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High-frequency jump analysis of the bitcoin market

Author

Listed:
  • Scaillet, Olivier
  • Treccani, Adrien
  • Trevisan, Christopher

Abstract

We use the database leak of Mt. Gox exchange to analyze the dynamics of the price of bitcoin from June 2011 to November 2013. This gives us a rare opportunity to study an emerging retail-focused, highly speculative and unregulated market with trader identifiers at a tick transaction level. Jumps are frequent events and they cluster in time. The order flow imbalance and the preponderance of aggressive traders, as well as a widening of the bid-ask spread predict them. Jumps have short-term positive impact on market activity and illiquidity and see a persistent change in the price.

Suggested Citation

  • Scaillet, Olivier & Treccani, Adrien & Trevisan, Christopher, 2017. "High-frequency jump analysis of the bitcoin market," Working Papers unige:93900, University of Geneva, Geneva School of Economics and Management.
    • Handle: RePEc:gnv:wpgsem:unige:93900
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    References listed on IDEAS

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    More about this item

    Keywords

    Jump; Liquidity; High-frequency data; Bitcoin;
    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
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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