Results 31 to 40 of about 2,620 (124)
Calibration and simulation of Heston model
We calibrate Heston stochastic volatility model to real market data using several optimization techniques. We compare both global and local optimizers for different weights showing remarkable differences even for data (DAX options) from two consecutive ...
Mrázek Milan, Pospíšil Jan
doaj +1 more source
Stochastic flows with interaction and measure‐valued processes
We consider the new class of the Markov measure‐valued stochastic processes with constant mass. We give the construction of such processes with the family of the probabilities which describe the motion of single particles. We also consider examples related to stochastic flows with the interactions and the local times for such processes.
Andrey A. Dorogovtsev
wiley +1 more source
Intermittent quasistatic dynamical systems: weak convergence of fluctuations
This paper is about statistical properties of quasistatic dynamical systems. These are a class of non-stationary systems that model situations where the dynamics change very slowly over time due to external influences. We focus on the case where the time-
Leppänen Juho
doaj +1 more source
Functional integro‐differential stochastic evolution equations in Hilbert space
We investigate a class of abstract functional integro‐differential stochastic evolution equations in a real separable Hilbert space. Global existence results concerning mild and periodic solutions are formulated under various growth and compactness conditions.
David N. Keck, Mark A. McKibben
wiley +1 more source
Periodicity in distribution. I. Discrete systems
We consider the existence of periodic in distribution solutions to the difference equations in a Banach space. A random process is called periodic in distribution if all its finite‐dimensional distributions are periodic with respect to shift of time with one period. Only averaged characteristics of a periodic process are periodic functions.
A. Ya. Dorogovtsev
wiley +1 more source
The arctangent law for a certain random time related to a one-dimensional diffusion
For a time-homogeneous, one-dimensional diffusion process $X(t),$ we investigate the distribution of the first instant, after a given time $r,$ at which $X(t)$ exceeds its maximum on the interval $[0,r],$ generalizing a result of Papanicolaou, which is ...
Abundo, Mario
core +1 more source
Discretizing a backward stochastic differential equation
We show a simple method to discretize Pardoux‐Peng′s nonlinear backward stochastic differential equation. This discretization scheme also gives a numerical method to solve a class of semi‐linear PDEs.
Yinnan Zhang, Weian Zheng
wiley +1 more source
This article can be considered as a continuation of Petrović and Milošević [The truncated Euler-Maruyama method for highly nonlinear neutral stochastic differential equations with time-dependent delay, Filomat 35 (2021), no.
Petrović Aleksandra M.
doaj +1 more source
Approximations of center manifolds for delay stochastic differential equations with additive noise
This article deals with approximations of center manifolds for delay stochastic differential equations with additive noise. We first prove the existence and smoothness of random center manifolds for these approximation equations. Then we show that the Ck{
Wu Longyu +3 more
doaj +1 more source
A Haussmann‐Clark‐Ocone formula for functionals of diffusion processes with Lipschitz coefficients
We establish a martingale representation formula for functionals of diffusion processes with Lipschitz coefficients, as stochastic integrals with respect to the Brownian motion.
Khaled Bahlali +2 more
wiley +1 more source

