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What drives the liquidity of cryptocurrencies? A long-term analysis

Author

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  • Brauneis, Alexander
  • Mestel, Roland
  • Theissen, Erik

Abstract

We analyze the liquidity of four cryptocurrencies on four large trading venues over a four-year period. We estimate the Abdi-Ranaldo spread estimator from hourly transactions data and compare liquidity across cryptocurrencies and exchanges. In order to identify the drivers of cryptocurrency liquidity we analyze a broad set of explanatory variables from general financial markets, global cryptocurrency markets as well as variables specific to each exchange-currency pair. Volatility of cryptocurrency returns, the dollar trading volume and the number of transactions are the most important determinants of liquidity while general financial market variables have no explanatory power.

Suggested Citation

  • Brauneis, Alexander & Mestel, Roland & Theissen, Erik, 2021. "What drives the liquidity of cryptocurrencies? A long-term analysis," Finance Research Letters, Elsevier, vol. 39(C).
    • Handle: RePEc:eee:finlet:v:39:y:2021:i:c:s154461231931400x
    DOI: 10.1016/j.frl.2020.101537
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    References listed on IDEAS

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    1. Kingsley Y. L. Fong & Craig W. Holden & Charles A. Trzcinka, 2017. "What Are the Best Liquidity Proxies for Global Research?," Review of Finance, European Finance Association, vol. 21(4), pages 1355-1401.
    2. Makarov, Igor & Schoar, Antoinette, 2020. "Trading and arbitrage in cryptocurrency markets," Journal of Financial Economics, Elsevier, vol. 135(2), pages 293-319.
    3. Nina Karnaukh & Angelo Ranaldo & Paul Söderlind, 2015. "Understanding FX Liquidity," Review of Financial Studies, Society for Financial Studies, vol. 28(11), pages 3073-3108.
    4. Trimborn, Simon & Härdle, Wolfgang Karl, 2018. "CRIX an Index for cryptocurrencies," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 107-122.
    5. Brauneis, Alexander & Mestel, Roland, 2018. "Price discovery of cryptocurrencies: Bitcoin and beyond," Economics Letters, Elsevier, vol. 165(C), pages 58-61.
    6. Eross, Andrea & McGroarty, Frank & Urquhart, Andrew & Wolfe, Simon, 2019. "The intraday dynamics of bitcoin," Research in International Business and Finance, Elsevier, vol. 49(C), pages 71-81.
    7. Albert S. Kyle & Anna A. Obizhaeva, 2016. "Market Microstructure Invariance: Empirical Hypotheses," Econometrica, Econometric Society, vol. 84, pages 1345-1404, July.
    8. Hio Loi, 2018. "The Liquidity of Bitcoin," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(1), pages 13-22, January.
    9. Albert S. Kyle & Anna A. Obizhaeva, 2016. "Market Microstructure Invariance: Empirical Hypotheses," Econometrica, Econometric Society, vol. 84(4), pages 1345-1404, July.
    10. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    11. Makarov, Igor & Schoar, Antoinette, 2020. "Trading and arbitrage in cryptocurrency markets," LSE Research Online Documents on Economics 100409, London School of Economics and Political Science, LSE Library.
    12. Kim, Alisa & Trimborn, Simon & Härdle, Wolfgang Karl, 2021. "VCRIX — A volatility index for crypto-currencies," International Review of Financial Analysis, Elsevier, vol. 78(C).
    13. Shane A. Corwin & Paul Schultz, 2012. "A Simple Way to Estimate Bid‐Ask Spreads from Daily High and Low Prices," Journal of Finance, American Finance Association, vol. 67(2), pages 719-760, April.
    14. Roll, Richard, 1984. "A Simple Implicit Measure of the Effective Bid-Ask Spread in an Efficient Market," Journal of Finance, American Finance Association, vol. 39(4), pages 1127-1139, September.
    15. repec:oup:rfinst:v:21:y:2017:i:4:p:1355-1401. is not listed on IDEAS
    16. Farshid Abdi & Angelo Ranaldo, 2017. "A Simple Estimation of Bid-Ask Spreads from Daily Close, High, and Low Prices," Review of Financial Studies, Society for Financial Studies, vol. 30(12), pages 4437-4480.
    17. Dyhrberg, Anne H. & Foley, Sean & Svec, Jiri, 2018. "How investible is Bitcoin? Analyzing the liquidity and transaction costs of Bitcoin markets," Economics Letters, Elsevier, vol. 171(C), pages 140-143.
    18. Wei, Wang Chun, 2018. "Liquidity and market efficiency in cryptocurrencies," Economics Letters, Elsevier, vol. 168(C), pages 21-24.
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    Cited by:

    1. Böyükaslan, Adem & Ecer, Fatih, 2021. "Determination of drivers for investing in cryptocurrencies through a fuzzy full consistency method-Bonferroni (FUCOM-F’B) framework," Technology in Society, Elsevier, vol. 67(C).
    2. Almeida, José & Gonçalves, Tiago Cruz, 2023. "A systematic literature review of investor behavior in the cryptocurrency markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    3. Thomas Dimpfl & Stefania Odelli, 2020. "Bitcoin Price Risk—A Durations Perspective," JRFM, MDPI, vol. 13(7), pages 1-18, July.
    4. Konstantin Hausler, 2022. "ETF construction on CRIX," Papers 2211.15260, arXiv.org, revised Mar 2023.
    5. Kumar Kulbhaskar, Anamika & Subramaniam, Sowmya, 2023. "Breaking news headlines: Impact on trading activity in the cryptocurrency market," Economic Modelling, Elsevier, vol. 126(C).
    6. Ahmed, Walid M.A., 2022. "Robust drivers of Bitcoin price movements: An extreme bounds analysis," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).

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    More about this item

    Keywords

    Cryptocurrencies; Liquidity; Bid-ask spread; Spread estimators; Determinants of liquidity;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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