On pathwise quadratic variation for cadlag functions
Henry Chiu, Rama Cont

TL;DR
This paper refines the concept of pathwise quadratic variation for cadlag functions by linking it to Skorokhod topology, leading to a more robust and simplified definition that naturally includes Lebesgue decomposition.
Contribution
It introduces a reformulation of quadratic variation as a Skorokhod topology limit, simplifying the concept and ensuring it encompasses Lebesgue decomposition inherently.
Findings
Quadratic variation can be defined as a Skorokhod topology limit.
The new definition simplifies previous approaches.
Lebesgue decomposition follows naturally from the new formulation.
Abstract
We revisit H. Foellmer's concept of quadratic variation of a cadlag function along a sequence of time partitions and discuss its relation with the Skorokhod topology. We show that in order to obtain a robust notion of pathwise quadratic variation applicable to sample paths of cadlag processes, one must reformulate the definition of pathwise quadratic variation as a limit in Skorokhod topology of discrete approximations along the partition. One then obtains a simpler definition of quadratic variation which implies the Lebesgue decomposition as a result, rather than requiring it as an extra condition.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
