  We consider nonparametric estimation of mean regression and conditional
variance (or volatility) functions in nonlinear stochastic regression models.
Simultaneous confidence bands are constructed and the coverage probabilities
are shown to be asymptotically correct. The imposed dependence structure allows
applications in many linear and nonlinear auto-regressive processes. The
results are applied to the S&P 500 Index data.
