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Related papers: On Change of Variable Formulas for non-anticipativ…

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We derive a functional change of variable formula for {\it non-anticipative} functionals defined on the space of right continuous paths with left limits. The functional is only required to possess certain directional derivatives, which may…

Probability · Mathematics 2010-04-09 Rama Cont , David-Antoine Fournie

We develop a nonanticipative calculus for functionals of a continuous semimartingale, using an extension of the Ito formula to path-dependent functionals which possess certain directional derivatives. The construction is based on a pathwise…

Probability · Mathematics 2013-02-05 Rama Cont , David-Antoine Fournié

We derive a functional It\^o-formula for non-anticipative maps of rough paths, based on the approximation properties of the signature of c\`adl\`ag rough paths. This result is a functional extension of the It\^o-formula for c\`adl\`ag rough…

Probability · Mathematics 2025-04-09 Christa Cuchiero , Xin Guo , Francesca Primavera

Based on an extension of the martingale comparison method some comparison results for path-dependent functions of semimartingales are established. The proof makes essential use of the functional It\^o calculus. A main tool is an extension…

Probability · Mathematics 2019-08-28 Benedikt Köpfer , Ludger Rüschendorf

A peculiar feature of It\^o's calculus is that it is an integral calculus that gives no explicit derivative with a systematic differentiation theory counterpart, as in elementary calculus. So, can we define a pathwise stochastic derivative…

Probability · Mathematics 2010-05-25 Hassan Allouba

We construct a pathwise calculus for functionals of integer-valued measures and use it to derive an martingale representation formula with respect to a large class of integer-valued random measures. Using these results, we extend the…

Probability · Mathematics 2020-02-28 Pierre M. Blacque-Florentin , Rama Cont

Several versions of It\^{o}'s formula have been obtained in the context of the functional stochastic calculus. Here, we revisit this topic in two ways. First, by defining a notion of derivative along a functional, we extend the setting of…

Probability · Mathematics 2022-02-25 Christian Houdré , Jorge Víquez

In this work, we establish pathwise functional It\^o formulas for non-smooth functionals of real-valued continuous semimartingales. Under finite $(p,q)$-variation regularity assumptions in the sense of two-dimensional Young integration…

Probability · Mathematics 2015-05-19 Alberto Ohashi , Evelina Shamarova , Nikolai N. Shamarov

Motivated by questions arising in financial mathematics, Dupire introduced a notion of smoothness for functionals of paths (different from the usual Fr\'echet--Gat\'eaux derivatives) and arrived at a generalization of It\=o's formula…

Probability · Mathematics 2012-12-07 Harald Oberhauser

This paper considers the problem of constructing finite-dimensional state space realizations for stochastic processes that can be represented as the outputs of a certain type of a causal system driven by a continuous semimartingale input…

Optimization and Control · Mathematics 2024-02-16 Tanya Veeravalli , Maxim Raginsky

We derive It\^o-type change of variable formulas for smooth functionals of irregular paths with non-zero $p-$th variation along a sequence of partitions where $p \geq 1$ is arbitrary, in terms of fractional derivative operators, extending…

Classical Analysis and ODEs · Mathematics 2021-11-30 Rama Cont , Ruhong Jin

We develop a calculus of variations for functionals which are defined on a set of non differentiable curves. We first extend the classical differential calculus in a quantum calculus, which allows us to define a complex operator, called the…

General Mathematics · Mathematics 2015-06-26 Jacky Cresson

We establish It\^o's formula along flows of probability measures associated with general semimartingales; this generalizes existing results for flows of measures on It\^o processes. Our approach is to first establish It\^o's formula for…

Probability · Mathematics 2022-09-20 Xin Guo , Huyên Pham , Xiaoli Wei

Extending It\^o's formula to non-smooth functions is important both in theory and applications. One of the fairly general extensions of the formula, known as Meyer-It\^o, applies to one dimensional semimartingales and convex functions.…

Mathematical Finance · Quantitative Finance 2015-07-02 Ramin Okhrati , Uwe Schmock

The martingale comparison method is extended to derive comparison results for path-independent functions for general semimartingales. Our approach allows to dismiss with the Markovian assumption on one of the processes made in previous…

Probability · Mathematics 2019-08-28 Benedikt Köpfer , Ludger Rüschendorf

We consider the solution $u(x,t)$ to a stochastic heat equation. For fixed $x$, the process $F(t)=u(x,t)$ has a nontrivial quartic variation. It follows that $F$ is not a semimartingale, so a stochastic integral with respect to $F$ cannot…

Probability · Mathematics 2010-11-08 Krzysztof Burdzy , Jason Swanson

In this paper we study a family of nonlinear (conditional) expectations that can be understood as a continuous semimartingale with uncertain local characteristics. Here, the differential characteristics are prescribed by a set-valued…

Probability · Mathematics 2023-08-04 David Criens , Lars Niemann

Generalised Ito formulae are proved for time dependent functions of continuous real valued semi-martingales. The conditions involve left space and time first derivatives, with the left space derivative required to have locally bounded…

Probability · Mathematics 2015-08-11 K. D. Elworthy , A. Truman , H. Z. Zhao

This chapter is divided into two parts. The first is largely expository and builds on Karandikar's axiomatisation of It{\^o} calculus for matrix-valued semimartin-gales. Its aim is to unfold in detail the algebraic structures implied for…

Probability · Mathematics 2020-04-16 Kurusch Ebrahimi-Fard , Frédéric Patras

It is shown that under a certain condition on a semimartingale and a time-change, any stochastic integral driven by the time-changed semimartingale is a time-changed stochastic integral driven by the original semimartingale. As a direct…

Probability · Mathematics 2010-10-26 Kei Kobayashi
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