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 (J. Theor. Probab. 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
(Communicated by the associate editor name) Abstract. We consider the short time behaviour of stocha...
We prove a large deviations principle for the class of multidimensional affine stochastic volatility...
In this paper we investigate a problem of large deviations for continuous Volterra processes under t...
We study multidimensional stochastic volatility models in which the volatility process is a positive...
We study stochastic volatility models in which the volatility process is a positive continuous funct...
We establish a comprehensive sample path large deviation principle (LDP) for log-processes associate...
We provide a short-time large deviation principle (LDP) for stochastic volatility models, where the ...
We provide a unified treatment of pathwise Large and Moderate deviations principles for a general cl...
Abstract. We consider the short time behaviour of stochastic systems af-fected by a stochastic volat...
This paper is devoted to prove a large-deviation principle for solutions to multidimensional stochas...
We consider the short time behavior of stochastic systems affected by a stochastic volatility evolvi...
We consider the short time behaviour of stochastic systems affected by a stochastic volatility evolv...
Abstract: The present work generalizes the results obtained in [3] to a d > 1dimensional setting....
This thesis examines various non-Markovian and fractional processes---rough volatility models, stoch...
textabstractThe paper considers various extended asymmetric multivariate conditional volatility mode...
(Communicated by the associate editor name) Abstract. We consider the short time behaviour of stocha...
We prove a large deviations principle for the class of multidimensional affine stochastic volatility...
In this paper we investigate a problem of large deviations for continuous Volterra processes under t...
We study multidimensional stochastic volatility models in which the volatility process is a positive...
We study stochastic volatility models in which the volatility process is a positive continuous funct...
We establish a comprehensive sample path large deviation principle (LDP) for log-processes associate...
We provide a short-time large deviation principle (LDP) for stochastic volatility models, where the ...
We provide a unified treatment of pathwise Large and Moderate deviations principles for a general cl...
Abstract. We consider the short time behaviour of stochastic systems af-fected by a stochastic volat...
This paper is devoted to prove a large-deviation principle for solutions to multidimensional stochas...
We consider the short time behavior of stochastic systems affected by a stochastic volatility evolvi...
We consider the short time behaviour of stochastic systems affected by a stochastic volatility evolv...
Abstract: The present work generalizes the results obtained in [3] to a d > 1dimensional setting....
This thesis examines various non-Markovian and fractional processes---rough volatility models, stoch...
textabstractThe paper considers various extended asymmetric multivariate conditional volatility mode...
(Communicated by the associate editor name) Abstract. We consider the short time behaviour of stocha...
We prove a large deviations principle for the class of multidimensional affine stochastic volatility...
In this paper we investigate a problem of large deviations for continuous Volterra processes under t...