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The dynamic relationship between bitcoin and the foreign exchange market: A nonlinear approach to test causality between bitcoin and currencies

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  • Palazzi, Rafael Baptista
  • Júnior, Gerson de Souza Raimundo
  • Klotzle, Marcelo Cabus

Abstract

This paper investigates whether bitcoin has a nonlinear relationship with six currencies: euro, pound sterling, Swiss franc, renminbi, yen, and ruble, each denominated in US dollars. It employs the nonparametric causality test proposed by Diks and Panchenko (2006) and applies a multivariate filtering approach using BEKK-GARCH residuals to control the conditional heteroskedasticity on daily log-returns from July 2010 to April 2020. We also split the bitcoin dataset into two samples, one before and one after a structural break. Results reveal a direct impact of the euro on bitcoin. However, in the post-break sample, there is only an effect from renminbi to bitcoin. Findings shed light on the nonlinear relationship dynamics among currencies and whether fiat currencies can help predict bitcoin's behavior.

Suggested Citation

  • Palazzi, Rafael Baptista & Júnior, Gerson de Souza Raimundo & Klotzle, Marcelo Cabus, 2021. "The dynamic relationship between bitcoin and the foreign exchange market: A nonlinear approach to test causality between bitcoin and currencies," Finance Research Letters, Elsevier, vol. 42(C).
  • Handle: RePEc:eee:finlet:v:42:y:2021:i:c:s1544612320317074
    DOI: 10.1016/j.frl.2020.101893
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    More about this item

    Keywords

    Bitcoin; Exchange rate; Nonlinear causality; BEKK-GARCH filtering;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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