Virtual currency: a cointegration analysis between bitcoin prices and economic and financial data
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10071/16078 |
Resumo: | The cryptocurrencies development around the world has been studied and published by the media, speculating on its continuity, applicability and security. The Bitcoin stands out as the virtual currency that has achieved the highest market value to date and for being in circulation for more than 5 years. This study intends to investigate the existence of a dynamic relationship between Bitcoin prices and economic and financial data whose relationship with physical currencies is known or it has been showed in previous studies. This data includes the Crude and Gold prices, the 6-month and 1-year U.S. Treasury Yields and the S&P 500 Index prices. The results of the study suggests that only the 6-month U.S. Treasury Yields presents a long-term relationship with the Bitcoin prices. |
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Virtual currency: a cointegration analysis between bitcoin prices and economic and financial dataBitcoinNonstationarityCointegrationVector error correction modelFinançasMoedaCointegraçãoIndicadores económicosThe cryptocurrencies development around the world has been studied and published by the media, speculating on its continuity, applicability and security. The Bitcoin stands out as the virtual currency that has achieved the highest market value to date and for being in circulation for more than 5 years. This study intends to investigate the existence of a dynamic relationship between Bitcoin prices and economic and financial data whose relationship with physical currencies is known or it has been showed in previous studies. This data includes the Crude and Gold prices, the 6-month and 1-year U.S. Treasury Yields and the S&P 500 Index prices. The results of the study suggests that only the 6-month U.S. Treasury Yields presents a long-term relationship with the Bitcoin prices.A criação e crescimento de moedas virtuais pelo mundo têm sido alvo de vários estudos e notícias divulgadas pelos media, especulando-se quanto à sua continuidade, aplicabilidade e segurança. Dessas moedas, destaca-se a Bitcoin, a moeda virtual que apresentou até hoje o maior valor de mercado e que se tem mantido em circulação há mais de 5 anos. O presente estudo tem como objetivo investigar a existência de uma relação dinâmica entre os preços da Bitcoin e indicadores económico-financeiros cuja relação com as moedas físicas é conhecida ou foi demonstrada em estudos anteriores. Esses indicadores são os preços do petróleo e do ouro, as taxas de juro a 6 meses e a 1 ano das obrigações do Tesouro americanas e os valores de fecho do índice S&P 500. Os resultados deste estudo demonstram que apenas as taxas de juro a 6 meses de obrigações do Tesouro americanas apresentam uma relação de longo prazo com as cotações da Bitcoin.2018-06-08T17:31:39Z2017-11-30T00:00:00Z2017-11-302017-09info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfapplication/octet-streamhttp://hdl.handle.net/10071/16078TID:201769417engNunes, Bárbara da Silva Rosainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:57:37Zoai:repositorio.iscte-iul.pt:10071/16078Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:29:45.597822Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Virtual currency: a cointegration analysis between bitcoin prices and economic and financial data |
title |
Virtual currency: a cointegration analysis between bitcoin prices and economic and financial data |
spellingShingle |
Virtual currency: a cointegration analysis between bitcoin prices and economic and financial data Nunes, Bárbara da Silva Rosa Bitcoin Nonstationarity Cointegration Vector error correction model Finanças Moeda Cointegração Indicadores económicos |
title_short |
Virtual currency: a cointegration analysis between bitcoin prices and economic and financial data |
title_full |
Virtual currency: a cointegration analysis between bitcoin prices and economic and financial data |
title_fullStr |
Virtual currency: a cointegration analysis between bitcoin prices and economic and financial data |
title_full_unstemmed |
Virtual currency: a cointegration analysis between bitcoin prices and economic and financial data |
title_sort |
Virtual currency: a cointegration analysis between bitcoin prices and economic and financial data |
author |
Nunes, Bárbara da Silva Rosa |
author_facet |
Nunes, Bárbara da Silva Rosa |
author_role |
author |
dc.contributor.author.fl_str_mv |
Nunes, Bárbara da Silva Rosa |
dc.subject.por.fl_str_mv |
Bitcoin Nonstationarity Cointegration Vector error correction model Finanças Moeda Cointegração Indicadores económicos |
topic |
Bitcoin Nonstationarity Cointegration Vector error correction model Finanças Moeda Cointegração Indicadores económicos |
description |
The cryptocurrencies development around the world has been studied and published by the media, speculating on its continuity, applicability and security. The Bitcoin stands out as the virtual currency that has achieved the highest market value to date and for being in circulation for more than 5 years. This study intends to investigate the existence of a dynamic relationship between Bitcoin prices and economic and financial data whose relationship with physical currencies is known or it has been showed in previous studies. This data includes the Crude and Gold prices, the 6-month and 1-year U.S. Treasury Yields and the S&P 500 Index prices. The results of the study suggests that only the 6-month U.S. Treasury Yields presents a long-term relationship with the Bitcoin prices. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-11-30T00:00:00Z 2017-11-30 2017-09 2018-06-08T17:31:39Z |
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.uri.fl_str_mv |
http://hdl.handle.net/10071/16078 TID:201769417 |
url |
http://hdl.handle.net/10071/16078 |
identifier_str_mv |
TID:201769417 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/octet-stream |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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