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The Effect of Bitcoin Prices on US Dollar Index Price

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Book cover Advances in Time Series Data Methods in Applied Economic Research (ICOAE 2018)

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Abstract

The purpose of this paper is to explore the effects of Bitcoin (crude oil) and financial (equity, gold and stock prices) markets on the US dollar index. A GJR-GARCH model is used to test these relationships for the period August 2010 to September 2016 using monthly data. The results suggest that bitcoin gold and stock prices (DSJI) affect negatively and statistically significantly the returns of the US dollar index. There is also some evidence that there is asymmetry in the bitcoin market and its relation with the US dollar index and that the latter could be considered as a possible safe haven for gold, stock and bitcoin.

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Notes

  1. 1.

    Data available from https://coinmarketcap.com/all/views/all/ (accessed in 29/5/2018)

  2. 2.

    namely Euro (EUR), Japanese yen (JPY), Pound sterling (GBP), Canadian dollar (CAD), Swedish krona (SEK), and Swiss franc (CHF).

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Author information

Authors and Affiliations

  1. Department of Business Administration, Western Macedonia University of Applied Sciences, Kozani, Greece

    I. Antoniadis

  2. Department of Accounting and Finance, Western Macedonia University of Applied Sciences, Kozani, Greece

    N. Sariannidis

  3. Department of Business Administration, Western Macedonia University of Applied Sciences, Grevena, Greece

    S. Kontsas

Authors
  1. I. Antoniadis
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  2. N. Sariannidis
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  3. S. Kontsas
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Corresponding author

Correspondence to I. Antoniadis .

Editor information

Editors and Affiliations

  1. Department of International Trade, Western Macedonia University of Applied Sciences, Kastoria, Greece

    Nicholas Tsounis

  2. Department of International Trade, Western Macedonia University of Applied Sciences, Kastoria, Greece

    Aspasia Vlachvei

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Antoniadis, I., Sariannidis, N., Kontsas, S. (2018). The Effect of Bitcoin Prices on US Dollar Index Price. In: Tsounis, N., Vlachvei, A. (eds) Advances in Time Series Data Methods in Applied Economic Research. ICOAE 2018. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-02194-8_34

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