Information Theory Quantifiers in Cryptocurrency Time Series Analysis
This paper investigates the temporal evolution of cryptocurrency time series using information measures such as complexity, entropy, and Fisher information. The main objective is to differentiate between various levels of randomness and chaos. The methodology was applied to 176 daily closing price t...
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| Main Authors: | Micaela Suriano, Leonidas Facundo Caram, Cesar Caiafa, Hernán Daniel Merlino, Osvaldo Anibal Rosso |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Entropy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1099-4300/27/4/450 |
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