Dividend distribution prediction for small- and medium-sized enterprises in an emerging economy
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Publication Date: | 2025 |
Other Authors: | , |
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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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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1831465279819874304 |