Occupied Processes: Going with the Flow

Fuente: arXiv
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Autor principal: Tissot-Daguette, Valentin
Formato: Preprint
Publicado: 2023
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author Tissot-Daguette, Valentin
author_facet Tissot-Daguette, Valentin
contents A stochastic process $X$ becomes occupied when it is enlarged with its occupation flow $\mathcal{O}$ that tracks the time spent by the path at each level. When $X$ is Markov, the occupied process $(\mathcal{O},X)$ enjoys a Markov structure as well. We develop an Itô calculus for occupied processes that lies midway between Dupire's functional Itô calculus and the classical version. We derive Itô formulae and, through Feynman-Kac, unveil a broad class of path-dependent PDEs where $\mathcal{O}$ plays the role of time. The space variable, given by the current value of $X$, remains finite-dimensional, thereby paving the way for standard elliptic PDE techniques and numerical methods. The framework's benefits are illustrated via an optimal stopping problem involving local times, followed by financial applications. For the latter, we show how occupation flows provide unified Markovian lifts for exotic options and variance instruments, allowing financial institutions to price derivatives books with a single numerical solver. We finally explore an extension of forward variance models so as to leverage the entire forward occupation surface.
format Preprint
id arxiv_https___arxiv_org_abs_2311_07936
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Occupied Processes: Going with the Flow
Tissot-Daguette, Valentin
Probability
Mathematical Finance
Pricing of Securities
60J55, 60J25, 60H30, 60G40, 91G20
A stochastic process $X$ becomes occupied when it is enlarged with its occupation flow $\mathcal{O}$ that tracks the time spent by the path at each level. When $X$ is Markov, the occupied process $(\mathcal{O},X)$ enjoys a Markov structure as well. We develop an Itô calculus for occupied processes that lies midway between Dupire's functional Itô calculus and the classical version. We derive Itô formulae and, through Feynman-Kac, unveil a broad class of path-dependent PDEs where $\mathcal{O}$ plays the role of time. The space variable, given by the current value of $X$, remains finite-dimensional, thereby paving the way for standard elliptic PDE techniques and numerical methods. The framework's benefits are illustrated via an optimal stopping problem involving local times, followed by financial applications. For the latter, we show how occupation flows provide unified Markovian lifts for exotic options and variance instruments, allowing financial institutions to price derivatives books with a single numerical solver. We finally explore an extension of forward variance models so as to leverage the entire forward occupation surface.
title Occupied Processes: Going with the Flow
topic Probability
Mathematical Finance
Pricing of Securities
60J55, 60J25, 60H30, 60G40, 91G20
url https://arxiv.org/abs/2311.07936