Effects of temporal aggregation on estimates and jForecasts of fractionally integrated processes: a Monte-Carlo study
UNSPECIFIED. (2004) Effects of temporal aggregation on estimates and jForecasts of fractionally integrated processes: a Monte-Carlo study. INTERNATIONAL JOURNAL OF FORECASTING, 20 (3). pp. 487-502. ISSN 0169-2070Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/S0169-2070(03)00066-9
For a fractionally integrated ARFIMA(p,d,q) model, temporal aggregation changes the order of the process to an ARFIMA(p,d,infinity), while leaving the value of d unchanged. This paper analyses the effects of temporal aggregation on the estimated long memory parameter, d, using both semi-parametric and parametric estimation methods. We find that if, for the non-aggregated series, the bias in the fractional parameter is large due to the influence of short run AR and MA parameters, temporal aggregation can reduce this bias. We compare aggregated forecasts from the underlying (non-aggregated) series with forecasts from the aggregated series and find that for d < 0, forecasts from the aggregated series are generally superior. For d > 0, the forecast comparison results are less clear-cut. (C) 2003 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.
|Item Type:||Journal Article|
|Subjects:||H Social Sciences > HC Economic History and Conditions
H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
|Journal or Publication Title:||INTERNATIONAL JOURNAL OF FORECASTING|
|Publisher:||ELSEVIER SCIENCE BV|
|Number of Pages:||16|
|Page Range:||pp. 487-502|
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