Some evidence on political information and exchange coupon in Brazil

Detalhes bibliográficos
Autor(a) principal: Paulsen, Bernardo Hillesheim
Data de Publicação: 2019
Tipo de documento: Trabalho de conclusão de curso
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/198031
Resumo: We investigate whether political news affect the exchange coupon in Brazil, on a period ranging from November 24, 2016, until April 16, 2019. Our sample of news was collected via web scrapping, which we applied on a Brazilian news portal. We used two measures for the exchange coupon, and we utilized a GARCH model to estimate conditional volatility, which we filtered with both parametric and non-parametric approach. The results from the parametric analysis indicate that the exchange coupon was affected by the corruption scandal of President Temer (May 2017), the announcement of Jair Bolsonaro as candidate for the republic’s presidency (July, 2018), the first round of the presidential elections (October, 2018), and the announcement of a new Pension Reform (January, 2019). The results from the non-parametric analysis indicate that, besides the events above, the exchange coupon was also affected by news related to the Labour Reform (March 2017) and the impeachment requests of President Temer following the corruption scandal (August and October 2017).
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spelling Paulsen, Bernardo HillesheimSantos, Nelson Seixas dos2019-08-15T02:30:23Z2019http://hdl.handle.net/10183/198031001098954We investigate whether political news affect the exchange coupon in Brazil, on a period ranging from November 24, 2016, until April 16, 2019. Our sample of news was collected via web scrapping, which we applied on a Brazilian news portal. We used two measures for the exchange coupon, and we utilized a GARCH model to estimate conditional volatility, which we filtered with both parametric and non-parametric approach. The results from the parametric analysis indicate that the exchange coupon was affected by the corruption scandal of President Temer (May 2017), the announcement of Jair Bolsonaro as candidate for the republic’s presidency (July, 2018), the first round of the presidential elections (October, 2018), and the announcement of a new Pension Reform (January, 2019). The results from the non-parametric analysis indicate that, besides the events above, the exchange coupon was also affected by news related to the Labour Reform (March 2017) and the impeachment requests of President Temer following the corruption scandal (August and October 2017).application/pdfengPolítica cambialEstimaçãoBrasilPolitical informationEfficient marketsFinancial marketsNewsSome evidence on political information and exchange coupon in Brazilinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bachelorThesisUniversidade Federal do Rio Grande do SulFaculdade de Ciências EconômicasPorto Alegre, BR-RS2019Ciências Econômicasgraduaçãoinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001098954.pdf.txt001098954.pdf.txtExtracted Texttext/plain108997http://www.lume.ufrgs.br/bitstream/10183/198031/2/001098954.pdf.txtbc73aafe119302713e2c188887f509d2MD52ORIGINAL001098954.pdfTexto completo (inglês)application/pdf2351467http://www.lume.ufrgs.br/bitstream/10183/198031/1/001098954.pdf51a10ad1a429ed5aad1d5d717fc3fc95MD5110183/1980312021-05-26 04:39:35.174482oai:www.lume.ufrgs.br:10183/198031Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2021-05-26T07:39:35Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Some evidence on political information and exchange coupon in Brazil
title Some evidence on political information and exchange coupon in Brazil
spellingShingle Some evidence on political information and exchange coupon in Brazil
Paulsen, Bernardo Hillesheim
Política cambial
Estimação
Brasil
Political information
Efficient markets
Financial markets
News
title_short Some evidence on political information and exchange coupon in Brazil
title_full Some evidence on political information and exchange coupon in Brazil
title_fullStr Some evidence on political information and exchange coupon in Brazil
title_full_unstemmed Some evidence on political information and exchange coupon in Brazil
title_sort Some evidence on political information and exchange coupon in Brazil
author Paulsen, Bernardo Hillesheim
author_facet Paulsen, Bernardo Hillesheim
author_role author
dc.contributor.author.fl_str_mv Paulsen, Bernardo Hillesheim
dc.contributor.advisor1.fl_str_mv Santos, Nelson Seixas dos
contributor_str_mv Santos, Nelson Seixas dos
dc.subject.por.fl_str_mv Política cambial
Estimação
Brasil
topic Política cambial
Estimação
Brasil
Political information
Efficient markets
Financial markets
News
dc.subject.eng.fl_str_mv Political information
Efficient markets
Financial markets
News
description We investigate whether political news affect the exchange coupon in Brazil, on a period ranging from November 24, 2016, until April 16, 2019. Our sample of news was collected via web scrapping, which we applied on a Brazilian news portal. We used two measures for the exchange coupon, and we utilized a GARCH model to estimate conditional volatility, which we filtered with both parametric and non-parametric approach. The results from the parametric analysis indicate that the exchange coupon was affected by the corruption scandal of President Temer (May 2017), the announcement of Jair Bolsonaro as candidate for the republic’s presidency (July, 2018), the first round of the presidential elections (October, 2018), and the announcement of a new Pension Reform (January, 2019). The results from the non-parametric analysis indicate that, besides the events above, the exchange coupon was also affected by news related to the Labour Reform (March 2017) and the impeachment requests of President Temer following the corruption scandal (August and October 2017).
publishDate 2019
dc.date.accessioned.fl_str_mv 2019-08-15T02:30:23Z
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reponame_str Repositório Institucional da UFRGS
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