Chaotic and Predictable Representations for Multidimensional Lévy Processes

具有莱维调制器的马尔可夫加性过程的混沌和可预测表示

Chaotic and Predictable Representations for Markov Additive Processes with Levy Modulator

本文研究了具有莱维调制器的马尔可夫加性过程的混沌和可预测表示，通过正交化Teugels鞅来推导平方可积随机变量和鞅的表示方法。

A note on chaotic and predictable representations for Itô-Markov additive processes

IIn this paper we provide predictable and chaotic representations for Itô-Markov additive processes $X$. Such a process is governed by a finite-state CTMC $J$ which allows one to modify the parameters of the Itô-jump process (in so-called regime switching manner). In addition, the transition of $J$ triggers the jump of $X$ distributed depending on the states of $J$ just prior to the transition. This family of processes includes Markov modulated Itô-Lévy processes and Markov additive processes. The derived chaotic representation of a square-integrable random variable is given as a sum of stocha…

Martingale representation in progressive enlargement by the reference filtration of a semimartingale: a note on the multidimensional case

Let X and Y be an m-dimensional F-semimartingale and an n-dimensional H-semimartingale respectively on the same probability space, both enjoying the strong predictable representation property. We propose a martingale representation result under the probability measure P for the square integrable G-martingales, where G is the union of F and H. As a first application we identify the biggest possible value of the multiplicity in the sense of Davis and Varaiya of the union of F1,..., Fd, where, fixed i in (1,...,d), Fi is the reference filtration of a real martingale Mi, which enjoys the Fi-predic…

A chaotic representation property of the multidimensional Dunkl processes

Dunkl processes are martingales as well as càdlàg homogeneous Markov processes taking values in $\mathbb{R}^d$ and they are naturally associated with a root system. In this paper we study the jumps of these processes, we describe precisely their martingale decompositions into continuous and purely discontinuous parts and we obtain a Wiener chaos decomposition of the corresponding $L^2$ spaces of these processes in terms of adequate mixed multiple stochastic integrals.

The Chaotic Representation Property of Compensated-Covariation Stable Families of Martingales

In the present paper, we study the chaotic representation property for certain families of square integrable martingales. For this purpose, we introduce the notion of compensated-covariation stability of such families. The chaotic representation property will be defined using iterated integrals with respect to a given family of square integrable martingales having deterministic mutual predictable covariation. The main result of the present paper is: If $\mathscr{X}$ is a compensated-covariation stable family of square integrable martingales such that $\langle{X},{Y}\rangle$ is deterministic fo…

Stochastic analysis of Bernoulli processes

These notes survey some aspects of discrete-time chaotic calculus and its applications, based on the chaos representation property for i.i.d. sequences of random variables. The topics covered include the Clark formula and predictable representation, anticipating calculus, covariance identities and functional inequalities (such as deviation and logarithmic Sobolev inequalities), and an application to option hedging in discrete time.