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Information Flow between Bitcoin and Other Investment Assets
This paper studies the causal relationship between Bitcoin and other investment assets. We first test Granger causality and then calculate transfer entropy as an information-theoretic approach. Unlike the Granger causality test, we discover that transfer entropy clearly identifies causal interdepend...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514459/ http://dx.doi.org/10.3390/e21111116 |
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author | Jang, Sung Min Yi, Eojin Kim, Woo Chang Ahn, Kwangwon |
author_facet | Jang, Sung Min Yi, Eojin Kim, Woo Chang Ahn, Kwangwon |
author_sort | Jang, Sung Min |
collection | PubMed |
description | This paper studies the causal relationship between Bitcoin and other investment assets. We first test Granger causality and then calculate transfer entropy as an information-theoretic approach. Unlike the Granger causality test, we discover that transfer entropy clearly identifies causal interdependency between Bitcoin and other assets, including gold, stocks, and the U.S. dollar. However, for symbolic transfer entropy, the dynamic rise–fall pattern in return series shows an asymmetric information flow from other assets to Bitcoin. Our results imply that the Bitcoin market actively interacts with major asset markets, and its long-term equilibrium, as a nascent market, gradually synchronizes with that of other investment assets. |
format | Online Article Text |
id | pubmed-7514459 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75144592020-11-09 Information Flow between Bitcoin and Other Investment Assets Jang, Sung Min Yi, Eojin Kim, Woo Chang Ahn, Kwangwon Entropy (Basel) Article This paper studies the causal relationship between Bitcoin and other investment assets. We first test Granger causality and then calculate transfer entropy as an information-theoretic approach. Unlike the Granger causality test, we discover that transfer entropy clearly identifies causal interdependency between Bitcoin and other assets, including gold, stocks, and the U.S. dollar. However, for symbolic transfer entropy, the dynamic rise–fall pattern in return series shows an asymmetric information flow from other assets to Bitcoin. Our results imply that the Bitcoin market actively interacts with major asset markets, and its long-term equilibrium, as a nascent market, gradually synchronizes with that of other investment assets. MDPI 2019-11-14 /pmc/articles/PMC7514459/ http://dx.doi.org/10.3390/e21111116 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Jang, Sung Min Yi, Eojin Kim, Woo Chang Ahn, Kwangwon Information Flow between Bitcoin and Other Investment Assets |
title | Information Flow between Bitcoin and Other Investment Assets |
title_full | Information Flow between Bitcoin and Other Investment Assets |
title_fullStr | Information Flow between Bitcoin and Other Investment Assets |
title_full_unstemmed | Information Flow between Bitcoin and Other Investment Assets |
title_short | Information Flow between Bitcoin and Other Investment Assets |
title_sort | information flow between bitcoin and other investment assets |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514459/ http://dx.doi.org/10.3390/e21111116 |
work_keys_str_mv | AT jangsungmin informationflowbetweenbitcoinandotherinvestmentassets AT yieojin informationflowbetweenbitcoinandotherinvestmentassets AT kimwoochang informationflowbetweenbitcoinandotherinvestmentassets AT ahnkwangwon informationflowbetweenbitcoinandotherinvestmentassets |