On the Functional L\'{e}vy-It\^{o} Stochastic Calculus
Christian Houdr\'e, Jorge V\'iquez

TL;DR
This paper extends the functional Itô's calculus by defining derivatives along functionals and develops an optimal local-time based Itô's formula for Lévy processes, with some applications.
Contribution
It introduces a new notion of derivative along functionals and derives an optimal local-time based Itô's formula for Lévy processes.
Findings
Extended functional Itô's formula with derivative along functionals
Derived an optimal local-time based Itô's formula for Lévy processes
Provided applications demonstrating the new calculus
Abstract
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 the (semimartingale) functional It\^{o}'s formula and corresponding calculus. Second, for L\'{e}vy processes, an optimal local-time based It\^{o}'s formula is obtained. Some quick applications are then given.
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Taxonomy
TopicsStochastic processes and financial applications · Insurance, Mortality, Demography, Risk Management · Probability and Risk Models
