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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," Discussion Papers of DIW Berlin 1694, DIW Berlin, German Institute for Economic Research.
  • Handle: RePEc:diw:diwwpp:dp1694
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    File URL: https://www.diw.de/documents/publikationen/73/diw_01.c.567277.de/dp1694.pdf
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    References listed on IDEAS

    as
    1. Schwert, G. William, 2003. "Anomalies and market efficiency," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 15, pages 939-974, Elsevier.
    2. Neil Gandal & Hanna Halaburda, 2014. "Competition in the Cryptocurrency Market," Staff Working Papers 14-33, Bank of Canada.
    3. Rogalski, Richard J, 1984. "New Findings Regarding Day-of-the-Week Returns over Trading and Non-trading Periods: A Note," Journal of Finance, American Finance Association, vol. 39(5), pages 1603-1614, December.
    4. 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.
    5. Urquhart, Andrew, 2016. "The inefficiency of Bitcoin," Economics Letters, Elsevier, vol. 148(C), pages 80-82.
    6. 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.
    7. M. J. Fields, 1931. "Stock Prices: A Problem in Verification," The Journal of Business, University of Chicago Press, vol. 4, pages 415-415.
    8. Guglielmo Maria Caporale & Luis A. Gil-Alana & Alex Plastun & Inna Makarenko, 2014. "The Weekend Effect: A Trading Robot and Fractional Integration Analysis," CESifo Working Paper Series 4849, CESifo.
    9. Guglielmo Maria Caporale & Alex Plastun, 2016. "Calendar Anomalies in the Ukrainian Stock Market," CESifo Working Paper Series 5877, CESifo.
    10. Peter Fortune, 1998. "Weekends can be rough: revisiting the weekend effect in stock prices," Working Papers 98-6, Federal Reserve Bank of Boston.
    11. Ariel, Robert A, 1990. "High Stock Returns before Holidays: Existence and Evidence on Possible Causes," Journal of Finance, American Finance Association, vol. 45(5), pages 1611-1626, December.
    12. Jon Carrick, 2016. "Bitcoin as a Complement to Emerging Market Currencies," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(10), pages 2321-2334, October.
    13. Smirlock, Michael & Starks, Laura, 1986. "Day-of-the-week and intraday effects in stock returns," Journal of Financial Economics, Elsevier, vol. 17(1), pages 197-210, September.
    14. French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
    15. Jensen, Michael C., 1978. "Some anomalous evidence regarding market efficiency," Journal of Financial Economics, Elsevier, vol. 6(2-3), pages 95-101.
    16. 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.
    17. 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.
    18. Gibbons, Michael R & Hess, Patrick, 1981. "Day of the Week Effects and Asset Returns," The Journal of Business, University of Chicago Press, vol. 54(4), pages 579-596, October.
    19. Jakub Bartos, 2015. "Does Bitcoin follow the hypothesis of efficient market?," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 4(2), pages 10-23, June.
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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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