Scientific article
OA Policy
English

High-Frequency Jump Analysis of the Bitcoin Market

First online date2017
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.

Keywords
  • Umps
  • High-frequency data
  • Spurious detections
  • Jumps dynamics
  • News releases
  • Cojumps
Citation (ISO format)
SCAILLET, Olivier, TRECCANI, Adrien, TREVISAN, Christopher. High-Frequency Jump Analysis of the Bitcoin Market. In: Journal of financial econometrics, 2017, p. 43. doi: 10.2139/ssrn.2982298
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Article (Published version)
accessLevelPublic
Identifiers
Additional URL for this publicationhttps://www.ssrn.com/abstract=2982298
Journal ISSN1479-8409
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Technical informations

Creation14/08/2026 00:34:47
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