Processes of class Sigma, last passage times and drawdowns
Patrick Cheridito, Ashkan Nikeghbali, Eckhard Platen

TL;DR
This paper develops a comprehensive framework for analyzing last passage times, drawdowns, and related functionals of stochastic processes using processes of class Sigma, with applications to option pricing and hedging strategies.
Contribution
It introduces new representation formulas and invariance properties for processes of class Sigma, enabling the analysis of last passage times and drawdowns in a unified way.
Findings
Derived formulas for last passage times and drawdowns.
Provided stochastic integral representations of process functionals.
Applied results to option pricing and hedging strategies.
Abstract
We propose a general framework to study last passage times, suprema and drawdowns of a large class of stochastic processes. A central role in our approach is played by processes of class Sigma. After investigating convergence properties and a family of transformations that leave processes of class Sigma invariant, we provide three general representation results. The first one allows to recover a process of class Sigma from its final value and the last time it visited the origin. In many situations this gives access to the distribution of the last time a stochastic process hit a certain level or was equal to its running maximum. It also leads to a formula recently discovered by Madan, Roynette and Yor expressing put option prices in terms of last passage times. Our second representation result is a stochastic integral representation of certain functionals of processes of class Sigma, and…
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Taxonomy
TopicsAdvanced Statistical Process Monitoring · Probability and Risk Models · Advanced Queuing Theory Analysis
