Forecast horizon aggregation in integer autoregressive moving average (INARMA) models
Mohammadipour, Maryam ORCID: https://orcid.org/0000-0002-7512-5292 and Boylan, John E.
(2012)
Forecast horizon aggregation in integer autoregressive moving average (INARMA) models.
Omega, 40
(6)
.
pp. 703-712.
ISSN 0305-0483
[Article]
(doi:10.1016/j.omega.2011.08.008)
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Abstract
This paper addresses aggregation in integer autoregressive moving average (INARMA) models. Although aggregation in continuous-valued time series has been widely discussed, the same is not true for integer-valued time series. Forecast horizon aggregation is addressed in this paper. It is shown that the overlapping forecast horizon aggregation of an INARMA process results in an INARMA process. The conditional expected value of the aggregated process is also derived for use in forecasting. A simulation experiment is conducted to assess the accuracy of the forecasts produced by the aggregation method and to compare it to the accuracy of cumulative h-step ahead forecasts over the forecasting horizon. The results of an empirical analysis are also provided.
Item Type: | Article |
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Research Areas: | A. > Business School > International Management and Innovation |
Item ID: | 14530 |
Useful Links: | |
Depositing User: | Maryam Mohammadipour |
Date Deposited: | 14 Apr 2015 15:47 |
Last Modified: | 30 Nov 2022 00:24 |
URI: | https://eprints.mdx.ac.uk/id/eprint/14530 |
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