Abstract

We study the local regularity and multifractal nature of the sample paths of jump diffusion processes, which are solutions to a class of stochastic differential equations with jumps. This article extends the recent work of Barral {\it et al.} who constructed a pure jump monotone Markov process with random multifractal spectrum. The class of processes studied here is much larger and exhibits novel features on the extreme values of the spectrum. This class includes Bass' stable-like processes and non-degenerate stable-driven SDEs.

Highlights

  • Introduction and main resultsThis article concerns the pointwise regularity of the sample paths of Markov processes

  • We investigate here the multifractal structure of a quite general class of one-dimensional Markov processes defined by stochastic differential equations with jumps, called jump diffusions: t t

  • This work is in the line of a large and recent literature investigating the multifractal nature of “Lévy-like” processes [5,10,11,20,21,31], and in particular, aims to generalize the recent work [31] of Jaffard on Lévy processes to a larger class of Markov processes

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Summary

Introduction and main results

This article concerns the pointwise regularity of the sample paths of Markov processes. As an attempt beyond the scope of Lévy processes, Barral–Fournier–Jaffard–Seuret [10] constructed a specific example of pure jump increasing Markov process with a random multifractal spectrum. The specific structure of this process (and in particular the monotonicity of sample paths) simplifies greatly the study of its regularity, and as a consequence, the present work requires more technicality and additional tools. A slicing argument is developed to give some technical increments estimates This new argument does not rely on the monotonicity of the sample paths, is applicable to more general SDEs, see Section 3. There is a novel discussion on the extreme value of the spectrum, the latter presenting a behavior more complex than the one observed in [10], see Section 6

Recalls on multifractal analysis
Assumptions in this work
Main results
Extensions
Plan of the paper
Basic properties of M
Technical estimates
Hölder exponent
Preparations
Computation of the pointwise multifractal spectrum
Proof of Theorem 1
Proof of Theorem 2
Proof of Theorems 5 and 6
Variable order stable-like processes
SDE driven by stable Lévy processes
Full Text
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