Factors determining the forecast errors of market analysts for fiscal variables in Brazil

Detalhes bibliográficos
Autor(a) principal: Souza, Francisca Aparecida de
Data de Publicação: 2020
Outros Autores: Silva, César Augusto Tibúrcio, Alves, Karla Roberta Castro Pinheiro
Tipo de documento: Artigo
Idioma: eng
por
Título da fonte: RACE (Joaçaba. Online)
Texto Completo: https://periodicos.unoesc.edu.br/race/article/view/21417
Resumo: The objective of this study is to investigate determinant factors the forecast errors of market analysts for Brazilian fiscal variables. The data for conducting the research was obtained in the Prisma Fiscal, the Ministry of Economy's system of collecting and disclosure of market expectations for fiscal variables. The data collected refer to collection, net revenue and total expenditure, in the period from November 2015 to December 2018. The Mean Absolute Percentage Error (MAPE) and z were used to measure the quality of the market analysts' forecast. The use of the z value as a measure of the forecast error is one of the contributions of this research. Among the results obtained, the hypothesis that the temporal horizon interferes in the quality of the forecast was not rejected for horizons of one and two years; the dispersion of forecasts did not show a substantial change; and the optimistic bias hypothesis was not confirmed. It can be concluded that for this sample the temporality is a determinant factor of the forecast error of the market analysts for fiscal variables. The research contributes to the discussion about forecasting error in the areas of Public Financial Management and Public Accounting.
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spelling Factors determining the forecast errors of market analysts for fiscal variables in BrazilFatores determinantes dos erros de previsão dos analistas de mercado para variáveis fiscais no BrasilForecast errorPublic financesPrisma FiscalMAPE. z.Erro de previsãoFinanças públicasPrisma FiscalMAPE. z.The objective of this study is to investigate determinant factors the forecast errors of market analysts for Brazilian fiscal variables. The data for conducting the research was obtained in the Prisma Fiscal, the Ministry of Economy's system of collecting and disclosure of market expectations for fiscal variables. The data collected refer to collection, net revenue and total expenditure, in the period from November 2015 to December 2018. The Mean Absolute Percentage Error (MAPE) and z were used to measure the quality of the market analysts' forecast. The use of the z value as a measure of the forecast error is one of the contributions of this research. Among the results obtained, the hypothesis that the temporal horizon interferes in the quality of the forecast was not rejected for horizons of one and two years; the dispersion of forecasts did not show a substantial change; and the optimistic bias hypothesis was not confirmed. It can be concluded that for this sample the temporality is a determinant factor of the forecast error of the market analysts for fiscal variables. The research contributes to the discussion about forecasting error in the areas of Public Financial Management and Public Accounting.O objetivo deste estudo é investigar fatores determinantes dos erros de previsão dos analistas de mercado para variáveis fiscais brasileiras. Os dados para realização da pesquisa foram obtidos no Prisma Fiscal, o sistema do Ministério da Economia de coleta e divulgação de expectativas do mercado para variáveis fiscais. Os dados coletados se referem à arrecadação, receita líquida e despesa total, no período de novembro de 2015 a dezembro de 2018.  O Mean Absolute Percentage Error (MAPE) e z foram utilizados para medir a qualidade da previsão dos analistas de mercado. A utilização do valor z como uma medida do erro de previsão é uma das contribuições desta pesquisa. Entre os resultados obtidos, destacam-se: a hipótese de que o horizonte temporal interfere na qualidade da previsão não foi rejeitada para horizontes de um e dois anos; a dispersão das previsões não apresentou alteração substancial; e a hipótese de viés otimista não foi confirmada. Pode-se concluir que, para essa amostra, a temporalidade é um fator determinante do erro de previsão dos analistas de mercado para variáveis fiscais. A pesquisa contribui com a discussão sobre erro de previsão nas áreas de Gestão Financeira Pública e Contabilidade Pública.Universidade do Oeste de Santa Catarina2020-08-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://periodicos.unoesc.edu.br/race/article/view/2141710.18593/race.21417RACE - Revista de Administração, Contabilidade e Economia; Vol. 19 No. 2 (2020): RACE maio/ago. 2020; 227-248RACE - Revista de Administração, Contabilidade e Economia; v. 19 n. 2 (2020): RACE maio/ago. 2020; 227-2482179-49361678-6483reponame:RACE (Joaçaba. Online)instname:Universidade do Oeste de Santa Catarina (UNOESC)instacron:UNOESCengporhttps://periodicos.unoesc.edu.br/race/article/view/21417/14574https://periodicos.unoesc.edu.br/race/article/view/21417/14791Copyright (c) 2020 Karla Roberta Castro Pinheiro Alves, César Augusto Tibúrcio Silva, Francisca Aparecida de Souzainfo:eu-repo/semantics/openAccessSouza, Francisca Aparecida deSilva, César Augusto TibúrcioAlves, Karla Roberta Castro Pinheiro2020-10-16T21:43:31Zoai:ojs.periodicos.unoesc.edu.br:article/21417Revistahttps://portalperiodicos.unoesc.edu.br/racehttps://portalperiodicos.unoesc.edu.br/race/oairace@unoesc.edu.br||editora@unoesc.edu.br2179-49361678-6483opendoar:2020-10-16T21:43:31RACE (Joaçaba. Online) - Universidade do Oeste de Santa Catarina (UNOESC)false
dc.title.none.fl_str_mv Factors determining the forecast errors of market analysts for fiscal variables in Brazil
Fatores determinantes dos erros de previsão dos analistas de mercado para variáveis fiscais no Brasil
title Factors determining the forecast errors of market analysts for fiscal variables in Brazil
spellingShingle Factors determining the forecast errors of market analysts for fiscal variables in Brazil
Souza, Francisca Aparecida de
Forecast error
Public finances
Prisma Fiscal
MAPE. z.
