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Stochastic Integration via Regularization

  • Nancy Université

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

This chapter constitutes the hearth of the book: we introduce our procedure based on regularization to define forward, backward, and symmetric integrals for continuous processes as well as covariation and quadratic variation via the convergence in probability. We prove the link between stochastic integrals via regularization and those defined in the Lebesgue–Stieltjes, in the Young and fractional sense, and we provide the basic rules of calculus via regularizations.

Original languageEnglish
Title of host publicationBocconi and Springer Series
PublisherSpringer-Verlag Italia s.r.l.
Pages113-164
Number of pages52
DOIs
Publication statusPublished - 1 Jan 2022

Publication series

NameBocconi and Springer Series
Volume11
ISSN (Print)2039-1471
ISSN (Electronic)2039-148X

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