Um estudo sobre os impactos da surpresa dos indicadores macroeconômicos de atividade e inflação no mercado futuro brasileiro de juros
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional do FGV (FGV Repositório Digital) |
Texto Completo: | https://hdl.handle.net/10438/12361 |
Resumo: | The monetary policy guidelines are defined based on macro indexes released to the market periodically. The agents of this market react quickly to any changes in macroeconomic environment, trying to obtain high profits or to avoid significant financial losses. Considering this, this paper intends to analyze how interest rate future market reacts when surprises in macroeconomic indexes are released, suggesting a new methodology to forecast the market reaction through the construction of an aggregate surprise index. Using data extracted from Bloomberg and BM&F Bovespa, we constructed a simplified data base by adopting assumptions to measure the impact of surprises disclosed in the price of DI Futuro. The standardization of parameters, applying average tests and optimizing regressions by OLS allowed to weight relatively a set of macro indexes according to their effect on market volatility. Finally, we made a test on the proposed aggregate surprise index that showed it was more efficient in forecasting the market reaction than another index that considered equal weights to all set of macroeconomic index. |
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Coelho, Bruno Carlos Carneiro RodriguesEscolas::EPGEFGVBerriel, Tiago CoutoMaciel, Luiz Felipe PiresMatos, Silvia Maria2014-11-10T12:08:38Z2014-11-10T12:08:38Z2014-05-29COELHO, Bruno Carlos Carneiro Rodrigues. Um estudo sobre os impactos da surpresa dos indicadores macroeconômicos de atividade e inflação no mercado futuro brasileiro de juros. Dissertação (Mestrado em Finanças e Economia Empresarial) - Escola de Pós-Graduação em Economia, Fundação Getúlio Vargas - FGV, Rio de Janeiro, 2014.https://hdl.handle.net/10438/12361The monetary policy guidelines are defined based on macro indexes released to the market periodically. The agents of this market react quickly to any changes in macroeconomic environment, trying to obtain high profits or to avoid significant financial losses. Considering this, this paper intends to analyze how interest rate future market reacts when surprises in macroeconomic indexes are released, suggesting a new methodology to forecast the market reaction through the construction of an aggregate surprise index. Using data extracted from Bloomberg and BM&F Bovespa, we constructed a simplified data base by adopting assumptions to measure the impact of surprises disclosed in the price of DI Futuro. The standardization of parameters, applying average tests and optimizing regressions by OLS allowed to weight relatively a set of macro indexes according to their effect on market volatility. Finally, we made a test on the proposed aggregate surprise index that showed it was more efficient in forecasting the market reaction than another index that considered equal weights to all set of macroeconomic index.As diretrizes de política monetária são definidas com base em resultados dos indicadores macroeconômicos divulgados ao mercado periodicamente. Os agentes deste mercado respondem rapidamente às alterações de cenário, com o objetivo de obter lucro ou evitar perdas financeiras expressivas. Com este motivacional, a proposta deste trabalho é avaliar como reage o mercado futuro de juros diante da divulgação de surpresas em determinados indicadores macroeconômicos, propondo um indicador de surpresa agregado para prever os impactos causados. Através dos dados extraídos da Bloomberg e da BM&F Bovespa, foi construída uma base de dados simplificada pela adoção de premissas para mensuração do impacto das surpresas divulgadas no preço do DI Futuro. A padronização dos parâmetros, a realização dos testes de média e as regressões otimizadas pelo método OLS possibilitaram ponderar os indicadores econômicos de acordo com a oscilação que os mesmos causam a este mercado. Por fim, o teste de comparação mostrou que o indicador de surpresa proposto foi mais eficiente nas previsões da reação do mercado do que um indicador que pondere de forma igualitária todos os indicadores macroeconômicos.porSurpriseInterest rate futuresMacro releasesIndicadores macroeconômicosSurpresaDI FuturoEconomiaTaxas de juros futurasMercados financeiros futurosIndicadores econômicosUm estudo sobre os impactos da surpresa dos indicadores macroeconômicos de atividade e inflação no mercado futuro brasileiro de jurosinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVORIGINALDissertação - Bruno Coelho Final.pdfDissertação - Bruno Coelho 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|
dc.title.por.fl_str_mv |
Um estudo sobre os impactos da surpresa dos indicadores macroeconômicos de atividade e inflação no mercado futuro brasileiro de juros |
title |
Um estudo sobre os impactos da surpresa dos indicadores macroeconômicos de atividade e inflação no mercado futuro brasileiro de juros |
spellingShingle |
