On the analysis of Ait-Sahalia-type model for rough volatility modelling
Coffie, Emmanuel and Mao, Xuerong and Proske, Frank (2024) On the analysis of Ait-Sahalia-type model for rough volatility modelling. Journal of Theoretical Probability, 37 (1). pp. 744-767. ISSN 0894-9840 (https://doi.org/10.1007/s10959-023-01269-2)
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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.
ORCID iDs
Coffie, Emmanuel, Mao, Xuerong ORCID: https://orcid.org/0000-0002-6768-9864 and Proske, Frank;-
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Item type: Article ID code: 85666 Dates: DateEventMarch 2024Published13 June 2023Published Online28 May 2023Accepted29 September 2022SubmittedSubjects: Science > Mathematics > Probabilities. Mathematical statistics Department: Faculty of Science > Mathematics and Statistics Depositing user: Pure Administrator Date deposited: 01 Jun 2023 14:23 Last modified: 11 Nov 2024 13:57 URI: https://strathprints.strath.ac.uk/id/eprint/85666
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