Abstract:
This paper considers the problem of bootstrapping a local linear estimator in conditional quantile estimation of a
financial time series assuming independent and identically distributed errors. A nonparametric regression
bootstrap generating process is estimated, then bootstrap confidence bands fitted to the quantile estimates.
Under appropriate assumptions, the local linear bootstrap estimator is known to be consistent.