Erro de previsão
Finanças públicas
Prisma Fiscal
MAPE. z.
title_short Factors determining the forecast errors of market analysts for fiscal variables in Brazil
title_full Factors determining the forecast errors of market analysts for fiscal variables in Brazil
title_fullStr Factors determining the forecast errors of market analysts for fiscal variables in Brazil
title_full_unstemmed Factors determining the forecast errors of market analysts for fiscal variables in Brazil
title_sort Factors determining the forecast errors of market analysts for fiscal variables in Brazil
author Souza, Francisca Aparecida de
author_facet Souza, Francisca Aparecida de
Silva, César Augusto Tibúrcio
Alves, Karla Roberta Castro Pinheiro
author_role author
author2 Silva, César Augusto Tibúrcio
Alves, Karla Roberta Castro Pinheiro
author2_role author
author
dc.contributor.author.fl_str_mv Souza, Francisca Aparecida de
Silva, César Augusto Tibúrcio
Alves, Karla Roberta Castro Pinheiro
dc.subject.por.fl_str_mv Forecast error
Public finances
Prisma Fiscal
MAPE. z.
Erro de previsão
Finanças públicas
Prisma Fiscal
MAPE. z.
topic Forecast error
Public finances
Prisma Fiscal
MAPE. z.
Erro de previsão
Finanças públicas
Prisma Fiscal
MAPE. z.
description The objective of this study is to investigate determinant factors the forecast errors of market analysts for Brazilian fiscal variables. The data for conducting the research was obtained in the Prisma Fiscal, the Ministry of Economy's system of collecting and disclosure of market expectations for fiscal variables. The data collected refer to collection, net revenue and total expenditure, in the period from November 2015 to December 2018. The Mean Absolute Percentage Error (MAPE) and z were used to measure the quality of the market analysts' forecast. The use of the z value as a measure of the forecast error is one of the contributions of this research. Among the results obtained, the hypothesis that the temporal horizon interferes in the quality of the forecast was not rejected for horizons of one and two years; the dispersion of forecasts did not show a substantial change; and the optimistic bias hypothesis was not confirmed. It can be concluded that for this sample the temporality is a determinant factor of the forecast error of the market analysts for fiscal variables. The research contributes to the discussion about forecasting error in the areas of Public Financial Management and Public Accounting.
publishDate 2020
dc.date.none.fl_str_mv 2020-08-12
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.unoesc.edu.br/race/article/view/21417
10.18593/race.21417
url https://periodicos.unoesc.edu.br/race/article/view/21417
identifier_str_mv 10.18593/race.21417
dc.language.iso.fl_str_mv eng
por
language eng
por
dc.relation.none.fl_str_mv https://periodicos.unoesc.edu.br/race/article/view/21417/14574
https://periodicos.unoesc.edu.br/race/article/view/21417/14791
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/html
dc.publisher.none.fl_str_mv Universidade do Oeste de Santa Catarina
publisher.none.fl_str_mv Universidade do Oeste de Santa Catarina
dc.source.none.fl_str_mv RACE - Revista de Administração, Contabilidade e Economia; Vol. 19 No. 2 (2020): RACE maio/ago. 2020; 227-248
RACE - Revista de Administração, Contabilidade e Economia; v. 19 n. 2 (2020): RACE maio/ago. 2020; 227-248
2179-4936
1678-6483
reponame:RACE (Joaçaba. Online)
instname:Universidade do Oeste de Santa Catarina (UNOESC)
instacron:UNOESC
instname_str Universidade do Oeste de Santa Catarina (UNOESC)
instacron_str UNOESC
institution UNOESC
reponame_str RACE (Joaçaba. Online)
collection RACE (Joaçaba. Online)
repository.name.fl_str_mv RACE (Joaçaba. Online) - Universidade do Oeste de Santa Catarina (UNOESC)
repository.mail.fl_str_mv race@unoesc.edu.br||editora@unoesc.edu.br
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