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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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 |
work_keys_str_mv |
AT zhengnan bitcoinbasedtriangulararbitragewiththeeurousdollarasaforeignfutureshedgemodelingwithabivariategarchmodel AT taiseikaizoji bitcoinbasedtriangulararbitragewiththeeurousdollarasaforeignfutureshedgemodelingwithabivariategarchmodel |
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