© 2017, EDP Sciences and Springer.A weak invariant of a stochastic system is defined in such a way that its expectation value with respect to the distribution function as a solution of the associated Fokker-Planck equation is constant in time. A general formula is given for time evolution of the fluctuations of the invariant. An application to the problem of share price in finance is illustrated. It is shown how this theory makes it possible to reduce the growth rate of the fluctuations
International audienceThe Fokker--Planck equation describes the evolution of a probability distribut...
Physical and chemical stochastic processes described by the master equation are investi-gated. The s...
AbstractThe work deals with nonstationary invariant probability distributions of diffusion stochasti...
© 2017, EDP Sciences and Springer.A weak invariant of a stochastic system is defined in such a way t...
A stochastic process or sometimes called random process is the counterpart to a deterministic proces...
We study the evolution of probability distribution functions of returns, from the tick data of the K...
International audienceWe study a kinetic Vlasov/Fokker-Planck equation perturbed by a stochastic for...
Using the theory of Markovian diffusion processes it is established that a non-linear Fokker-Planck ...
In this paper, we study some properties of the generalized Fokker-Planck equation induced by the tim...
The Fokker{Planck equation, or forward Kolmogorov equation, describes the evolution of the probabili...
We present a (semi-) analytical model of asset fluctuations using the framework of Fokker-Planck equ...
Stochastic differential equations are important to model many complex systems. The Fokker-Planck equ...
A necessary precondition for modeling financial markets is a complete understanding of their statist...
Stochastic differential equations are important to model many complex systems. The Fokker-Planck equ...
A necessary precondition for modeling financial markets is a complete understanding of their statist...
International audienceThe Fokker--Planck equation describes the evolution of a probability distribut...
Physical and chemical stochastic processes described by the master equation are investi-gated. The s...
AbstractThe work deals with nonstationary invariant probability distributions of diffusion stochasti...
© 2017, EDP Sciences and Springer.A weak invariant of a stochastic system is defined in such a way t...
A stochastic process or sometimes called random process is the counterpart to a deterministic proces...
We study the evolution of probability distribution functions of returns, from the tick data of the K...
International audienceWe study a kinetic Vlasov/Fokker-Planck equation perturbed by a stochastic for...
Using the theory of Markovian diffusion processes it is established that a non-linear Fokker-Planck ...
In this paper, we study some properties of the generalized Fokker-Planck equation induced by the tim...
The Fokker{Planck equation, or forward Kolmogorov equation, describes the evolution of the probabili...
We present a (semi-) analytical model of asset fluctuations using the framework of Fokker-Planck equ...
Stochastic differential equations are important to model many complex systems. The Fokker-Planck equ...
A necessary precondition for modeling financial markets is a complete understanding of their statist...
Stochastic differential equations are important to model many complex systems. The Fokker-Planck equ...
A necessary precondition for modeling financial markets is a complete understanding of their statist...
International audienceThe Fokker--Planck equation describes the evolution of a probability distribut...
Physical and chemical stochastic processes described by the master equation are investi-gated. The s...
AbstractThe work deals with nonstationary invariant probability distributions of diffusion stochasti...