Classical spectral techniques can provide sharp insights into the cyclical patterns in a time series of economic data. Various problems in the application of classical spectral techniques, such as the choices of smoothing routine and bandwidth and the appearance of end-effects, inhibit the...

Classical spectral techniques can provide sharp insights into the cyclical patterns in a time series of economic data. Various problems in the application of classical spectral techniques, such as the choices of smoothing routine and bandwidth and the appearance of end-effects, inhibit the...

Existing methods for data interpolation or backdating are either univariate or based on a very limited number of series, due to data and computing constraints that were binding until the recent past. Nowadays large datasets are readily available, and models with hundreds of parameters are fastly...

In this paper we study the zero frequency spectral properties of fractionally cointegrated long memory processes and introduce a new frequency domain principal components estimator of the cointegration space and the factor loading matrix for the long memory factors. We find that for fractionally...

Existing methods for data interpolation or backdating are either univariate or based on a very limited number of series, due to data and computing constraints that were binding until the recent past. Nowadays large datasets are readily available, and models with hundreds of parameters are fastly...