This article is dedicated to eliminate financial time series multifractal research method which is based on both wavelet technique (for scalability research) and multifractal formalism. This multifractal research technique is called Wavelet Transform Modulus Maxima (here and further WTMM). This article should bring the light to the darkest sides of WTMM. This method is intended to be applicable for multifractal research of the most world stock indexes. Narration in current article is following: it begins from exploration of Thermodynamics Partition function estimation next Scaling exponent function and Multifractal spectrum estimations are narrated
We present a direct method of calculation of the multifractal spectrum from the wavelet decompositio...
Several attempts have been made recently to generalize the multifractal formalism, originally introd...
The Random Parameter model was proposed to explain the structure of the covariance matrix in problem...
This article is dedicated to eliminate financial time series multifractal research method which is b...
This article is dedicated for Stock indexes multifractal analysis using so called Wavelet Transform ...
In this research Multifractal Indicators Evolution is considered. The Idea of this research is to pr...
We attempt empirical detection and characterization of power laws in financial time series. Fraction...
In this article fractal scale exponent estimation approach using Continuous Wavelet Transform is con...
The properties of several multifractal formalisms based on wavelet coefficients are compared from bo...
The wavelet transform modulus maxima (WTMM) used in the singularity analysis of one fractal function...
The authors compare several ways of uncovering multifractal properties of data in 1D and 2D using wa...
The wavelet transform modulus maxima (WTMM) used in the singularity analysis of one fractal function...
textabstractWe present a method of detecting and localising outliers in financial time series and ot...
International audienceIn this course, we give the basics of the part of multifractal theory that int...
A fundamental problem in the analysis of multifractal processes is to estimate the scaling exponent ...
We present a direct method of calculation of the multifractal spectrum from the wavelet decompositio...
Several attempts have been made recently to generalize the multifractal formalism, originally introd...
The Random Parameter model was proposed to explain the structure of the covariance matrix in problem...
This article is dedicated to eliminate financial time series multifractal research method which is b...
This article is dedicated for Stock indexes multifractal analysis using so called Wavelet Transform ...
In this research Multifractal Indicators Evolution is considered. The Idea of this research is to pr...
We attempt empirical detection and characterization of power laws in financial time series. Fraction...
In this article fractal scale exponent estimation approach using Continuous Wavelet Transform is con...
The properties of several multifractal formalisms based on wavelet coefficients are compared from bo...
The wavelet transform modulus maxima (WTMM) used in the singularity analysis of one fractal function...
The authors compare several ways of uncovering multifractal properties of data in 1D and 2D using wa...
The wavelet transform modulus maxima (WTMM) used in the singularity analysis of one fractal function...
textabstractWe present a method of detecting and localising outliers in financial time series and ot...
International audienceIn this course, we give the basics of the part of multifractal theory that int...
A fundamental problem in the analysis of multifractal processes is to estimate the scaling exponent ...
We present a direct method of calculation of the multifractal spectrum from the wavelet decompositio...
Several attempts have been made recently to generalize the multifractal formalism, originally introd...
The Random Parameter model was proposed to explain the structure of the covariance matrix in problem...