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The Day of the Week Effect in the Crypto Currency Market

Author

Listed:
  • Guglielmo Maria Caporale
  • Alex Plastun

Abstract

This paper examines the day of the week effect in the crypto currency market using a variety of statistical techniques (average analysis, Student's t-test, ANOVA, the Kruskal-Wallis test, and regression analysis with dummy variables) as well as a trading simulation approach. Most crypto currencies (LiteCoin, Ripple, Dash) are found not to exhibit this anomaly. The only exception is BitCoin, for which returns on Mondays are significantly higher than those on the other days of the week. In this case the trading simulation analysis shows that there exist exploitable profit opportunities that can be interpreted as evidence against efficiency of the crypto currency market.

Suggested Citation

  • Guglielmo Maria Caporale & Alex Plastun, 2017. "The Day of the Week Effect in the Crypto Currency Market," CESifo Working Paper Series 6716, CESifo.
    • Handle: RePEc:ces:ceswps:_6716
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    References listed on IDEAS

    as
    1. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Alex Plastun, 2016. "The weekend effect: an exploitable anomaly in the Ukrainian stock market?," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 43(6), pages 954-965, November.
    2. Urquhart, Andrew, 2016. "The inefficiency of Bitcoin," Economics Letters, Elsevier, vol. 148(C), pages 80-82.
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    5. Yutaka Kurihara & Akio Fukushima, 2017. "The Market Efficiency of Bitcoin: A Weekly Anomaly Perspective," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 7(3), pages 1-4.
    6. Guglielmo Maria Caporale & Luis Gil-Alana & Alex Plastun & Inna Makarenko, 2014. "The Weekend Effect: A Trading Robot and Fractional Integration Analysis," Discussion Papers of DIW Berlin 1386, DIW Berlin, German Institute for Economic Research.
    7. Adrian (Wai-Kong) Cheung & Eduardo Roca & Jen-Je Su, 2015. "Crypto-currency bubbles: an application of the Phillips-Shi-Yu (2013) methodology on Mt. Gox bitcoin prices," Applied Economics, Taylor & Francis Journals, vol. 47(23), pages 2348-2358, May.
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    9. Guglielmo Maria Caporale & Luis Gil-Alana & Alex Plastun & Inna Makarenko, 2017. "The weekend effect: a fractional integration and trading robot analysis," International Journal of Bonds and Derivatives, Inderscience Enterprises Ltd, vol. 3(2), pages 114-131.
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    14. Guglielmo Maria Caporale & Alex Plastun, 2016. "Calendar Anomalies in the Ukrainian Stock Market," CESifo Working Paper Series 5877, CESifo.
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    More about this item

    Keywords

    efficient market hypothesis; day of the week effect; crypto currency; BitCoin; anomaly; trading strategy;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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