On the analysis of Ait-Sahalia-type model for rough volatility modelling

Emmanuel Coffie*, Xuerong Mao, Frank Proske

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
29 Downloads (Pure)

Abstract

Fractional Brownian motion with the Hurst parameter H < 1 2 is used widely, for instance, to describe a ’rough’ stochastic volatility process in finance. In this paper, we examine a generalised Ait-Sahaliatype model driven by a fractional Brownian motion with H < 1 2 and establish theoretical properties such as an existence-and-uniqueness theorem, regularity in the sense of Malliavin differentiability and higher moments of the strong solutions.
Original languageEnglish
Pages (from-to)744-767
Number of pages24
JournalJournal of Theoretical Probability
Volume37
Issue number1
Early online date13 Jun 2023
DOIs
Publication statusPublished - Mar 2024

Keywords

  • rough volatility
  • Malliavian calculus
  • fractional Brownian motion
  • strong solution
  • higher moments

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