Bitcoin-based triangular arbitrage with the Euro/U.S. dollar as a foreign futures hedge: modeling with a bivariate GARCH model

This paper proposes a bitcoin-based triangular arbitrage, combining foreign exchanges in the bitcoin market and reverse foreign exchange spot transactions. An FX futures contract is used to reduce exposure to risk as a hedging instrument. The returns of the portfolio are jointly modeled using a biva...

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Main Authors: Zheng Nan, Taisei Kaizoji
Format: Article
Language:English
Published: AIMS Press 2019-06-01
Series:Quantitative Finance and Economics
Subjects:
Online Access:https://www.aimspress.com/article/10.3934/QFE.2019.2.347/fulltext.html
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spelling doaj-ba122165ddf74ecaaa496c22331ec31a2020-11-25T02:41:58ZengAIMS PressQuantitative Finance and Economics2573-01342019-06-013234736510.3934/QFE.2019.2.347Bitcoin-based triangular arbitrage with the Euro/U.S. dollar as a foreign futures hedge: modeling with a bivariate GARCH modelZheng Nan0Taisei Kaizoji11 Graduate School of Arts and Science, International Christian University, 3-10-2 Mitaka, Tokyo 181-8585, Japan1 Graduate School of Arts and Science, International Christian University, 3-10-2 Mitaka, Tokyo 181-8585, Japan<br> 2 College of Liberal Arts, International Christian University, 3-10-2 Mitaka, Tokyo 181-8585, JapanThis paper proposes a bitcoin-based triangular arbitrage, combining foreign exchanges in the bitcoin market and reverse foreign exchange spot transactions. An FX futures contract is used to reduce exposure to risk as a hedging instrument. The returns of the portfolio are jointly modeled using a bivariate DCC-GARCH model with multivariate standardized student’s t disturbances due to the presence of leptokurtosis and fat tails observed. Based on the time-dependent covariance matrix, a dynamic optimal hedge ratio is formed, with a conditional correlation series as a by-product. Empirical results are obtained using Euros and U.S. dollars over the period from 21 April 2014 to 21 September 2018. Multiple rolling one-step-ahead forecasts are generated. The empirical results present bitcoin-based currency strategies dominate bitcoin trading in terms of risk management.https://www.aimspress.com/article/10.3934/QFE.2019.2.347/fulltext.htmlbitcoin| bitcoin exchange rate| triangular arbitrage| optimal hedge ratio| DCC-GARCH model
collection DOAJ
language English
format Article
sources DOAJ
author Zheng Nan
Taisei Kaizoji
spellingShingle Zheng Nan
Taisei Kaizoji
Bitcoin-based triangular arbitrage with the Euro/U.S. dollar as a foreign futures hedge: modeling with a bivariate GARCH model
Quantitative Finance and Economics
bitcoin| bitcoin exchange rate| triangular arbitrage| optimal hedge ratio| DCC-GARCH model
author_facet Zheng Nan
Taisei Kaizoji
author_sort Zheng Nan
title Bitcoin-based triangular arbitrage with the Euro/U.S. dollar as a foreign futures hedge: modeling with a bivariate GARCH model
title_short Bitcoin-based triangular arbitrage with the Euro/U.S. dollar as a foreign futures hedge: modeling with a bivariate GARCH model
title_full Bitcoin-based triangular arbitrage with the Euro/U.S. dollar as a foreign futures hedge: modeling with a bivariate GARCH model
title_fullStr Bitcoin-based triangular arbitrage with the Euro/U.S. dollar as a foreign futures hedge: modeling with a bivariate GARCH model
title_full_unstemmed Bitcoin-based triangular arbitrage with the Euro/U.S. dollar as a foreign futures hedge: modeling with a bivariate GARCH model
title_sort bitcoin-based triangular arbitrage with the euro/u.s. dollar as a foreign futures hedge: modeling with a bivariate garch model
publisher AIMS Press
series Quantitative Finance and Economics
issn 2573-0134
publishDate 2019-06-01
description This paper proposes a bitcoin-based triangular arbitrage, combining foreign exchanges in the bitcoin market and reverse foreign exchange spot transactions. An FX futures contract is used to reduce exposure to risk as a hedging instrument. The returns of the portfolio are jointly modeled using a bivariate DCC-GARCH model with multivariate standardized student’s t disturbances due to the presence of leptokurtosis and fat tails observed. Based on the time-dependent covariance matrix, a dynamic optimal hedge ratio is formed, with a conditional correlation series as a by-product. Empirical results are obtained using Euros and U.S. dollars over the period from 21 April 2014 to 21 September 2018. Multiple rolling one-step-ahead forecasts are generated. The empirical results present bitcoin-based currency strategies dominate bitcoin trading in terms of risk management.
topic bitcoin| bitcoin exchange rate| triangular arbitrage| optimal hedge ratio| DCC-GARCH model
url https://www.aimspress.com/article/10.3934/QFE.2019.2.347/fulltext.html
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