A two-step estimation method of stochastic volatility models is proposed. In the first step, we nonparametrically … estimate the (unobserved) instantaneous volatility process. In the second step, standard estimation methods for fully observed … estimation strategy is applicable to both parametric and nonparametric stochastic volatility models, and can handle both jumps …

The paper is concerned with the estimation of the long memory parameter in a conditionally heteroskedastic model … models ; semiparametric estimation ; modified R/S ; KPSS and V/S statistics ; periodogram …

We propose an estimation strategy that accounts for two major problems raised in the empirical literature testing for … problems. Second, we apply nonlinear-nonstationary parametric and non-parametric estimation techniques to estimate the pairwise …

quantities based on long span data. Our estimation method makes use of the local stationarity. We establish asymptotic theory for …

A two-step estimation method of stochastic volatility models is proposed: In the first step, we estimate the …, standard estimation methods for fully observed diffusion processes are employed, but with the filtered volatility process … replacing the latent process. Our estimation strategy is applicable to both parametric and nonparametric stochastic volatility …