Asymptotics for multifactor Volterra type stochastic volatility models
Abstract
We study multidimensional stochastic volatility models in which the volatility process is a positive continuous function of a continuous multidimensional Volterra process that can be not self-similar. The main results obtained in this paper are a generalization of the results due, in the one-dimensional case, to Cellupica and Pacchiarotti [M. Cellupica and B. Pacchiarotti (2021) Pathwise Asymptotics for Volterra Type Stochastic Volatility Models. Journal of Theoretical Probability, 34(2):682--727]. We state some (pathwise and finite-dimensional) large deviation principles for the scaled log-price and as a consequence some (pathwise and finite-dimensional) short-time large deviation principles.
Cite
@article{arxiv.2109.09448,
title = {Asymptotics for multifactor Volterra type stochastic volatility models},
author = {Giulia Catalini and Barbara Pacchiarotti},
journal= {arXiv preprint arXiv:2109.09448},
year = {2022}
}
Comments
arXiv admin note: text overlap with arXiv:1902.05896