Brownian motion is one of the most used stochastic models in applications to financial mathematics, communications, engineeering, physics and other areas. Many of the central results in the theory are obtained directly from its definition as a continuous process. As a mathematical object, Brownian motion also have some special and important properties that make it fundamental to understand related mathematical fields and state-of-the-art concepts. The purpose of this work is to review a relatively recent approach which allows to reobtain these results via a random walks approximation. The applications of this particular approach include the local time of Brownian motion and the Black-Scholes model in financial mathematics
In this paper we will investigate the connection between a random walk and a continuous time stochas...
Continuous time random walks (CTRWs) are used in physics to model anomalous diffusion, by incorporat...
International audienceWe study the convergence rates of strong approximations of stochastic processe...
Brownian motion is one of the most used stochastic models in applications to financial mathematics, ...
Brownian Motion is one of the most useful tools in the arsenal of stochastic models. This phenomenon...
Brownian Motion which is also considered to be a Wiener process and can be thought of as a random wa...
Abstract. Wilfrid Kendall notes on the complexity of the paths of Brownian motion: If you run Browni...
Wilfrid Kendall notes on the complexity of the paths of Brownian motion: If you run Brownian motion ...
While the distribution of the absorption time of a Brownian motion starting in a fixed point between...
This book offers a rigorous and self-contained presentation of stochastic integration and stochastic...
This thesis addresses questions related to approximation arising from the fields of stochastic analys...
Motivated by some typical option pricing problems, we study how to estimate quantities of the form b...
In the modeling of financial market, especially stock market, Brownian Motion play a significant rol...
We approximate stochastic integrals with respect to the geometric Brownian motion by stochastic inte...
In this paper we consider the random walk approximation of the solution of a Markovian BSDE whose te...
In this paper we will investigate the connection between a random walk and a continuous time stochas...
Continuous time random walks (CTRWs) are used in physics to model anomalous diffusion, by incorporat...
International audienceWe study the convergence rates of strong approximations of stochastic processe...
Brownian motion is one of the most used stochastic models in applications to financial mathematics, ...
Brownian Motion is one of the most useful tools in the arsenal of stochastic models. This phenomenon...
Brownian Motion which is also considered to be a Wiener process and can be thought of as a random wa...
Abstract. Wilfrid Kendall notes on the complexity of the paths of Brownian motion: If you run Browni...
Wilfrid Kendall notes on the complexity of the paths of Brownian motion: If you run Brownian motion ...
While the distribution of the absorption time of a Brownian motion starting in a fixed point between...
This book offers a rigorous and self-contained presentation of stochastic integration and stochastic...
This thesis addresses questions related to approximation arising from the fields of stochastic analys...
Motivated by some typical option pricing problems, we study how to estimate quantities of the form b...
In the modeling of financial market, especially stock market, Brownian Motion play a significant rol...
We approximate stochastic integrals with respect to the geometric Brownian motion by stochastic inte...
In this paper we consider the random walk approximation of the solution of a Markovian BSDE whose te...
In this paper we will investigate the connection between a random walk and a continuous time stochas...
Continuous time random walks (CTRWs) are used in physics to model anomalous diffusion, by incorporat...
International audienceWe study the convergence rates of strong approximations of stochastic processe...