It\^o Stochastic differentials
Probability
2022-06-30 v5
Abstract
We give an infinitesimal meaning to the symbol for a continuous semimartingale at an instant in time . We define a vector space structure on the space of differentials at time and deduce key properties consistent with the classical It\^o integration theory. In particular, we link our notion of a differential with It\^o integration via a stochastic version of the Fundamental Theorem of Calculus. Our differentials obey a version of the chain rule, which is a local version of It\^o's lemma. We apply our results to financial mathematics to give a theory of portfolios at an instant in time.
Cite
@article{arxiv.2004.03419,
title = {It\^o Stochastic differentials},
author = {John Armstrong and Andrei Ionescu},
journal= {arXiv preprint arXiv:2004.03419},
year = {2022}
}