Dependency structures in cryptocurrency market from high to low frequency - CORE Reader thumbnail
Dependency structures in cryptocurrency market from high to low frequency - CORE Reader
core.ac.uk
We investigate logarithmic price returns cross-correlations at different time horizons for aset of 25 liquid cryptocurrencies traded on the FTX digital currency exchange. Results give a deepinsight into the evolutionary process of the time dependent hierarchical organization of the systemunder analy
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  • We investigate logarithmic price returns cross-correlations at different time horizons for aset of 25 liquid cryptocurrencies traded on the FTX digital currency exchange.
  • Results give a deepinsight into the evolutionary process of the time dependent hierarchical organization of the systemunder analysis
  • Such an algorithm extracts a planar subgraph which optimises an objective functionquantifying the gain of adding a new vertex to the existing tetrahedron.
  • In both cases, we observe the “Epps effect”, i.e., a decrease in pair correlations at finertime sampling resolutions.
  • Results reported in Figure 3 show how, also in the cryptocurrency market,the intra-sector correlation increases faster than pairwise one.

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graph
Research
Event Driven
Paper
machine learning
Crypto
AI

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