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Causal relationship among cryptocurrencies: A conditional quantile approach

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  • Kim, Myeong Jun
  • Canh, Nguyen Phuc
  • Park, Sung Y.

Abstract

This study uses a Granger non-causality test in quantiles to extend the investigation of the causality among cryptocurrencies. The empirical results reveal that (i) no quantile uncorrelated cryptocurrency is found by the Granger non-causality test in quantiles. (ii) Statistically strong bi-directional causal relationships exist only between Ripple and other cryptocurrencies over the quantile level [0.05, 0.95]. (iii) There are strong causal relationships between cryptocurrencies’ returns over high quantile levels, such as, [0.6, 0.8] and [0.8, 0.95]. (iv) The largest cryptocurrencies, that is, Bitcoin (BTC) and Ethereum (ETH), have stronger causality to smaller ones in high quantiles. The results of the non-causality test suggest a significant causal relationship in the tail quantile, which makes it hard for investors to hedge the risk in the cryptocurrency market.

Suggested Citation

  • Kim, Myeong Jun & Canh, Nguyen Phuc & Park, Sung Y., 2021. "Causal relationship among cryptocurrencies: A conditional quantile approach," Finance Research Letters, Elsevier, vol. 42(C).
    • Handle: RePEc:eee:finlet:v:42:y:2021:i:c:s1544612320316937
    DOI: 10.1016/j.frl.2020.101879
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    Cited by:

    1. Timoth'ee Fabre & Ioane Muni Toke, 2024. "Neural Hawkes: Non-Parametric Estimation in High Dimension and Causality Analysis in Cryptocurrency Markets," Papers 2401.09361, arXiv.org, revised Jan 2024.
    2. Cynthia Weiyi Cai & Rui Xue & Bi Zhou, 2023. "Cryptocurrency puzzles: a comprehensive review and re-introduction," Journal of Accounting Literature, Emerald Group Publishing Limited, vol. 46(1), pages 26-50, June.
    3. Fang, Sheng & Cao, Guangxi & Egan, Paul, 2023. "Forecasting and backtesting systemic risk in the cryptocurrency market," Finance Research Letters, Elsevier, vol. 54(C).

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    More about this item

    Keywords

    Cryptocurrency; Quantile regression; Quantile non-causality test; Robust non-causality;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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