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Comovement in the Cryptocurrency Market

Author

Listed:
  • Benjamin Blau

    (Utah State University)

  • Todd Griffith

    (Utah State University)

  • Ryan Whitby

    (Utah State University)

Abstract

This study examines the comovement between 17 of the most active cryptocurrencies. We are unable to statistically reject the presence of perfect comovement between Bitcoin and six of the 16 non-Bitcoin cryptocurrencies. Consistent with the friction-based explanation for the presence of comovement, once the CBOE introduced futures contracts on Bitcoin, we find that all 16 cryptocurrencies comove with Bitcoin. These results suggest that introducing futures contracts improves the informational environment of the entire cryptocurrency market, which helps explain the unusual comovement in the cryptocurrency market.

Suggested Citation

  • Benjamin Blau & Todd Griffith & Ryan Whitby, 2020. "Comovement in the Cryptocurrency Market," Economics Bulletin, AccessEcon, vol. 40(1), pages 448-455.
    • Handle: RePEc:ebl:ecbull:eb-19-00834
    as

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    References listed on IDEAS

    as
    1. Chen, Honghui & Singal, Vijay & Whitelaw, Robert F., 2016. "Comovement revisited," Journal of Financial Economics, Elsevier, vol. 121(3), pages 624-644.
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    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Disli, Mustafa & Abd Rabbo, Fatima & Leneeuw, Thibault & Nagayev, Ruslan, 2022. "Cryptocurrency comovements and crypto exchange movement: The relocation of Binance," Finance Research Letters, Elsevier, vol. 48(C).
    2. Gianna Figá-Talamanca & Sergio Focardi & Marco Patacca, 2021. "Common dynamic factors for cryptocurrencies and multiple pair-trading statistical arbitrages," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 863-882, December.
    3. Ata Assaf & Luis Alberiko Gil-Alana & Khaled Mokni, 2022. "True or spurious long memory in the cryptocurrency markets: evidence from a multivariate test and other Whittle estimation methods," Empirical Economics, Springer, vol. 63(3), pages 1543-1570, September.
    4. Blau, Benjamin M. & Griffith, Todd G. & Whitby, Ryan J., 2021. "Inflation and Bitcoin: A descriptive time-series analysis," Economics Letters, Elsevier, vol. 203(C).
    5. Alessandra Cretarola & Gianna Figà-Talamanca & Cyril Grunspan, 2021. "Blockchain and cryptocurrencies: economic and financial research," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 781-787, December.
    6. Jie Cheng, 2023. "Modelling and forecasting risk dependence and portfolio VaR for cryptocurrencies," Empirical Economics, Springer, vol. 65(2), pages 899-924, August.
    7. Figà-Talamanca, Gianna & Focardi, Sergio & Patacca, Marco, 2021. "Regime switches and commonalities of the cryptocurrencies asset class," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    8. Assaf, Ata & Bilgin, Mehmet Huseyin & Demir, Ender, 2022. "Using transfer entropy to measure information flows between cryptocurrencies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).

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    More about this item

    Keywords

    Bitcoin; Cryptocurrency; Markets; Comovement; Futures Markets;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • D4 - Microeconomics - - Market Structure, Pricing, and Design

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