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Information dynamics of price and liquidity around the 2017 Bitcoin markets crash
Vaiva Vasiliauskaite, Fabrizio Lillo, Nino Antulov-Fantulin · 2021-11-17 · via cs.IT updates on arXiv.org

We study the information dynamics between the largest Bitcoin exchange markets during the bubble in 2017-2018. By analysing high-frequency market-microstructure observables with different information theoretic measures for dynamical systems, we find temporal changes in information sharing across markets. In particular, we study the time-varying components of predictability, memory, and synchronous coupling, measured by transfer entropy, active information storage, and multi-information. By comparing these empirical findings with several models we argue that some results could relate to intra-market and inter-market regime shifts, and changes in direction of information flow between different market observables.

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