Thin-thick approach to martingale representations on progressively enlarged filtrations
Antonella Calzolari (Department of Mathematics - University of Rome, "Tor Vergata'', Rome, Italy), Barbara Torti (Department of Mathematics -, University of Rome "Tor Vergata'', Rome, Italy)

TL;DR
This paper develops a new martingale representation theorem for progressively enlarged filtrations by decomposing a random time into parts that either overlap or avoid the original filtration's stopping times, extending previous results.
Contribution
It introduces a thin-thick decomposition of random times and proves a martingale representation theorem in the enlarged filtration, broadening the scope of prior work.
Findings
Established a martingale representation theorem for the thin part of the random time.
Extended results to include random times that do not avoid the original filtration.
Provided applications to the natural filtration of Lévy processes.
Abstract
We study the predictable representation property in the progressive enlargement F^\tau of a reference filtration F by a random time \tau. Our approach is based on the decomposition of any random time into two parts, one overlapping F-stopping times (thin part) and the other one that avoids F-stopping times (thick part). We assume that the F-thin part of \tau is nontrivial and prove a martingale representation theorem on F^\tau. We thus extend previous results dealing with F-avoiding random times. We collect some examples of application to the enlargement of the natural filtration of a L\'evy process.
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Taxonomy
TopicsFlow Measurement and Analysis · Image and Signal Denoising Methods
