Estimation and analysis of the Hurst exponent for Australian stocks using wavelet analysis
This article presents an estimation and analysis of the Hurst exponent for Australian stocks using the wavelet technique. Consistent with Mulligan's (2004) study of US technology stocks, we find that the Hurst exponent varies over the cross-section of ...
Elizabeth Maharaj +2 more
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Identifying current and remitted major depressive disorder with the Hurst exponent: a comparative study on two automated anatomical labeling atlases. [PDF]
Jing B +8 more
europepmc +1 more source
Cascading Periods of Language-Related Brain Plasticity Across Early Childhood. [PDF]
Ellwood-Lowe ME +5 more
europepmc +1 more source
Hurst exponent and prediction based on weak-form efficient market hypothesis of stock markets
We empirically investigated the relationships between the degree of efficiency and the predictability in financial time-series data. The Hurst exponent was used as the measurement of the degree of efficiency, and the hit rate calculated from the nearest ...
Woo-Sung Jung +3 more
core
HURST: MATLAB function to compute the Hurst exponent using R/S Analysis.
H = HURST(X) calculates the Hurst exponent of time series X using the R/S analysis of Hurst [2], corrected for small sample bias [1,3,4]. If a vector of increasing natural numbers is given as the second input parameter, i.e.
Rafal Weron
core
Glucose metabolism echoes long-range temporal correlations in the human brain. [PDF]
Facca M +9 more
europepmc +1 more source
Thermophysics-Informed Phenomenological Framework for Molten Material Self-Organization in Laser Remelting-Based Surface Polishing: Conceptualization and Preliminary Analysis. [PDF]
Bordatchev E.
europepmc +1 more source
Study of Localized Corrosion Susceptibility of Ni-Based Superalloys Employing Electrochemical Noise Technique. [PDF]
Almeraya-Calderon F +10 more
europepmc +1 more source
Quantifying cognitive effort's impact on suppression of epilepsy-associated after discharges. [PDF]
Beeram SP +5 more
europepmc +1 more source
A fractal-enhanced deep learning framework for forecasting agricultural production in India. [PDF]
Sharma S, Katiyar K, Sajid M.
europepmc +1 more source

