In this talk, a new resampling scheme for the construction of bootstrap prediction intervals in AR(p) processes is presented. I will discuss the relevance of fixing the last p observations as well as using the backward representation in order to obtain replicates of the available series. A simulation study shows the good behavior of the new approach compared to existing methods. Ideas for future research such as extensions to more complex models, are given.