Robust analysis of financial data: factor analysis associated with panel regression

Detalhes bibliográficos
Autor(a) principal: Januzzi, Flávia Vital
Data de Publicação: 2015
Outros Autores: Coelho, Mariana de Freitas, Gonçalves, Carlos Alberto, Vieira, Leandro Martins
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista Ciências Administrativas (Fortaleza. Online)
Texto Completo: https://ojs.unifor.br/rca/article/view/3648
Resumo: A limitation found in finance studies based on secondary data is the lack of full data for analysis. This article aims discussing the use of two combined techniques to help mitigating the problem of lack of data for researchers. Factor analysis aims the reduction of factors and contributes to prioritize them ina research. The regression panel is used when there are many analytical units with a limited amount of information and the estimation must be done for two or more time periods. Among the panel regression models, the researcher must choose between: (1) pooled model; (2) fixed effects model; (3) random effects model, or (4) mixed effects model. Therefore,this paper presents alternative techniques, which enable stronger financialstudies analysis, giving robustness to the researches with heterogeneous data and incomplete data, when grounded in the methodological accuracy of each technique. Keywords: Factor Analysis. Panel Regression. Financial Analysis.
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spelling Robust analysis of financial data: factor analysis associated with panel regressionRobustez na análise de dados financeiros: análise fatorial associada à regressão em painel (Robust analysis of financial data: factor analysis associated with panel regression)A limitation found in finance studies based on secondary data is the lack of full data for analysis. This article aims discussing the use of two combined techniques to help mitigating the problem of lack of data for researchers. Factor analysis aims the reduction of factors and contributes to prioritize them ina research. The regression panel is used when there are many analytical units with a limited amount of information and the estimation must be done for two or more time periods. Among the panel regression models, the researcher must choose between: (1) pooled model; (2) fixed effects model; (3) random effects model, or (4) mixed effects model. Therefore,this paper presents alternative techniques, which enable stronger financialstudies analysis, giving robustness to the researches with heterogeneous data and incomplete data, when grounded in the methodological accuracy of each technique. Keywords: Factor Analysis. Panel Regression. Financial Analysis.Uma das limitações encontradas nos estudos acadêmicos em Finanças baseados em dados secundários é a falta de dados completos para análise. Este artigo tem como objetivo discutir o uso de duas técnicas que, em conjunto, podem auxiliar na mitigação do problema de falta de dados para os pesquisadores. A análise fatorial tem como premissa a redução de fatores e pode contribuir ao priorizar os fatores de uma pesquisa determinada. A regressão em painel é utilizada quando existem muitas unidades de análise com um número limitado de informações, e a estimação deve ser feita para dois ou mais períodos de tempo. Dentre os modelos de regressão em painel, o pesquisador deve escolher entre: (1) modelo empilhado; (2) modelo de efeitos fixos; (3) modelo de efeitos aleatórios, ou (4) modelo de efeitos mistos. Portanto, há técnicas alternativas que viabilizam estudos de análise financeira, dando robustez às pesquisas que possuem dados heterogêneos e dados incompletos, desde que os trabalhos sejam embasados no rigor metodológico de cada uma das técnicas. DOI: 10.5020/2318-0722.2015.v21n1p163Universidade de Fortaleza2015-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ojs.unifor.br/rca/article/view/3648Revista Ciências Administrativas; v. 21 n. 1 (2015)2318-0722reponame:Revista Ciências Administrativas (Fortaleza. Online)instname:Universidade de Fortaleza (UNIFOR)instacron:UNIFORporhttps://ojs.unifor.br/rca/article/view/3648/pdfJanuzzi, Flávia VitalCoelho, Mariana de FreitasGonçalves, Carlos AlbertoVieira, Leandro Martinsinfo:eu-repo/semantics/openAccess2020-04-02T18:29:07Zoai:ojs.ojs.unifor.br:article/3648Revistahttps://periodicos.unifor.br/rcahttp://ojs.unifor.br/index.php/rca/oai||revcca@unifor.br|| sergioforte@unifor.br2318-07221414-0896opendoar:2020-04-02T18:29:07Revista Ciências Administrativas (Fortaleza. Online) - Universidade de Fortaleza (UNIFOR)false
dc.title.none.fl_str_mv Robust analysis of financial data: factor analysis associated with panel regression
Robustez na análise de dados financeiros: análise fatorial associada à regressão em painel (Robust analysis of financial data: factor analysis associated with panel regression)
title Robust analysis of financial data: factor analysis associated with panel regression
spellingShingle Robust analysis of financial data: factor analysis associated with panel regression
Januzzi, Flávia Vital
title_short Robust analysis of financial data: factor analysis associated with panel regression
title_full Robust analysis of financial data: factor analysis associated with panel regression
title_fullStr Robust analysis of financial data: factor analysis associated with panel regression
title_full_unstemmed Robust analysis of financial data: factor analysis associated with panel regression
title_sort Robust analysis of financial data: factor analysis associated with panel regression
author Januzzi, Flávia Vital
author_facet Januzzi, Flávia Vital
Coelho, Mariana de Freitas
Gonçalves, Carlos Alberto
Vieira, Leandro Martins
author_role author
author2 Coelho, Mariana de Freitas
Gonçalves, Carlos Alberto
Vieira, Leandro Martins
author2_role author
author
author
dc.contributor.author.fl_str_mv Januzzi, Flávia Vital
Coelho, Mariana de Freitas
Gonçalves, Carlos Alberto
Vieira, Leandro Martins
description A limitation found in finance studies based on secondary data is the lack of full data for analysis. This article aims discussing the use of two combined techniques to help mitigating the problem of lack of data for researchers. Factor analysis aims the reduction of factors and contributes to prioritize them ina research. The regression panel is used when there are many analytical units with a limited amount of information and the estimation must be done for two or more time periods. Among the panel regression models, the researcher must choose between: (1) pooled model; (2) fixed effects model; (3) random effects model, or (4) mixed effects model. Therefore,this paper presents alternative techniques, which enable stronger financialstudies analysis, giving robustness to the researches with heterogeneous data and incomplete data, when grounded in the methodological accuracy of each technique. Keywords: Factor Analysis. Panel Regression. Financial Analysis.
publishDate 2015
dc.date.none.fl_str_mv 2015-10-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ojs.unifor.br/rca/article/view/3648
url https://ojs.unifor.br/rca/article/view/3648
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://ojs.unifor.br/rca/article/view/3648/pdf
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de Fortaleza
publisher.none.fl_str_mv Universidade de Fortaleza
dc.source.none.fl_str_mv Revista Ciências Administrativas; v. 21 n. 1 (2015)
2318-0722
reponame:Revista Ciências Administrativas (Fortaleza. Online)
instname:Universidade de Fortaleza (UNIFOR)
instacron:UNIFOR
instname_str Universidade de Fortaleza (UNIFOR)
instacron_str UNIFOR
institution UNIFOR
reponame_str Revista Ciências Administrativas (Fortaleza. Online)
collection Revista Ciências Administrativas (Fortaleza. Online)
repository.name.fl_str_mv Revista Ciências Administrativas (Fortaleza. Online) - Universidade de Fortaleza (UNIFOR)
repository.mail.fl_str_mv ||revcca@unifor.br|| sergioforte@unifor.br
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