Decomposition of order statistics of semimartingales using local times
Raouf Ghomrasni, Olivier Menoukeu Pamen

TL;DR
This paper extends the decomposition of order statistics for semimartingales to include discontinuous cases and generalizes existing formulas for local times of ranked processes, simplifying previous approaches.
Contribution
It introduces a more general semimartingale decomposition for non-continuous processes and generalizes key local time formulas, using a simpler method.
Findings
Derived a general decomposition for semimartingales with jumps.
Generalized formulas for local times of ranked processes.
Simplified the approach to semimartingale decomposition.
Abstract
In a recent work \cite{BG}, given a collection of continuous semimartingales, authors derive a semimartingale decomposition from the corresponding ranked processes in the case that the ranked processes can meet more than two original processes at the same time. This has led to a more general decomposition of ranked processes. In this paper, we derive a more general result for semimartingales (not necessarily continuous) using a simpler approach. Furthermore, we also give a generalization of Ouknine \cite{O1, O2} and Yan's \cite{Y1} formula for local times of ranked processes
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Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Probability and Risk Models
