Sistemas técnicos de trading no mercado de ações brasileiro: testando a hipótese de eficiência de mercado em sua forma fraca e avaliando se a análise técnica agrega valor

Detalhes bibliográficos
Autor(a) principal: Serafini, Daniel Guedine
Data de Publicação: 2010
Outros Autores: Pereira, Pedro L. Valls
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional do FGV (FGV Repositório Digital)
Texto Completo: http://hdl.handle.net/10438/6859
Resumo: The purpose of this job is to examine if the technical analysis may or may not add value to investment decisions. Through the development of confidence intervals, constructed using the technique of Bootstrap sample inference, and consistent with the null hypothesis of market efficiency in its weak form, we tested 4 technical systems of trading. More specifically, we obtained the results of each system applied to the original series of the assets. Then we compared these results with the average of the results obtained when the same systems were applied to 1000 simulated series, according to a random walk, of each asset. If markets are efficient in its weak form, there would be no reason for the results of the original series to be larger than those of the simulated series. The empirical results found here suggested that the systems tested were unable to anticipate the future using only past data. However, some of them have generated significant returns
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spelling Serafini, Daniel GuedinePereira, Pedro L. VallsEscolas::EESP2010-06-29T20:03:56Z2010-06-29T20:03:56Z2010-06-29http://hdl.handle.net/10438/6859The purpose of this job is to examine if the technical analysis may or may not add value to investment decisions. Through the development of confidence intervals, constructed using the technique of Bootstrap sample inference, and consistent with the null hypothesis of market efficiency in its weak form, we tested 4 technical systems of trading. More specifically, we obtained the results of each system applied to the original series of the assets. Then we compared these results with the average of the results obtained when the same systems were applied to 1000 simulated series, according to a random walk, of each asset. If markets are efficient in its weak form, there would be no reason for the results of the original series to be larger than those of the simulated series. The empirical results found here suggested that the systems tested were unable to anticipate the future using only past data. However, some of them have generated significant returnsO objetivo deste trabalho é examinar se a análise técnica agrega valor às decisões de investimentos. Através da elaboração de intervalos de confiança, construídos através da técnica de Bootstrap de inferência amostral, e consistentes com a hipótese nula de eficiência de mercado na sua forma fraca, foram testados 4 sistemas técnicos de trading. Mais especificamente, obteve-se os resultados de cada sistema aplicado às series originais dos ativos. Então, comparou-se esses resultados com a média dos resultados obtidos quando os mesmos sistemas foram aplicados a 1000 séries simuladas, segundo um random walk, de cada ativo. Caso os mercados sejam eficientes em sua forma fraca, não haveria razão para os resultados das séries originais serem superiores aos das séries simuladas. Os resultados empíricos encontrados sugeriram que os sistemas testados não foram capazes de antecipar o futuro utilizando-se apenas de dados passados. Porém, alguns deles geraram retornos expressivosporTextos para discussão - EESP ; 260BootstrapRandom walkStock marketTechnical analysisTechnical systems of tradingAnálise técnicaMercado de açõesEconomiaBolsa de valoresAções (Finanças)Sistemas técnicos de trading no mercado de ações brasileiro: testando a hipótese de eficiência de mercado em sua forma fraca e avaliando se a análise técnica agrega valorinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlereponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVinfo:eu-repo/semantics/openAccessORIGINALTD 260 - Pedro L. Valls.pdfTD 260 - Pedro L. 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dc.title.por.fl_str_mv Sistemas técnicos de trading no mercado de ações brasileiro: testando a hipótese de eficiência de mercado em sua forma fraca e avaliando se a análise técnica agrega valor
title Sistemas técnicos de trading no mercado de ações brasileiro: testando a hipótese de eficiência de mercado em sua forma fraca e avaliando se a análise técnica agrega valor
spellingShingle Sistemas técnicos de trading no mercado de ações brasileiro: testando a hipótese de eficiência de mercado em sua forma fraca e avaliando se a análise técnica agrega valor
Serafini, Daniel Guedine
Bootstrap
Random walk
Stock market
Technical analysis
Technical systems of trading
Análise técnica
Mercado de ações
Economia
Bolsa de valores
Ações (Finanças)
title_short Sistemas técnicos de trading no mercado de ações brasileiro: testando a hipótese de eficiência de mercado em sua forma fraca e avaliando se a análise técnica agrega valor
title_full Sistemas técnicos de trading no mercado de ações brasileiro: testando a hipótese de eficiência de mercado em sua forma fraca e avaliando se a análise técnica agrega valor
title_fullStr Sistemas técnicos de trading no mercado de ações brasileiro: testando a hipótese de eficiência de mercado em sua forma fraca e avaliando se a análise técnica agrega valor
title_full_unstemmed Sistemas técnicos de trading no mercado de ações brasileiro: testando a hipótese de eficiência de mercado em sua forma fraca e avaliando se a análise técnica agrega valor
title_sort Sistemas técnicos de trading no mercado de ações brasileiro: testando a hipótese de eficiência de mercado em sua forma fraca e avaliando se a análise técnica agrega valor
author Serafini, Daniel Guedine
author_facet Serafini, Daniel Guedine
Pereira, Pedro L. Valls
author_role author
author2 Pereira, Pedro L. Valls
author2_role author
dc.contributor.unidadefgv.por.fl_str_mv Escolas::EESP
dc.contributor.author.fl_str_mv Serafini, Daniel Guedine
Pereira, Pedro L. Valls
dc.subject.eng.fl_str_mv Bootstrap
Random walk
Stock market
Technical analysis
Technical systems of trading
topic Bootstrap
Random walk
Stock market
Technical analysis
Technical systems of trading
Análise técnica
Mercado de ações
Economia
Bolsa de valores
Ações (Finanças)
dc.subject.por.fl_str_mv Análise técnica
Mercado de ações
dc.subject.area.por.fl_str_mv Economia
dc.subject.bibliodata.por.fl_str_mv Bolsa de valores
Ações (Finanças)
description The purpose of this job is to examine if the technical analysis may or may not add value to investment decisions. Through the development of confidence intervals, constructed using the technique of Bootstrap sample inference, and consistent with the null hypothesis of market efficiency in its weak form, we tested 4 technical systems of trading. More specifically, we obtained the results of each system applied to the original series of the assets. Then we compared these results with the average of the results obtained when the same systems were applied to 1000 simulated series, according to a random walk, of each asset. If markets are efficient in its weak form, there would be no reason for the results of the original series to be larger than those of the simulated series. The empirical results found here suggested that the systems tested were unable to anticipate the future using only past data. However, some of them have generated significant returns
publishDate 2010
dc.date.accessioned.fl_str_mv 2010-06-29T20:03:56Z
dc.date.available.fl_str_mv 2010-06-29T20:03:56Z
dc.date.issued.fl_str_mv 2010-06-29
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