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The day-of-the-week pattern of price clustering in Bitcoin

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  • Cedric L. Mbanga

Abstract

Following Urquhart (2017) who finds evidence of price clustering in Bitcoin, we answer the question of whether the documented price clustering in Bitcoin is driven by any given day-of-the-week. We find evidence that Bitcoin prices cluster around whole numbers more on Fridays and least on Mondays. We also show that Bitcoin price clustering around the top three most frequent two-digit decimals is primarily a Friday phenomenon.

Suggested Citation

  • Cedric L. Mbanga, 2019. "The day-of-the-week pattern of price clustering in Bitcoin," Applied Economics Letters, Taylor & Francis Journals, vol. 26(10), pages 807-811, June.
    • Handle: RePEc:taf:apeclt:v:26:y:2019:i:10:p:807-811
    DOI: 10.1080/13504851.2018.1497844
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    Cited by:

    1. Mueller, Lukas, 2024. "Revisiting seasonality in cryptocurrencies," Finance Research Letters, Elsevier, vol. 64(C).
    2. Abdelhakim Aknouche & Bader Almohaimeed & Stefanos Dimitrakopoulos, 2022. "Periodic autoregressive conditional duration," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(1), pages 5-29, January.
    3. Han, SeungOh, 2024. "Price clustering on cryptocurrency order books at a US-based exchange," Journal of Behavioral and Experimental Finance, Elsevier, vol. 41(C).
    4. Gianna Figà-Talamanca & Marco Patacca, 2020. "Disentangling the relationship between Bitcoin and market attention measures," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(1), pages 71-91, March.
    5. Telli, Şahin & Zhao, Xufeng, 2023. "Clustering in Bitcoin balance," Finance Research Letters, Elsevier, vol. 55(PA).
    6. Shanaev, Savva & Ghimire, Binam, 2022. "A generalised seasonality test and applications for cryptocurrency and stock market seasonality," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 172-185.
    7. Qadan, Mahmoud & Aharon, David Y. & Eichel, Ron, 2022. "Seasonal and Calendar Effects and the Price Efficiency of Cryptocurrencies," Finance Research Letters, Elsevier, vol. 46(PA).
    8. Donglian Ma & Hisashi Tanizaki, 2022. "Intraday patterns of price clustering in Bitcoin," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-25, December.
    9. Vladim'ir Hol'y & Petra Tomanov'a, 2021. "Modeling Price Clustering in High-Frequency Prices," Papers 2102.12112, arXiv.org, revised Mar 2021.
    10. Aknouche, Abdelhakim & Almohaimeed, Bader & Dimitrakopoulos, Stefanos, 2020. "Periodic autoregressive conditional duration," MPRA Paper 101696, University Library of Munich, Germany, revised 08 Jul 2020.
    11. Aslanidis, Nektarios & Fernández Bariviera, Aurelio & Savva, Christos S., 2020. "Weekly dynamic conditional correlations among cryptocurrencies and traditional assets," Working Papers 2072/417680, Universitat Rovira i Virgili, Department of Economics.

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