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PreprintCC BY 4.0arXiv

A fixed-time stable limit theorem for non-normalized functionals on irregular time grids

Abstract

Let an Itô semimartingale be observed at times satisfying τi+1n−τin=(nθτin)−1, where θ is adapted and càdlàg, and θ and its reciprocal are bounded on compact intervals. Under the usual hypothesis (H) on the semimartingale, we prove fixed-time stable convergence for test functions whose Hessian is o(normx) at zero. The limit is a sum of jump contributions with sampling scale θT−−1 and separate pre-jump and post-jump volatilities. The proof establishes joint stable convergence of the local Poisson positions and Brownian increments on the endogenous grid, and controls infinitely many small jumps by a uniform Itô estimate. Three examples identify the left-limit sampling scale and show why positivity and càdlàg regularity alone cannot replace local control of the reciprocal sampling intensity.

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BibTeX
@misc{guo2026fixedtime,
  title = {{A fixed-time stable limit theorem for non-normalized functionals on irregular time grids}},
  author = {Yi Guo},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.09570},
  eprint = {2610.09570},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.09570},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - A fixed-time stable limit theorem for non-normalized functionals on irregular time grids
AU  - Yi Guo
PY  - 2026
DA  - 2026/10/07
PB  - arXiv
DO  - 10.48550/arxiv.2610.09570
UR  - https://arxiv.org/abs/2610.09570
AB  - Let an Itô semimartingale be observed at times satisfying τ_i+1^n−τ_i^n=(nθ_τ_i^n)^−1, where θ is adapted and càdlàg, and θ and its reciprocal are bounded on compact intervals. Under the usual hypothesis (H) on the semimartingale, we prove fixed-time stable convergence for test functions whose Hessian is o(normx) at zero. The limit is a sum of jump contributions with sampling scale θ_T−^−1 and separate pre-jump and post-jump volatilities. The proof establishes joint stable convergence of the local Poisson positions and Brownian increments on the endogenous grid, and controls infinitely many small jumps by a uniform Itô estimate. Three examples identify the left-limit sampling scale and show why positivity and càdlàg regularity alone cannot replace local control of the reciprocal sampling intensity.
ER  -