doi:10.1088/1742-5468/2009/03/P03037 Abstract. A method for estimating the cross-correlation Cxy(τ) of long-range correlated series x(t) and y(t), at varying lags τ and scales n, is proposed. For fractional Brownian motions with Hurst exponents H1 and H2, the asymptotic expression for Cxy(τ) depends only on the lag τ (wide-sense stationarity) and scales as a power of n with exponent H1 + H2 for τ → 0. The method is illustrated on: (i) financial series, to show the leverage effect; (ii) genomic sequences, to estimate the correlations between structural parameters along the chromosomes
The study of the dependences between different assets is a classic topic in financial literature. To...
<p>(A) Detrended fluctuation analysis (DFA, see Methods Section B) of white player’s advantage incre...
<p>Lagged cross-correlation between the logarithmic return of the S&P 500 index and the logarithmic ...
A method for estimating the cross-correlation Cxy(τ ) of long-range correlated series x(t) and y(t),...
We study long-range magnitude cross-correlations in collective modes of real-world data from finance...
We develop a stochastic process with two coupled variables where the absolute values of each variabl...
In order to quantify the long-range cross-correlations between two time series qualitatively, we in...
The motivation of this thesis is to provide a basic framework for treating long-range cross-correlat...
We propose a modified time lag random matrix theory in order to study time-lag cross correlations in...
To assess whether a given time series can be modeled by a stochastic process possessing long range c...
Notwithstanding the significant efforts to develop estimators of long-range correlations (LRC) and t...
In the paper, we introduce a new measure of correlation between possibly non-stationary series. As t...
The concept of cross-correlation has been developed in two distinct fields: signal processing and st...
D.Phil. (Mathematical Statistics)Fractional Brownian motion and its increment process, fractional Ga...
The computation of the bivariate Hurst exponent constitutes an important technique to test the power...
The study of the dependences between different assets is a classic topic in financial literature. To...
<p>(A) Detrended fluctuation analysis (DFA, see Methods Section B) of white player’s advantage incre...
<p>Lagged cross-correlation between the logarithmic return of the S&P 500 index and the logarithmic ...
A method for estimating the cross-correlation Cxy(τ ) of long-range correlated series x(t) and y(t),...
We study long-range magnitude cross-correlations in collective modes of real-world data from finance...
We develop a stochastic process with two coupled variables where the absolute values of each variabl...
In order to quantify the long-range cross-correlations between two time series qualitatively, we in...
The motivation of this thesis is to provide a basic framework for treating long-range cross-correlat...
We propose a modified time lag random matrix theory in order to study time-lag cross correlations in...
To assess whether a given time series can be modeled by a stochastic process possessing long range c...
Notwithstanding the significant efforts to develop estimators of long-range correlations (LRC) and t...
In the paper, we introduce a new measure of correlation between possibly non-stationary series. As t...
The concept of cross-correlation has been developed in two distinct fields: signal processing and st...
D.Phil. (Mathematical Statistics)Fractional Brownian motion and its increment process, fractional Ga...
The computation of the bivariate Hurst exponent constitutes an important technique to test the power...
The study of the dependences between different assets is a classic topic in financial literature. To...
<p>(A) Detrended fluctuation analysis (DFA, see Methods Section B) of white player’s advantage incre...
<p>Lagged cross-correlation between the logarithmic return of the S&P 500 index and the logarithmic ...