The multifractional Brownian motion is a locally dependent Gaussian nonstationary process, whose flexibility in describing complex phenomena justifies its use in financial dynamics modeling. Assuming it as a model of stock indexes, we estimate the pointwise regularity function for the Dow Jones Ind. Avg., the Footsie 100 and the Nikkei 225. We also analyze the pairwise cross-correlation of the functions themselves and compare them with the pairwise cross-correlation of log variations
A random financial stock price model is developed by the interacting contact process, which is one o...
International audienceThe aim of this work is to advocate the use of multifractional Brownian motion...
A method for estimating the cross-correlation Cxy(τ ) of long-range correlated series x(t) and y(t),...
This paper deals with the problem of estimating the pointwise regularity of multifractional Brownian...
We propose a decomposition of financial time series into Gaussian subsequences characterized by a co...
Gaussian process, fractional Brownian motion, multifractional Brownian motion, Hölder regularity, po...
International audienceMultifractional Brownian motion (mBm) was introduced to overcome certain limit...
The article deals with a class of stochastic processes, the Multifractional Processes with Random Ex...
We extend and adapt a class of estimators of the parameter H of the fractional Brownian motion in or...
This paper presents a new estimator of the global regularity index of a multifractional Brownian mot...
We address the general problem of how to quantify the kinematics of time series with stationary firs...
AbstractThe multifractional Brownian motion (MBM) processes are locally self-similar Gaussian proces...
This thesis aims at introducing a new way to model time series objects in statistics using multifrac...
AbstractThe generalized multifractional Brownian motion (GMBM) is a continuous Gaussian process that...
A dynamical assessment of market (in)efficiency is performed under the hypothesis that the price pro...
A random financial stock price model is developed by the interacting contact process, which is one o...
International audienceThe aim of this work is to advocate the use of multifractional Brownian motion...
A method for estimating the cross-correlation Cxy(τ ) of long-range correlated series x(t) and y(t),...
This paper deals with the problem of estimating the pointwise regularity of multifractional Brownian...
We propose a decomposition of financial time series into Gaussian subsequences characterized by a co...
Gaussian process, fractional Brownian motion, multifractional Brownian motion, Hölder regularity, po...
International audienceMultifractional Brownian motion (mBm) was introduced to overcome certain limit...
The article deals with a class of stochastic processes, the Multifractional Processes with Random Ex...
We extend and adapt a class of estimators of the parameter H of the fractional Brownian motion in or...
This paper presents a new estimator of the global regularity index of a multifractional Brownian mot...
We address the general problem of how to quantify the kinematics of time series with stationary firs...
AbstractThe multifractional Brownian motion (MBM) processes are locally self-similar Gaussian proces...
This thesis aims at introducing a new way to model time series objects in statistics using multifrac...
AbstractThe generalized multifractional Brownian motion (GMBM) is a continuous Gaussian process that...
A dynamical assessment of market (in)efficiency is performed under the hypothesis that the price pro...
A random financial stock price model is developed by the interacting contact process, which is one o...
International audienceThe aim of this work is to advocate the use of multifractional Brownian motion...
A method for estimating the cross-correlation Cxy(τ ) of long-range correlated series x(t) and y(t),...