We observe (Yt) at times i/n, i=0,...,n, in the parametric stochastic volatility modeldYt=[Phi]([theta],WtH) dWt,where (Wt) is a Brownian motion, independent of the fractional Brownian motion (WtH) with Hurst parameter . The sample size n increases not because of a longer observation period, but...

In the context of statistics for random processes, we prove a law of large numbers and a functional central limit theorem for multivariate Hawkes processes observed over a time interval [0,T] when T→∞. We further exhibit the asymptotic behaviour of the covariation of the increments of the...