Forecasting with univariate time series models : a case of export demand for Peninsular Malaysia’s moulding and chipboard.

This study determines a suitable method from the univariate time series models to forecast the export demand of moulding and chipboard volume (m³) from Peninsular Malaysia using the quarterly data from March 1982 to June 2009. Export demand for moulding and chipboard were estimated using univariate...

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Main Authors: Emang, Diana, Shitan, Mahendran, Abd. Ghani, Awang Noor, Mohd. Noor, Khamurudin
Format: Article
Language:English
English
Published: Canadian Center of Science and Education 2010
Online Access:http://psasir.upm.edu.my/id/eprint/14800/1/Forecasting%20with%20univariate%20time%20series%20models.pdf
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author Emang, Diana
Shitan, Mahendran
Abd. Ghani, Awang Noor
Mohd. Noor, Khamurudin
author_facet Emang, Diana
Shitan, Mahendran
Abd. Ghani, Awang Noor
Mohd. Noor, Khamurudin
author_sort Emang, Diana
collection UPM
description This study determines a suitable method from the univariate time series models to forecast the export demand of moulding and chipboard volume (m³) from Peninsular Malaysia using the quarterly data from March 1982 to June 2009. Export demand for moulding and chipboard were estimated using univariate time series models including the Holt-Winters Seasonal, ARAR algorithms and the seasonal ARIMA models. The seasonal ARIMA (1, 0, 4) X (0, 0, 1, 0)4 model produced the best forecast at the lowest forecast errors of MAPE, MAE and RMSE at 18.83%, 32730.8 and 35282.13, respectively. It forecasts the volume (m³) of moulding and chipboard for export to reach more than 150000 m3, and it is expected to be within range of 100000 to 250000 m3 at 95% confidence level. The forecasts assist in decision making process and facilitate a short-term marketing plan to meet the export demand from international market.
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spelling upm.eprints-148002015-09-10T04:26:56Z http://psasir.upm.edu.my/id/eprint/14800/ Forecasting with univariate time series models : a case of export demand for Peninsular Malaysia’s moulding and chipboard. Emang, Diana Shitan, Mahendran Abd. Ghani, Awang Noor Mohd. Noor, Khamurudin This study determines a suitable method from the univariate time series models to forecast the export demand of moulding and chipboard volume (m³) from Peninsular Malaysia using the quarterly data from March 1982 to June 2009. Export demand for moulding and chipboard were estimated using univariate time series models including the Holt-Winters Seasonal, ARAR algorithms and the seasonal ARIMA models. The seasonal ARIMA (1, 0, 4) X (0, 0, 1, 0)4 model produced the best forecast at the lowest forecast errors of MAPE, MAE and RMSE at 18.83%, 32730.8 and 35282.13, respectively. It forecasts the volume (m³) of moulding and chipboard for export to reach more than 150000 m3, and it is expected to be within range of 100000 to 250000 m3 at 95% confidence level. The forecasts assist in decision making process and facilitate a short-term marketing plan to meet the export demand from international market. Canadian Center of Science and Education 2010 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/14800/1/Forecasting%20with%20univariate%20time%20series%20models.pdf Emang, Diana and Shitan, Mahendran and Abd. Ghani, Awang Noor and Mohd. Noor, Khamurudin (2010) Forecasting with univariate time series models : a case of export demand for Peninsular Malaysia’s moulding and chipboard. Journal of Sustainable Development, 3 (3). pp. 157-161. ISSN 1913-9071 English
spellingShingle Emang, Diana
Shitan, Mahendran
Abd. Ghani, Awang Noor
Mohd. Noor, Khamurudin
Forecasting with univariate time series models : a case of export demand for Peninsular Malaysia’s moulding and chipboard.
title Forecasting with univariate time series models : a case of export demand for Peninsular Malaysia’s moulding and chipboard.
title_full Forecasting with univariate time series models : a case of export demand for Peninsular Malaysia’s moulding and chipboard.
title_fullStr Forecasting with univariate time series models : a case of export demand for Peninsular Malaysia’s moulding and chipboard.
title_full_unstemmed Forecasting with univariate time series models : a case of export demand for Peninsular Malaysia’s moulding and chipboard.
title_short Forecasting with univariate time series models : a case of export demand for Peninsular Malaysia’s moulding and chipboard.
title_sort forecasting with univariate time series models a case of export demand for peninsular malaysia s moulding and chipboard
url http://psasir.upm.edu.my/id/eprint/14800/1/Forecasting%20with%20univariate%20time%20series%20models.pdf
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