Statistical inference for rough volatility: Central limit theorems
Carsten Chong,
Marc Hoffmann,
Yanghui Liu,
Mathieu Rosenbaum and
Gr\'egoire Szymanski
Papers from arXiv.org
Abstract:
In recent years, there has been a substantive interest in rough volatility models. In this class of models, the local behavior of stochastic volatility is much more irregular than semimartingales and resembles that of a fractional Brownian motion with Hurst parameter $H
Date: 2022-10, Revised 2024-06
New Economics Papers: this item is included in nep-ecm and nep-ets
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Published in The Annals of Applied Probability, Vol. 34, No. 3, 2600-2649, 2024
Downloads: (external link)
http://arxiv.org/pdf/2210.01216 Latest version (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2210.01216
Access Statistics for this paper
More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().