Dividend distribution prediction for small- and medium-sized enterprises in an emerging economy

Bibliographic Details
Main Author: Correa-Mejía, Diego Andrés
Publication Date: 2025
Other Authors: Correa-García, Jaime Andrés, Ríos, Carlos Eduardo Castaño
Format: Article
Language: eng
por
Source: BBR. Brazilian Business Review (English edition. Online)
Download full: https://www.bbronline.com.br/index.php/bbr/article/view/843
Summary: The possibility of predicting dividends is a determining factor for shareholders, investors, and management, since dividends are an important variable for firm value creation. This study aims to predict small and medium-sized enterprises’ (SMEs) dividend decisions in an emerging Latin American economy. Supported by a sample of 20,418 observations for the years 2016-2018, a boosting model is applied to establish the incidence of a set of financial indicators for dividend prediction. The findings reveal that none of the financial indicators alone can explain future dividend expectations, demonstrating the robustness of the boosting model applied, and confirming that companies that have distributed dividends in the past are consistent with their dividend policy. This work has methodological, academic, and practical contributions to the SME segment, to the context in which it is studied, and to other emerging economies. The empirical evidence provided opens the door to future research that will enhance and deepen the study of this financial decision.
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spelling Dividend distribution prediction for small- and medium-sized enterprises in an emerging economyPrevisão de distribuição de dividendos para pequenas e médias empresas numa economia emergenteDividend policySMEsEmerging economyDividend predictionPolítica de dividendosPMEEconomia emergentePrevisão de dividendosThe possibility of predicting dividends is a determining factor for shareholders, investors, and management, since dividends are an important variable for firm value creation. This study aims to predict small and medium-sized enterprises’ (SMEs) dividend decisions in an emerging Latin American economy. Supported by a sample of 20,418 observations for the years 2016-2018, a boosting model is applied to establish the incidence of a set of financial indicators for dividend prediction. The findings reveal that none of the financial indicators alone can explain future dividend expectations, demonstrating the robustness of the boosting model applied, and confirming that companies that have distributed dividends in the past are consistent with their dividend policy. This work has methodological, academic, and practical contributions to the SME segment, to the context in which it is studied, and to other emerging economies. The empirical evidence provided opens the door to future research that will enhance and deepen the study of this financial decision.A possibilidade de prever dividendos é um fator determinante para acionistas, investidores e gestores, uma vez que os dividendos são uma variável importante para a criação de valor da empresa. Este estudo tem como objetivo prever as decisões sobre dividendos de pequenas e médias empresas (PMEs) em uma economia emergente da América Latina. Apoiado numa amostra de 20.418 observações para os anos 2016-2018, um modelo de boosting é aplicado para estabelecer a incidência de um conjunto de indicadores financeiros para previsão de dividendos. As conclusões revelam que nenhum dos indicadores financeiros por si só pode explicar as expectativas futuras de dividendos, demonstrando a robustez do modelo de boosting aplicado, e confirma-se que as empresas que distribuíram dividendos no passado são consistentes com a sua política de dividendos. Este trabalho tem contribuições metodológicas, acadêmicas e práticas para o segmento de PME, para o contexto em que é estudado, e para outras economias emergentes. A evidência empírica fornecida abre portas para pesquisas futuras que irão aprimorar e aprofundar o estudo dessa decisão financeira.FUCAPE Business Shool2025-05-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed ArticleArtigo revisado pelos paresapplication/pdfapplication/pdfhttps://www.bbronline.com.br/index.php/bbr/article/view/84310.15728/bbr.2023.1578.enBrazilian Business Review; Vol. 22; 1-23Brazilian Business Review; v. 22; 1-231808-23861807-734Xreponame:BBR. Brazilian Business Review (English edition. Online)instname:Fucape Business School (FBS)instacron:FBSengporhttps://www.bbronline.com.br/index.php/bbr/article/view/843/1284https://www.bbronline.com.br/index.php/bbr/article/view/843/1285Copyright (c) 2025 Brazilian Business Reviewhttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCorrea-Mejía, Diego AndrésCorrea-García, Jaime AndrésRíos, Carlos Eduardo Castaño2025-05-01T11:53:31Zoai:ojs.pkp.sfu.ca:article/843Revistahttps://www.bbronline.com.br/index.php/bbr/indexONGhttp://www.bbronline.com.br/index.php/bbr/oai|| bbronline@bbronline.com.br1808-23861808-2386opendoar:2025-05-01T11:53:31BBR. Brazilian Business Review (English edition. Online) - Fucape Business School (FBS)false
