Fuchun Li - Latest

• A Consistent Bootstrap Test for Conditional Density Functions with Time-Dependent Data

  Staff Working Paper 2001-21 Fuchun Li, Greg Tkacz

  This paper describes a new test for evaluating conditional density functions that remains valid when the data are time-dependent and that is therefore applicable to forecasting problems. We show that the test statistic is asymptotically distributed standard normal under the null hypothesis, and diverges to infinity when the null hypothesis is false.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C12, C15, E, E3, E37

• Evaluating Linear and Non-Linear Time-Varying Forecast-Combination Methods

  Staff Working Paper 2001-12 Fuchun Li, Greg Tkacz

  This paper evaluates linear and non-linear forecast-combination methods. Among the non-linear methods, we propose a nonparametric kernel-regression weighting approach that allows maximum flexibility of the weighting parameters.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C14, C5, C53, E, E2, E27