.handle.net/11086/553193 1752-8232 https://www.inderscience.com/info/inarticle.php?artid=111228 10.1504/IJAF.2020.111228 eng Atribución – No Comercial – Sin Obra Derivada 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ Impreso
institution Universidad Nacional de Córdoba
institution_str I-10
repository_str R-141
collection Repositorio Digital Universitario (UNC)
language Inglés
topic Mixed logistic model
Financial statements
Financial ratios
Financial distress
Bankruptcy prediction
Latin America
Argentina
Accounting
spellingShingle Mixed logistic model
Financial statements
Financial ratios
Financial distress
Bankruptcy prediction
Latin America
Argentina
Accounting
Caro, Norma Patricia
Díaz, Margarita
García, Fernando
Porporato, Marcela
Mixed logistic model with two independent random coefficients for financial crisis prediction: argentinean companies
topic_facet Mixed logistic model
Financial statements
Financial ratios
Financial distress
Bankruptcy prediction
Latin America
Argentina
Accounting
description Fil: Caro, Norma Patricia. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas. Científicas y Técnicas. Centro de Investigaciones en Ciencias Económicas; Argentina.
author2 https://orcid.org/0000-0002-6271-870X
author_facet https://orcid.org/0000-0002-6271-870X
Caro, Norma Patricia
Díaz, Margarita
García, Fernando
Porporato, Marcela
format publishedVersion
article
author Caro, Norma Patricia
Díaz, Margarita
García, Fernando
Porporato, Marcela
author_sort Caro, Norma Patricia
title Mixed logistic model with two independent random coefficients for financial crisis prediction: argentinean companies
title_short Mixed logistic model with two independent random coefficients for financial crisis prediction: argentinean companies
title_full Mixed logistic model with two independent random coefficients for financial crisis prediction: argentinean companies
title_fullStr Mixed logistic model with two independent random coefficients for financial crisis prediction: argentinean companies
title_full_unstemmed Mixed logistic model with two independent random coefficients for financial crisis prediction: argentinean companies
title_sort mixed logistic model with two independent random coefficients for financial crisis prediction: argentinean companies
publishDate 2024
url http://hdl.handle.net/11086/553193
https://www.inderscience.com/info/inarticle.php?artid=111228
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AT garciafernando mixedlogisticmodelwithtwoindependentrandomcoefficientsforfinancialcrisispredictionargentineancompanies
AT porporatomarcela mixedlogisticmodelwithtwoindependentrandomcoefficientsforfinancialcrisispredictionargentineancompanies
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