Spline estimate of nonparametric regression function under martingale difference errors

Nonparametric regression models with fixed design points and martingale difference errors are considered in this paper. Under mild conditions, optimal global rate of convergence of regression function estimator based on polynomial spline is obtained. Simulation results show that spline method outperforms kernel method at some cases. The regression function is fitted for the CNY/EUR foreign exchange rate series.