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Volatility discovery in cryptocurrency markets

Author

Listed:
  • Thomas Dimpfl
  • Dalia Elshiaty

Abstract

Purpose - Cryptocurrency markets are notoriously noisy, but not all markets might behave in the exact same way. Therefore, the aim of this paper is to investigate which one of the cryptocurrency markets contributes the most to the common volatility component inherent in the market. Design/methodology/approach - The paper extracts each of the cryptocurrency's markets' latent volatility using a stochastic volatility model and, subsequently, models their dynamics in a fractionally cointegrated vector autoregressive model. The authors use the refinement of Lien and Shrestha (2009, J. Futures Mark) to come up with unique Hasbrouck (1995, J. Finance) information shares. Findings - The authors’ findings indicate that Bitfinex is the leading market for Bitcoin and Ripple, while Bitstamp dominates for Ethereum and Litecoin. Based on the dominant market for each cryptocurrency, the authors find that the volatility of Bitcoin explains most of the volatility among the different cryptocurrencies. Research limitations/implications - The authors’ findings are limited by the availability of the cryptocurrency data. Apart from Bitcoin, the data series for the other cryptocurrencies are not long enough to ensure the precision of the authors’ estimates. Originality/value - To date, only price discovery in cryptocurrencies has been studied and identified. This paper extends the current literature into the realm of volatility discovery. In addition, the authors propose a discrete version for the evolution of a markets fundamental volatility, extending the work of Diaset al.(2018).

Suggested Citation

  • Thomas Dimpfl & Dalia Elshiaty, 2021. "Volatility discovery in cryptocurrency markets," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 22(5), pages 313-331, September.
  • Handle: RePEc:eme:jrfpps:jrf-11-2020-0238
    DOI: 10.1108/JRF-11-2020-0238
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    More about this item

    Keywords

    Volatility; Volatility discovery; Bitcoin; Cryptocurrency; C58; G14; G15;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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