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Realised volatility connectedness among Bitcoin exchange markets

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  • Ji, Qiang
  • Bouri, Elie
  • Kristoufek, Ladislav
  • Lucey, Brian

Abstract

This paper examines the system of Bitcoin exchanges with respect to their common dynamics. We employ connectedness measures based on the daily realised volatility of Bitcoin prices, for which the results reveal that Coinbase is the clear leader of the market, while Binance ranks surprisingly weak. The positions of specific exchanges within the network of connectedness seem to be driven by these exchanges’ own characteristics, from which trading in USD rather than USDT (Tether) stands out. Our findings suggest that safer asset withdrawal matters more to the volatility connectedness among Bitcoin exchanges than does trading volume.

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  • Ji, Qiang & Bouri, Elie & Kristoufek, Ladislav & Lucey, Brian, 2021. "Realised volatility connectedness among Bitcoin exchange markets," Finance Research Letters, Elsevier, vol. 38(C).
    • Handle: RePEc:eee:finlet:v:38:y:2021:i:c:s1544612319310773
    DOI: 10.1016/j.frl.2019.101391
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    References listed on IDEAS

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    Cited by:

    1. Al Guindy, Mohamed, 2021. "Cryptocurrency price volatility and investor attention," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 556-570.
    2. Kumar, Ashish & Iqbal, Najaf & Mitra, Subrata Kumar & Kristoufek, Ladislav & Bouri, Elie, 2022. "Connectedness among major cryptocurrencies in standard times and during the COVID-19 outbreak," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    3. Carol Alexander & Daniel F. Heck & Andreas Kaeck, 2022. "The Role of Binance in Bitcoin Volatility Transmission," Applied Mathematical Finance, Taylor & Francis Journals, vol. 29(1), pages 1-32, January.
    4. Cheuk Hang Au & Kevin K. W. Ho & Kris. M. Y. Law & Dickson K. W. Chiu, 2024. "Critical success factors of users’ continuous intention of adopting cryptocurrency exchanges: LAS-VICT principle," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-16, December.
    5. Ahmed, Mohamed Shaker & El-Masry, Ahmed A. & Al-Maghyereh, Aktham I. & Kumar, Satish, 2024. "Cryptocurrency volatility: A review, synthesis, and research agenda," Research in International Business and Finance, Elsevier, vol. 71(C).
    6. Li, Zhenghui & Mo, Bin & Nie, He, 2023. "Time and frequency dynamic connectedness between cryptocurrencies and financial assets in China," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 46-57.
    7. Yu, Xing & Shen, Xilin & Li, Yanyan & Gong, Xue, 2023. "Selective hedging strategies for crude oil futures based on market state expectations," Global Finance Journal, Elsevier, vol. 57(C).
    8. Ma, Yu & Luan, Zhiqian, 2022. "Ethereum synchronicity, upside volatility and Bitcoin crash risk," Finance Research Letters, Elsevier, vol. 46(PA).
    9. Kumar, Anoop S & Padakandla, Steven Raj, 2022. "Testing the safe-haven properties of gold and bitcoin in the backdrop of COVID-19: A wavelet quantile correlation approach," Finance Research Letters, Elsevier, vol. 47(PB).
    10. Kristoufek, Ladislav & Bouri, Elie, 2023. "Exploring sources of statistical arbitrage opportunities among Bitcoin exchanges," Finance Research Letters, Elsevier, vol. 51(C).
    11. Adedeji Daniel Gbadebo, 2023. "Dynamic Asymmetric Causality of Bitcoin’s Price-Volume Relation," SAGE Open, , vol. 13(4), pages 21582440231, December.
    12. Sofiane Aboura, 2022. "A note on the Bitcoin and Fed Funds rate," Empirical Economics, Springer, vol. 63(5), pages 2577-2603, November.
    13. Sun, Chuanwang & Min, Jialin & Sun, Jiacheng & Gong, Xu, 2023. "The role of China's crude oil futures in world oil futures market and China's financial market," Energy Economics, Elsevier, vol. 120(C).
    14. Alessio Brini & Jimmie Lenz, 2024. "A Comparison of Cryptocurrency Volatility-benchmarking New and Mature Asset Classes," Papers 2404.04962, arXiv.org.
    15. Chen, Baifan & Huang, Jionghao & Liu, Danhe & Xia, Xiaohua, 2024. "Time-frequency return connectedness between Chinese coal futures and international stock indices," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 316-333.

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