This article is dedicated for Stock indexes multifractal analysis using so called Wavelet Transform Modulus Maxima (WTMM) approach. This approach is narrated in articles: “Wavelet analysis in Wavelet Transform Modulus Maxima Approach” and “Multifractal formalism in Wavelet Transform Modulus Maxima Approach”. In current research stock index multifractal analysis is done. Objects of experiments are 12 world stock indexes. In current research indexes typical fractal measures are discovered, as well as fractal measure fuzziness. Estimated Multifractal Spectrums are analyzed in crosscorrelation matrix using Pearson correlation coefficients
We attempt empirical detection and characterization of power laws in financial time series. Fraction...
There are numerous research works on the nonlinear analysis of time series, such as chaotic behavior...
<p>a) Daily returns for Polish Stock Market Index WIG; b) Log Scaling Function; c) q-generalized Hur...
This article is dedicated to eliminate financial time series multifractal research method which is b...
In this research Multifractal Indicators Evolution is considered. The Idea of this research is to pr...
This article is dedicated to eliminate financial time series multifractal research method which is b...
In this article fractal scale exponent estimation approach using Continuous Wavelet Transform is con...
The wavelet transform modulus maxima (WTMM) used in the singularity analysis of one fractal function...
The wavelet transform modulus maxima (WTMM) used in the singularity analysis of one fractal function...
We perform a comparative study of applicability of the Multifractal DetrendedFluctuation ...
In this paper the results of multifractal analysis by means of partitions and scaling function calcu...
The authors compare several ways of uncovering multifractal properties of data in 1D and 2D using wa...
<p>a) Daily returns for Hungarian Stock Market Index BUX; b) Log Scaling Function; c) q-generalized ...
A technique termed gradual multifractal reconstruction (GMR) is formulated. A continuum is defined f...
<p>a) Daily returns for Polish Stock Market Index WIG; b) Log Scaling Function; c) q-generalized Hur...
We attempt empirical detection and characterization of power laws in financial time series. Fraction...
There are numerous research works on the nonlinear analysis of time series, such as chaotic behavior...
<p>a) Daily returns for Polish Stock Market Index WIG; b) Log Scaling Function; c) q-generalized Hur...
This article is dedicated to eliminate financial time series multifractal research method which is b...
In this research Multifractal Indicators Evolution is considered. The Idea of this research is to pr...
This article is dedicated to eliminate financial time series multifractal research method which is b...
In this article fractal scale exponent estimation approach using Continuous Wavelet Transform is con...
The wavelet transform modulus maxima (WTMM) used in the singularity analysis of one fractal function...
The wavelet transform modulus maxima (WTMM) used in the singularity analysis of one fractal function...
We perform a comparative study of applicability of the Multifractal DetrendedFluctuation ...
In this paper the results of multifractal analysis by means of partitions and scaling function calcu...
The authors compare several ways of uncovering multifractal properties of data in 1D and 2D using wa...
<p>a) Daily returns for Hungarian Stock Market Index BUX; b) Log Scaling Function; c) q-generalized ...
A technique termed gradual multifractal reconstruction (GMR) is formulated. A continuum is defined f...
<p>a) Daily returns for Polish Stock Market Index WIG; b) Log Scaling Function; c) q-generalized Hur...
We attempt empirical detection and characterization of power laws in financial time series. Fraction...
There are numerous research works on the nonlinear analysis of time series, such as chaotic behavior...
<p>a) Daily returns for Polish Stock Market Index WIG; b) Log Scaling Function; c) q-generalized Hur...