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  • 标题:Bitcoin-based triangular arbitrage with the Euro/U.S. dollar as a foreign futures hedge: modeling with a bivariate GARCH model
  • 本地全文:下载
  • 作者:Agustina ; Didah Nur Faridah ; Betty S.L.Jenie
  • 期刊名称:Quantitative Finance and Economics
  • 电子版ISSN:2573-0134
  • 出版年度:2019
  • 卷号:3
  • 期号:2
  • 页码:347-365
  • DOI:10.3934/QFE.2019.2.347
  • 语种:English
  • 出版社:AIMS Press
  • 摘要: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.
  • 关键词:bitcoin;bitcoin exchange rate;triangular arbitrage;optimal hedge ratio;DCC-GARCH model
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