In this paper, we study the problem of the nonparametric estimation of the function m in a stochastic volatility model h_t = exp(X_t/2 Lambda )ξ_t, X_t = m(X_t - 1) + η_t, where ξ_t is a Gaussian white noise. We show that the model can be written as an autoregression with errors-in-variables....