An accurate algorithm to calculate the Hurst exponent of self-similar processes
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Publication:489372
DOI10.1016/j.physleta.2014.06.018zbMath1303.60029OpenAlexW2063949022MaRDI QIDQ489372
I. M. Román-Sánchez, Manuel Fernández-Martínez, Juan Evangelista Trinidad Segovia, Miguel Angel Sánchez-Granero
Publication date: 20 January 2015
Published in: Physics Letters. A (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.physleta.2014.06.018
Related Items (6)
A note on power-law cross-correlated processes ⋮ A new topological indicator for chaos in mechanical systems ⋮ Bayesian approach to Hurst exponent estimation ⋮ Extending the Fama and French model with a long term memory factor ⋮ Wavelet-based estimations of fractional Brownian sheet: least squares versus maximum likelihood ⋮ A theoretical framework for the TTA algorithm
Cites Work
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- Multifractal detrended fluctuation analysis of nonstationary time series
- The Pricing of Options and Corporate Liabilities
- Estimating long-range dependence in the presence of periodicity: An empirical study
- Stock market prices and long-range dependence
- Estimating long-range dependence: Finite sample properties and confidence intervals
- Scaling behaviors in differently developed markets
- Does composite index of NYSE represents chaos in the long time scale?
- ESTIMATORS FOR LONG-RANGE DEPENDENCE: AN EMPIRICAL STUDY
- THE ESTIMATION AND APPLICATION OF LONG MEMORY TIME SERIES MODELS
- The Long Memory of the Efficient Market
- Multi-scaling in finance
- Long-Term Memory in Stock Market Prices
- Empirical properties of asset returns: stylized facts and statistical issues
- A wavelet-based joint estimator of the parameters of long-range dependence
- Semi-Stable Stochastic Processes
- Modelling stock price movements: multifractality or multifractionality?
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