Um estudo sobre os impactos da surpresa dos indicadores macroeconômicos de atividade e inflação no mercado futuro brasileiro de juros Coelho, Bruno Carlos Carneiro Rodrigues Surprise Interest rate futures Macro releases Indicadores macroeconômicos Surpresa DI Futuro Economia Taxas de juros futuras Mercados financeiros futuros Indicadores econômicos |
title_short |
Um estudo sobre os impactos da surpresa dos indicadores macroeconômicos de atividade e inflação no mercado futuro brasileiro de juros |
title_full |
Um estudo sobre os impactos da surpresa dos indicadores macroeconômicos de atividade e inflação no mercado futuro brasileiro de juros |
title_fullStr |
Um estudo sobre os impactos da surpresa dos indicadores macroeconômicos de atividade e inflação no mercado futuro brasileiro de juros |
title_full_unstemmed |
Um estudo sobre os impactos da surpresa dos indicadores macroeconômicos de atividade e inflação no mercado futuro brasileiro de juros |
title_sort |
Um estudo sobre os impactos da surpresa dos indicadores macroeconômicos de atividade e inflação no mercado futuro brasileiro de juros |
author |
Coelho, Bruno Carlos Carneiro Rodrigues |
author_facet |
Coelho, Bruno Carlos Carneiro Rodrigues |
author_role |
author |
dc.contributor.unidadefgv.por.fl_str_mv |
Escolas::EPGE |
dc.contributor.affiliation.none.fl_str_mv |
FGV |
dc.contributor.member.none.fl_str_mv |
Berriel, Tiago Couto Maciel, Luiz Felipe Pires |
dc.contributor.author.fl_str_mv |
Coelho, Bruno Carlos Carneiro Rodrigues |
dc.contributor.advisor1.fl_str_mv |
Matos, Silvia Maria |
contributor_str_mv |
Matos, Silvia Maria |
dc.subject.eng.fl_str_mv |
Surprise Interest rate futures Macro releases |
topic |
Surprise Interest rate futures Macro releases Indicadores macroeconômicos Surpresa DI Futuro Economia Taxas de juros futuras Mercados financeiros futuros Indicadores econômicos |
dc.subject.por.fl_str_mv |
Indicadores macroeconômicos Surpresa DI Futuro |
dc.subject.area.por.fl_str_mv |
Economia |
dc.subject.bibliodata.por.fl_str_mv |
Taxas de juros futuras Mercados financeiros futuros Indicadores econômicos |
description |
The monetary policy guidelines are defined based on macro indexes released to the market periodically. The agents of this market react quickly to any changes in macroeconomic environment, trying to obtain high profits or to avoid significant financial losses. Considering this, this paper intends to analyze how interest rate future market reacts when surprises in macroeconomic indexes are released, suggesting a new methodology to forecast the market reaction through the construction of an aggregate surprise index. Using data extracted from Bloomberg and BM&F Bovespa, we constructed a simplified data base by adopting assumptions to measure the impact of surprises disclosed in the price of DI Futuro. The standardization of parameters, applying average tests and optimizing regressions by OLS allowed to weight relatively a set of macro indexes according to their effect on market volatility. Finally, we made a test on the proposed aggregate surprise index that showed it was more efficient in forecasting the market reaction than another index that considered equal weights to all set of macroeconomic index. |
publishDate |
2014 |
dc.date.accessioned.fl_str_mv |
2014-11-10T12:08:38Z |
dc.date.available.fl_str_mv |
2014-11-10T12:08:38Z |
dc.date.issued.fl_str_mv |
2014-05-29 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
COELHO, Bruno Carlos Carneiro Rodrigues. Um estudo sobre os impactos da surpresa dos indicadores macroeconômicos de atividade e inflação no mercado futuro brasileiro de juros. Dissertação (Mestrado em Finanças e Economia Empresarial) - Escola de Pós-Graduação em Economia, Fundação Getúlio Vargas - FGV, Rio de Janeiro, 2014. |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10438/12361 |
identifier_str_mv |
COELHO, Bruno Carlos Carneiro Rodrigues. Um estudo sobre os impactos da surpresa dos indicadores macroeconômicos de atividade e inflação no mercado futuro brasileiro de juros. Dissertação (Mestrado em Finanças e Economia Empresarial) - Escola de Pós-Graduação em Economia, Fundação Getúlio Vargas - FGV, Rio de Janeiro, 2014. |
url |
https://hdl.handle.net/10438/12361 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional do FGV (FGV Repositório Digital) instname:Fundação Getulio Vargas (FGV) instacron:FGV |
instname_str |
Fundação Getulio Vargas (FGV) |
instacron_str |
FGV |
institution |
FGV |
reponame_str |
Repositório Institucional do FGV (FGV Repositório Digital) |
collection |
Repositório Institucional do FGV (FGV Repositório Digital) |
bitstream.url.fl_str_mv |
https://repositorio.fgv.br/bitstreams/071d8173-3470-43d3-b33b-0ab5499c9b74/download https://repositorio.fgv.br/bitstreams/34a67ba4-97f1-416d-8c91-eb7e7718cfc8/download https://repositorio.fgv.br/bitstreams/5617bbd1-6b54-41d9-906b-e3e38726568f/download https://repositorio.fgv.br/bitstreams/6a9511b2-a08e-42cc-b323-5280800238b6/download |
bitstream.checksum.fl_str_mv |
18ff8d85cfb3b37f968f90aeb054c164 dfb340242cced38a6cca06c627998fa1 116aaf977ae867b695db044cdc5048bb 1a604c6b2ff07ac11ec71ca6f2d3e850 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional do FGV (FGV Repositório Digital) - Fundação Getulio Vargas (FGV) |
repository.mail.fl_str_mv |
|
_version_ |
1813797818628833280 |