The battle of informational efficiency: Cryptocurrencies vs. classical assets
Authors:
- Leonardo H.S. FernandesLeonardo H.S. Fernandes
- José R.A. FigueirôaJFJosé R.A. Figueirôa
- Caleb M.F. MartinsCMCaleb M.F. Martins
- Adriel M.F. MartinsAMAdriel M.F. Martins
- 25 February 2025
- journal article
- Published by Elsevier in Physica A: Statistical Mechanics and its Applications
- Vol. 664
Abstract
No abstract availableAll Related Versions
This publication has 89 references indexed in Scilit:
- Hurst exponent dynamics of S&P 500 returns: Implications for market efficiency, long memory, multifractality and financial crises predictability by application of a nonlinear dynamics analysis frameworkChaos, Solitons & Fractals, 2022
- Measuring market efficiency: The Shannon entropy of high-frequency financial time seriesChaos, Solitons & Fractals, 2022
- Characterizing complexity of non-invertible chaotic maps in the Shannon–Fisher information plane with ordinal patternsChaos, Solitons & Fractals, 2021
- Multifractal behavior in return and volatility series of Bitcoin and gold in comparisonChaos, Solitons & Fractals, 2020
- Taxonomy of commodities assets via complexity-entropy causality planeChaos, Solitons & Fractals, 2020
- Using Deep Learning for price prediction by exploiting stationary limit order book featuresApplied Soft Computing, 2020
- Characterization of time series through information quantifiersChaos, Solitons & Fractals, 2020
- Persistence and discontinuity in the VIX dynamicsChaos, Solitons & Fractals, 2018
- The coupling analysis of stock market indices based on cross-permutation entropyNonlinear Dynamics, 2014
- Using a Bootstrap Method to Choose the Sample Fraction in Tail Index EstimationJournal of Multivariate Analysis, 2001