Citation
Fatimah Mohd Arshad, . and Roslan Abdul Ghaffar, . Crude palm oil price forecasting: Box-Jenkins approach. pp. 359-367. ISSN 0126-6128
Abstract
A univariate ARIMA model developed by Box-Jenkins was utilised to forecast the short-run monthly price of crude palm oil. The appropriate model for forecasting was found. This model indicated that the original crude palm oil series was non-stationary and contained some elements of multiplicity hence inheriting moving average process. The identified ARIMA model induced the data series into a stochastic one making it a suitable model for forecasting crude palm oil prices in the short term
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Abstract
A univariate ARIMA model developed by Box-Jenkins was utilised to forecast the short-run monthly price of crude palm oil. The appropriate model for forecasting was found. This model indicated that the original crude palm oil series was non-stationary and contained some elements of multiplicity hence inheriting moving average process. The identified ARIMA model induced the data series into a stochastic one making it a suitable model for forecasting crude palm oil prices in the short term
Additional Metadata
Item Type: | Article |
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Additional Information: | Ill.; 2 tables; 16 ref. Summaries (En Malay) |
AGROVOC Term: | ACEITES DE PALMAS |
AGROVOC Term: | PRONOSTICO |
AGROVOC Term: | PRECIOS |
AGROVOC Term: | MODELOS/ MERCADEO |
Depositing User: | Ms. Norfaezah Khomsan |
Last Modified: | 24 Apr 2025 05:54 |
URI: | http://webagris.upm.edu.my/id/eprint/19076 |
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