In the first part of the MAT8181 course, on linear (univariate) time series, I forgot to mention an important theorem. Let be a stationary time series, and a sequence of real numbers such that
then the time series defined as
is a stationary time series. Further, one can get easily that
This result can be used, if necessary in the exercises (that might save some time actually). I did not include this property in my notes because it is a bit technical to establish that this sum exists, and that the time series is stationary. It is rather simple with the spectral density (since where stands for the filter generating function), but I did not mention the spectral density since it requires some knowledge on Fourier analysis…
OpenEdition suggests that you cite this post as follows:
Arthur Charpentier (March 13, 2014). Filtering a Stationary Time Series. Freakonometrics. Retrieved October 3, 2024 from https://doi.org/10.58079/ouum
great post! thanks for sharing