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Comovement and Instability in Cryptocurrency Markets

Author

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  • De Pace, Pierangelo

    (Pomona College)

  • Rao, Jayant

    (Claremont Graduate University)

Abstract

We analyze the correlations of daily price returns for nine major cryptocurrencies between April 2013 and November 2018 and estimate their evolution using bivariate and multivariate modelling approaches. We detect pronounced time variation and fid these correlations to be generally increasing between early 2017 and late 2018. We then adopt a right-tail variation of the Augmented Dickey-Fuller unit root test to identify and date-stamp periods of mildly explosive behavior (statistical instability) in the time series of the Network Value to Transactions (NVT) ratio (a measure of the dollar value of cryptocurrency transaction activity relative to its network value) of six cryptocurrencies. We show statistically significant evidence of mild explosiveness in all of them. At the end of 2017 and in 2018, several major cryptocurrencies experience significant (often simultaneous) instability associated with rising NVT ratios. Instability is a steady feature of cryptocurrency markets.

Suggested Citation

  • De Pace, Pierangelo & Rao, Jayant, 2020. "Comovement and Instability in Cryptocurrency Markets," Economics Department, Working Paper Series 1012, Economics Department, Pomona College, revised 14 Jan 2020.
  • Handle: RePEc:clm:pomwps:1012
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    File URL: https://scholarship.claremont.edu/cgi/viewcontent.cgi?article=1012&context=pomona_fac_econ
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    Cited by:

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    2. Abakah, Emmanuel Joel Aikins & Wali Ullah, GM & Adekoya, Oluwasegun B. & Osei Bonsu, Christiana & Abdullah, Mohammad, 2023. "Blockchain market and eco-friendly financial assets: Dynamic price correlation, connectedness and spillovers with portfolio implications," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 218-243.
    3. Conlon, Thomas & Corbet, Shaen & Hou, Yang (Greg), 2024. "Contagion effects of permissionless, worthless cryptocurrency tokens: Evidence from the collapse of FTX," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    4. Huang, Linxian, 2024. "The relationship between cryptocurrencies and convention financial market: Dynamic causality test and time-varying influence," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 811-826.

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    More about this item

    Keywords

    Asset Pricing; Cryptocurrencies; Comovement; Bubbles; Mild Explosiveness;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G1 - Financial Economics - - General Financial Markets
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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