We develop and apply bootstrap methods for diffusion models when
fitted to the long run as characterized by the stationary
distribution of the data. To obtain bootstrap refinements to
statistical inference, we simulate candidate diffusion processes. We
use these bootstrap methods to assess measurements of local mean
reversion or “pull” to the center of
the distribution for short-term
interest rates. We also use them to evaluate the
fit of the model to the empirical density.