Crude Palm Oil Price Forecasting: Box-Jenkins Approach
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 to be (0, 2, 1) (0, 1, 1) 6' This model indicates that the original crude palm oil series is non-stationary and contains s...
| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
1986
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| Online Access: | http://psasir.upm.edu.my/id/eprint/2365/ http://psasir.upm.edu.my/id/eprint/2365/1/Crude_Palm_Oil_Price_Forecasting_Box-Jenkins_Approach.pdf |
| _version_ | 1848839226268844032 |
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| author | Mohd Arshad, Fatimah A. Ghaffar, Roslan |
| author_facet | Mohd Arshad, Fatimah A. Ghaffar, Roslan |
| author_sort | Mohd Arshad, Fatimah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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 to be (0, 2, 1)
(0, 1, 1) 6' This model indicates that the original crude palm oil series is non-stationary and contains
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. |
| first_indexed | 2025-11-15T07:08:05Z |
| format | Article |
| id | upm-2365 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T07:08:05Z |
| publishDate | 1986 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-23652013-05-27T07:00:36Z http://psasir.upm.edu.my/id/eprint/2365/ Crude Palm Oil Price Forecasting: Box-Jenkins Approach Mohd Arshad, Fatimah A. Ghaffar, Roslan 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 to be (0, 2, 1) (0, 1, 1) 6' This model indicates that the original crude palm oil series is non-stationary and contains 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. 1986 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/2365/1/Crude_Palm_Oil_Price_Forecasting_Box-Jenkins_Approach.pdf Mohd Arshad, Fatimah and A. Ghaffar, Roslan (1986) Crude Palm Oil Price Forecasting: Box-Jenkins Approach. Pertanika, 9 (3). pp. 359-367. English |
| spellingShingle | Mohd Arshad, Fatimah A. Ghaffar, Roslan Crude Palm Oil Price Forecasting: Box-Jenkins Approach |
| title | Crude Palm Oil Price Forecasting: Box-Jenkins Approach |
| title_full | Crude Palm Oil Price Forecasting: Box-Jenkins Approach |
| title_fullStr | Crude Palm Oil Price Forecasting: Box-Jenkins Approach |
| title_full_unstemmed | Crude Palm Oil Price Forecasting: Box-Jenkins Approach |
| title_short | Crude Palm Oil Price Forecasting: Box-Jenkins Approach |
| title_sort | crude palm oil price forecasting: box-jenkins approach |
| url | http://psasir.upm.edu.my/id/eprint/2365/ http://psasir.upm.edu.my/id/eprint/2365/1/Crude_Palm_Oil_Price_Forecasting_Box-Jenkins_Approach.pdf |