dc.title.none.fl_str_mv Dividend distribution prediction for small- and medium-sized enterprises in an emerging economy
Previsão de distribuição de dividendos para pequenas e médias empresas numa economia emergente
title Dividend distribution prediction for small- and medium-sized enterprises in an emerging economy
spellingShingle Dividend distribution prediction for small- and medium-sized enterprises in an emerging economy
Correa-Mejía, Diego Andrés
Dividend policy
SMEs
Emerging economy
Dividend prediction
Política de dividendos
PME
Economia emergente
Previsão de dividendos
title_short Dividend distribution prediction for small- and medium-sized enterprises in an emerging economy
title_full Dividend distribution prediction for small- and medium-sized enterprises in an emerging economy
title_fullStr Dividend distribution prediction for small- and medium-sized enterprises in an emerging economy
title_full_unstemmed Dividend distribution prediction for small- and medium-sized enterprises in an emerging economy
title_sort Dividend distribution prediction for small- and medium-sized enterprises in an emerging economy
author Correa-Mejía, Diego Andrés
author_facet Correa-Mejía, Diego Andrés
Correa-García, Jaime Andrés
Ríos, Carlos Eduardo Castaño
author_role author
author2 Correa-García, Jaime Andrés
Ríos, Carlos Eduardo Castaño
author2_role author
author
dc.contributor.author.fl_str_mv Correa-Mejía, Diego Andrés
Correa-García, Jaime Andrés
Ríos, Carlos Eduardo Castaño
dc.subject.por.fl_str_mv Dividend policy
SMEs
Emerging economy
Dividend prediction
Política de dividendos
PME
Economia emergente
Previsão de dividendos
topic Dividend policy
SMEs
Emerging economy
Dividend prediction
Política de dividendos
PME
Economia emergente
Previsão de dividendos
description The possibility of predicting dividends is a determining factor for shareholders, investors, and management, since dividends are an important variable for firm value creation. This study aims to predict small and medium-sized enterprises’ (SMEs) dividend decisions in an emerging Latin American economy. Supported by a sample of 20,418 observations for the years 2016-2018, a boosting model is applied to establish the incidence of a set of financial indicators for dividend prediction. The findings reveal that none of the financial indicators alone can explain future dividend expectations, demonstrating the robustness of the boosting model applied, and confirming that companies that have distributed dividends in the past are consistent with their dividend policy. This work has methodological, academic, and practical contributions to the SME segment, to the context in which it is studied, and to other emerging economies. The empirical evidence provided opens the door to future research that will enhance and deepen the study of this financial decision.
publishDate 2025
dc.date.none.fl_str_mv 2025-05-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Artigo revisado pelos pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.bbronline.com.br/index.php/bbr/article/view/843
10.15728/bbr.2023.1578.en
url https://www.bbronline.com.br/index.php/bbr/article/view/843
identifier_str_mv 10.15728/bbr.2023.1578.en
dc.language.iso.fl_str_mv eng
por
language eng
por
dc.relation.none.fl_str_mv https://www.bbronline.com.br/index.php/bbr/article/view/843/1284
https://www.bbronline.com.br/index.php/bbr/article/view/843/1285
dc.rights.driver.fl_str_mv Copyright (c) 2025 Brazilian Business Review
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2025 Brazilian Business Review
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv FUCAPE Business Shool
publisher.none.fl_str_mv FUCAPE Business Shool
dc.source.none.fl_str_mv Brazilian Business Review; Vol. 22; 1-23
Brazilian Business Review; v. 22; 1-23
1808-2386
1807-734X
reponame:BBR. Brazilian Business Review (English edition. Online)
instname:Fucape Business School (FBS)
instacron:FBS
instname_str Fucape Business School (FBS)
instacron_str FBS
institution FBS
reponame_str BBR. Brazilian Business Review (English edition. Online)
collection BBR. Brazilian Business Review (English edition. Online)
repository.name.fl_str_mv BBR. Brazilian Business Review (English edition. Online) - Fucape Business School (FBS)
repository.mail.fl_str_mv || bbronline@bbronline.com.br
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