Crude palm oil price forecasting in Malaysia : an econometric approach

This paper aims to forecast the performance of crude palm oil price (CPO) in Malaysia by comparing several econometric forecasting techniques, namely Autoregressive Distributed Lag (ARDL), Autoregressive Integrated Moving Average (ARIMA) and Autoregressive Integrated Moving Average with exogenous...

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Main Authors: Norlin Khalid, Hakimah Nur Ahmad Hamidi, Sharmila Thinagar, Nur Fakhzan Marwan
Format: Article
Language:en
Published: Penerbit Universiti Kebangsaan Malaysia 2018
Online Access:http://journalarticle.ukm.my/20085/1/jeko_523-19.pdf
http://journalarticle.ukm.my/20085/
https://www.ukm.my/jem/issue/v52i3/
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author Norlin Khalid,
Hakimah Nur Ahmad Hamidi,
Sharmila Thinagar,
Nur Fakhzan Marwan,
author_facet Norlin Khalid,
Hakimah Nur Ahmad Hamidi,
Sharmila Thinagar,
Nur Fakhzan Marwan,
author_sort Norlin Khalid,
building Tun Sri Lanang Library
collection Institutional Repository
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
continent Asia
country Malaysia
description This paper aims to forecast the performance of crude palm oil price (CPO) in Malaysia by comparing several econometric forecasting techniques, namely Autoregressive Distributed Lag (ARDL), Autoregressive Integrated Moving Average (ARIMA) and Autoregressive Integrated Moving Average with exogenous inputs (ARIMAX). Using monthly time series data spanning from 2008 to 2017, the main results revealed that ARIMAX model is the most accurate and the most efficient model as compared to ARDL and ARIMA in forecasting the crude palm oil price. The results also show that the spot price of palm oil is highly influenced by stock of palm oil, crude petroleum oil price and soybean oil price. The empirical findings provide some insights for decision making and policy implementations, including the formulation of strategies to help the industry in dealing with the price changes and thus enable the Malaysian palm oil industry to continue dominating the international market.
format Article
id my-ukm.journal.20085
institution Universiti Kebangsaan Malaysia
language en
publishDate 2018
publisher Penerbit Universiti Kebangsaan Malaysia
record_format eprints
spelling my-ukm.journal.200852022-10-12T00:49:37Z http://journalarticle.ukm.my/20085/ Crude palm oil price forecasting in Malaysia : an econometric approach Norlin Khalid, Hakimah Nur Ahmad Hamidi, Sharmila Thinagar, Nur Fakhzan Marwan, This paper aims to forecast the performance of crude palm oil price (CPO) in Malaysia by comparing several econometric forecasting techniques, namely Autoregressive Distributed Lag (ARDL), Autoregressive Integrated Moving Average (ARIMA) and Autoregressive Integrated Moving Average with exogenous inputs (ARIMAX). Using monthly time series data spanning from 2008 to 2017, the main results revealed that ARIMAX model is the most accurate and the most efficient model as compared to ARDL and ARIMA in forecasting the crude palm oil price. The results also show that the spot price of palm oil is highly influenced by stock of palm oil, crude petroleum oil price and soybean oil price. The empirical findings provide some insights for decision making and policy implementations, including the formulation of strategies to help the industry in dealing with the price changes and thus enable the Malaysian palm oil industry to continue dominating the international market. Penerbit Universiti Kebangsaan Malaysia 2018 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/20085/1/jeko_523-19.pdf Norlin Khalid, and Hakimah Nur Ahmad Hamidi, and Sharmila Thinagar, and Nur Fakhzan Marwan, (2018) Crude palm oil price forecasting in Malaysia : an econometric approach. Jurnal Ekonomi Malaysia, 52 (3). pp. 247-259. ISSN 0127-1962 https://www.ukm.my/jem/issue/v52i3/
spellingShingle Norlin Khalid,
Hakimah Nur Ahmad Hamidi,
Sharmila Thinagar,
Nur Fakhzan Marwan,
Crude palm oil price forecasting in Malaysia : an econometric approach
title Crude palm oil price forecasting in Malaysia : an econometric approach
title_full Crude palm oil price forecasting in Malaysia : an econometric approach
title_fullStr Crude palm oil price forecasting in Malaysia : an econometric approach
title_full_unstemmed Crude palm oil price forecasting in Malaysia : an econometric approach
title_short Crude palm oil price forecasting in Malaysia : an econometric approach
title_sort crude palm oil price forecasting in malaysia : an econometric approach
url http://journalarticle.ukm.my/20085/1/jeko_523-19.pdf
http://journalarticle.ukm.my/20085/
https://www.ukm.my/jem/issue/v52i3/
url_provider http://journalarticle.ukm.my/