MATRIX FORMULAS FOR NONSTATIONARY ARIMA SIGNAL EXTRACTION

Tucker Sprague McElroy ()

Econometric Theory, 2008, vol. 24, issue 04, pages 988-1009

Abstract: The paper provides general matrix formulas for minimum mean squared error signal extraction for a finitely sampled time series whose signal and noise components are nonstationary autoregressive integrated moving average processes. These formulas are quite practical; in addition to being simple to implement on a computer, they make it possible to easily derive important general properties of the signal extraction filters. We also extend these formulas to estimates of future values of the unobserved signal, and we show how this result combines signal extraction and forecasting.

Date: 2008

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Persistent link: http://EconPapers.repec.org/RePEc:cup:etheor:v:24:y:2008:i:04:p:988-1009_08

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