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The present paper is devoted to the second part of our project on asymmetric maximal inequalities, where we consider martingales in continuous time. Let $(\mathcal M,\tau)$ be a noncommutative probability space equipped with a continuous…

Probability · Mathematics 2016-11-07 Guixiang Hong , Marius Junge , Javier Parcet

In this paper we study progressive filtration expansions with cadlag processes. Using results from the weak convergence of sigma fields theory, we first establish a semimartingale convergence theorem. Then we apply it in a filtration…

Probability · Mathematics 2011-05-10 Younes Kchia , Philip Protter

The purpose of the present work is twofold. First, we develop the theory of general self-similar growth-fragmentation processes by focusing on martingales which appear naturally in this setting and by recasting classical results for…

Probability · Mathematics 2017-12-13 Jean Bertoin , Timothy Budd , Nicolas Curien , Igor Kortchemski

In this paper, we obtain stability results for martingale representations in a very general framework. More specifically, we consider a sequence of martingales each adapted to its own filtration, and a sequence of random variables…

Probability · Mathematics 2022-06-06 Antonis Papapantoleon , Dylan Possamai , Alexandros Saplaouras

The constructive martingale representation theorem of functional It\^o calculus is extended, from the space of square integrable martingales, to the space of local martingales. The setting is that of an augmented filtration generated by a…

Probability · Mathematics 2018-12-11 Kristoffer Lindensjö

We present a representation theorem for a filtering model with first-passage-type stopping time. The model is constructed from two unobservable processes and one observable process that is under the influence of two unobservable processes.A…

Probability · Mathematics 2015-09-09 Takenobu Nakashima

A general diffusion semimartingale is a one-dimensional path-continuous semimartingale that is also a regular strong Markov process. We say that a continuous semimartingale has the representation property if all local martingales w.r.t. its…

Probability · Mathematics 2024-09-30 David Criens , Mikhail Urusov

Assume that $X$ is a continuous square integrable process with zero mean, defined on some probability space $(\Omega,\mathrm {F},\mathrm {P})$. The classical characterization due to P. L\'{e}vy says that $X$ is a Brownian motion if and only…

Probability · Mathematics 2011-03-15 Yuliya Mishura , Esko Valkeila

In this article, we introduce Mittag-Leffler L\'evy process and provide two alternative representations of this process. First, in terms of Laplace transform of the marginal densities and next as a subordinated stochastic process. Both…

Probability · Mathematics 2016-02-05 Arun Kumar , N. S. Upadhye

In this paper we give the decomposition of a martingale under the sublinear expectation associated with a $G$-L'evy process X with finite activity and without drift. We prove that such a martingale consists of an Ito integral w.r.t.…

Probability · Mathematics 2014-04-09 Krzysztof Paczka

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…

Probability · Mathematics 2015-09-30 Paolo Di Tella , Hans-Jürgen Engelbert

Sets of orthogonal martingales are importants because they can be used as stochastic integrators in a kind of chaotic representation property, see [20]. In this paper, we revisited the problem studied by W. Schoutens in [21], investigating…

Probability · Mathematics 2013-11-19 Edmundo J. Huertas , Nuria Torrado , Fabrizio Leisen

The integral representation theorem for martingales has been widely used in probability theory. In this work, we propose and prove a general representation theorem for a class of set-valued submartingales. We also extend the stochastic…

Probability · Mathematics 2024-01-08 Luc Tri Tuyen , Vu Thai Luan

In this paper we study processes which are constructed by a convolution of a deterministic kernel with a martingale. A special emphasis is put on the case where the driving martingale is a centred L\'evy process, which covers the popular…

Probability · Mathematics 2021-05-31 Christian Bender , Robert Knobloch , Philip Oberacker

In this paper we analyze a L\'evy process reflected at a general (possibly random) barrier. For this process we prove Central Limit Theorem for the first passage time. We also give the finite-time first passage probability asymptotics.

Probability · Mathematics 2017-05-08 Zbigniew Palmowski , Przemysław Świątek

A strict local martingale is a local martingale that is not a martingale. We investigate how such a process might arise from a true martingale as a result of an enlargement of the filtration. We study and implement a particular type of…

Probability · Mathematics 2016-08-24 Aditi Dandapani , Philip Protter

Assume a L\'evy process $X$ on the time interval $[0,1]$ that is an $L_2$-martingale and let $Y$ be either its stochastic exponential or $X$ itself. We consider Riemann-approximations of certain stochastic integrals driven by $Y$ and relate…

Probability · Mathematics 2012-01-04 Christel Geiss , Stefan Geiss , Eija Laukkarinen

In this paper we investigate the propagation of the weak representation property (WRP) to an independently enlarged filtration. More precisely, we consider an $\mathbb{F}$-semimartingale $X$ possessing the WRP with respect to $\mathbb{F}$…

Probability · Mathematics 2020-03-27 Paolo Di Tella

In this paper, we obtain explicit product and moment formulas for products of iterated integrals generated by families of square integrable martingales associated with an arbitrary L\'evy process. We propose a new approach applying the…

Probability · Mathematics 2018-09-04 Paolo Di Tella , Christel Geiss

Stricker's theorem states that a Gaussian process is a semimartingale in its natural filtration if and only if it is the sum of an independent increment Gaussian process and a Gaussian process of finite variation, see [1983, Z. Wahrsch.…

Probability · Mathematics 2014-12-15 Andreas Basse-O'Connor , Jan Rosiński