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Ordinary least squares estimators of variogram parameters in long-memory stochasticvolatility are studied in this paper. We use the discrete observations for practicalpurposes under the assumption that the Hurst parameter H∈(1/2,1) is known. Based on the ordinary least squares method, we obtain both the explicit estimatorsfor drift and diffusion by minimizing the distance function between the variogramand the data periodogram. Furthermore, the resulting estimators are shown to beconsistent and to have the asymptotic normality. Numerical examples are alsopresented to illustrate the performance of our method

Parameter Estimation for Long-Memory Stochastic Volatility at Discrete Observation