A Single Index Model procedure for interpolation intervals in Time Series

Abstract

In this paper we propose a procedure that uses single index model to construct interpolation intervals for a general class of linear processes. We present an extensive Monte Carlo experiment studying the finite sample properties of this procedure. Finally, we illustrate the performance of the proposed method with a real data example.