## Abstract This paper discusses how to specify an observable high‐frequency model for a vector of time series sampled at high and low frequencies. To this end we first study how aggregation over time affects both the dynamic components of a time series and their observability, in a multivariate li
Linking series generated at different frequencies
✍ Scribed by Namwon Hyung; Clive W.J. Granger
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 161 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0277-6693
- DOI
- 10.1002/for.1042
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
This is a report on our studies of the systematical use of mixed‐frequency datasets. We suggest that the use of high‐frequency data in forecasting economic aggregates can increase the accuracy of forecasts. The best way of using this information is to build a single model that relates the data of all frequencies, for example, an ARMA model with missing observations. As an application of linking series generated at different frequencies, we show that the use of a monthly industrial production index improves the predictability of the quarterly GNP. Copyright © 2008 John Wiley & Sons, Ltd.
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