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Information demand and cryptocurrency market activity

Author

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  • Katsiampa, Paraskevi
  • Moutsianas, Konstantinos
  • Urquhart, Andrew

Abstract

This paper studies the relationship between information demand measured by Google search volume index, price returns, and trading volume for five major cryptocurrencies. We find that past information demand flows significantly influence the volume of all cryptocurrencies except for Litecoin. Moreover, trading volumes are found to Granger cause the information demand flows of Bitcoin, Ripple, and Litecoin, while previous day’s returns significantly influence the information demand flows of all the altcoins.

Suggested Citation

  • Katsiampa, Paraskevi & Moutsianas, Konstantinos & Urquhart, Andrew, 2019. "Information demand and cryptocurrency market activity," Economics Letters, Elsevier, vol. 185(C).
  • Handle: RePEc:eee:ecolet:v:185:y:2019:i:c:s0165176519303556
    DOI: 10.1016/j.econlet.2019.108714
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Marmora, Paul, 2022. "Does monetary policy fuel bitcoin demand? Event-study evidence from emerging markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    2. Smales, L.A., 2022. "Investor attention in cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 79(C).
    3. Yuzhi Cai & Thanaset Chevapatrakul & Danilo V. Mascia, 2021. "How is price explosivity triggered in the cryptocurrency markets?," Annals of Operations Research, Springer, vol. 307(1), pages 37-51, December.
    4. Michael L. Polemis & Mike G. Tsionas, 2023. "The environmental consequences of blockchain technology: A Bayesian quantile cointegration analysis for Bitcoin," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1602-1621, April.
    5. Syed Riaz Mahmood Ali, 2022. "Herding in different states and terms: evidence from the cryptocurrency market," Journal of Asset Management, Palgrave Macmillan, vol. 23(4), pages 322-336, July.
    6. Aspris, Angelo & Foley, Sean & Svec, Jiri & Wang, Leqi, 2021. "Decentralized exchanges: The “wild west” of cryptocurrency trading," International Review of Financial Analysis, Elsevier, vol. 77(C).
    7. 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).
    8. 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).
    9. Marmora, Paul, 2021. "Currency substitution in the shadow economy: International panel evidence using local Bitcoin trade volume," Economics Letters, Elsevier, vol. 205(C).

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    More about this item

    Keywords

    Information demand flows; Bitcoin; Cryptocurrency; Volume; VAR;
    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
    • G1 - Financial Economics - - General Financial Markets

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