A consistent estimator of the smoothing operator in the functional Hodrick-Prescott filter
In this paper, we consider a version of the functional Hodrick-Prescott filter for functional time series. We show that the associated optimal smoothing operator preserves the ‘noise-to-signal ratio’ structure. Moreover, as the main result, we propose a consistent estimator of this optimal smoothing operator.