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Liquidity uncertainty and Bitcoin’s market microstructure

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  • Koutmos, Dimitrios

Abstract

This paper provides a novel measure of liquidity uncertainty for Bitcoin using bid–ask spread data from Bitfinex − one of the largest and most liquid Bitcoin exchanges. This measure can be used to analyze liquidity developments in Bitcoin exchanges or to gauge the immediacy associated with buying or selling Bitcoin. It then proceeds to identify what aspects of Bitcoin’s market microstructure can explain the time series behavior of this liquidity uncertainty. The estimation results are based on a Markov regime-switching model that captures episodes of high and low liquidity uncertainty for Bitcoin over the period from October 2013 to March 2018.

Suggested Citation

  • Koutmos, Dimitrios, 2018. "Liquidity uncertainty and Bitcoin’s market microstructure," Economics Letters, Elsevier, vol. 172(C), pages 97-101.
  • Handle: RePEc:eee:ecolet:v:172:y:2018:i:c:p:97-101
    DOI: 10.1016/j.econlet.2018.08.041
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    References listed on IDEAS

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    1. Pavel Ciaian & Miroslava Rajcaniova & d’Artis Kancs, 2016. "The economics of BitCoin price formation," Applied Economics, Taylor & Francis Journals, vol. 48(19), pages 1799-1815, April.
    2. Urquhart, Andrew, 2017. "Price clustering in Bitcoin," Economics Letters, Elsevier, vol. 159(C), pages 145-148.
    3. Cheah, Eng-Tuck & Mishra, Tapas & Parhi, Mamata & Zhang, Zhuang, 2018. "Long Memory Interdependency and Inefficiency in Bitcoin Markets," Economics Letters, Elsevier, vol. 167(C), pages 18-25.
    4. Nadarajah, Saralees & Chu, Jeffrey, 2017. "On the inefficiency of Bitcoin," Economics Letters, Elsevier, vol. 150(C), pages 6-9.
    5. Gandal, Neil & Hamrick, JT & Moore, Tyler & Oberman, Tali, 2018. "Price manipulation in the Bitcoin ecosystem," Journal of Monetary Economics, Elsevier, vol. 95(C), pages 86-96.
    6. Khuntia, Sashikanta & Pattanayak, J.K., 2018. "Adaptive market hypothesis and evolving predictability of bitcoin," Economics Letters, Elsevier, vol. 167(C), pages 26-28.
    7. Katsiampa, Paraskevi, 2017. "Volatility estimation for Bitcoin: A comparison of GARCH models," Economics Letters, Elsevier, vol. 158(C), pages 3-6.
    8. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    9. Hamilton, James D., 1988. "Rational-expectations econometric analysis of changes in regime : An investigation of the term structure of interest rates," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 385-423.
    10. Mr. Torbjorn I. Becker & Mr. Amadou N Sy, 2005. "Were Bid-Ask Spreads in the Foreign Exchange Market Excessive During the Asian Crisis?," IMF Working Papers 2005/034, International Monetary Fund.
    11. Koutmos, Dimitrios, 2018. "Bitcoin returns and transaction activity," Economics Letters, Elsevier, vol. 167(C), pages 81-85.
    12. Stephanie Lo & J. Christina Wang, 2014. "Bitcoin as money?," Current Policy Perspectives 14-4, Federal Reserve Bank of Boston.
    13. Wei, Wang Chun, 2018. "Liquidity and market efficiency in cryptocurrencies," Economics Letters, Elsevier, vol. 168(C), pages 21-24.
    14. Symitsi, Efthymia & Chalvatzis, Konstantinos J., 2018. "Return, volatility and shock spillovers of Bitcoin with energy and technology companies," Economics Letters, Elsevier, vol. 170(C), pages 127-130.
    15. Phillip, Andrew & Chan, Jennifer S.K. & Peiris, Shelton, 2018. "A new look at Cryptocurrencies," Economics Letters, Elsevier, vol. 163(C), pages 6-9.
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    More about this item

    Keywords

    Bitcoin; GARCH; Liquidity; Market microstructure; Markov regime-switching;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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