ArticleEntropy (Basel, Switzerland)2022
Shannon Entropy: An Econophysical Approach to Cryptocurrency Portfolios.
Article in Entropy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Geodesic Execution Slippage: A Statistical Physics Framework for Cryptocurrency Liquidity Risk.Entropy (Basel, Switzerland) · 2026Article
- Information Theory Quantifiers in Cryptocurrency Time Series Analysis.Entropy (Basel, Switzerland) · 2025Article
- Selected Topics in Time Series Forecasting: Statistical Models vs. Machine Learning.Entropy (Basel, Switzerland) · 2025Review
- Analysis of the Spatiotemporal Heterogeneity and Influencing Factors of Regional Economic Resilience in China.Entropy (Basel, Switzerland) · 2024Article
- Inferring Dealer Networks in the Foreign Exchange Market Using Conditional Transfer Entropy: Analysis of a Central Bank Announcement.Entropy (Basel, Switzerland) · 2024Article
- A K-Means Classification and Entropy Pooling Portfolio Strategy for Small and Large Capitalization Cryptocurrencies.Entropy (Basel, Switzerland) · 2023Article
- Entropy of Financial Time Series Due to the Shock of War.Entropy (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Cryptocurrency markets have attracted many interest for global investors because of their novelty, wide on-line availability, increasing capitalization, and potential profits. In the econophysics tradition, we show that many of the most available cryptocurrencies have return statistics that do not follow Gaussian distributions, instead following heavy-tailed distributions. Entropy measures are applied, showing that portfolio diversification is a reasonable practice for decreasing return uncertainty.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.