In this paper multivariate ARMA models are applied to the problem of forecasting city budget variables. Unlike univariate time-series methods, multivariate models can use relationships among budget variables as well as relationships with economic and demographic indicators. Although available budget
Theory and practice of multivariate arma forecasting
β Scribed by Trond Riise; Dag Tjozstheim
- Book ID
- 102843199
- Publisher
- John Wiley and Sons
- Year
- 1984
- Tongue
- English
- Weight
- 525 KB
- Volume
- 3
- Category
- Article
- ISSN
- 0277-6693
No coin nor oath required. For personal study only.
β¦ Synopsis
We compare univariate and multivariate forecasts based on ARMA models. In theory we cannot d o worse by using a multivariate model instead of a univariate one, but we can risk getting no improvement. Conditions for no improvements are discussed as well as cases where large improvements occur.
The effect of estimated parameters is examined and found to be small granted that a good method of estimation is used. However, multivariate models could be very sensitive to structural changes. This is illustrated via an example involving monetary data, where the multivariate forecasts perform considerably worse than the univariate ones. This seems to put a limitation on the use of multivariate ARMA forecasting models.
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