Forecasting crude palm oil prices : statistical versus artificial inteligence approaches / Abdul Aziz Karia

An accurate prediction of crude palm oil (CPO) prices is important especially when investors deal with ever-increasing risks and uncertainties of the businesses in future. Observation on the movement of CPO prices suggests an inconsistent trend as the CPO prices fluctuate from time to time. With reg...

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Bibliographic Details
Main Author: Karia, Abdul Aziz
Format: Book Section
Language:English
Published: Institute of Graduate Studies, UiTM 2014
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/19679/
http://ir.uitm.edu.my/id/eprint/19679/1/ABS_ABDUL%20AZIZ%20KARIA%20TDRA%20VOL%206%20IGS_14.pdf
id uitm-19679
recordtype eprints
spelling uitm-196792018-06-07T05:43:15Z http://ir.uitm.edu.my/id/eprint/19679/ Forecasting crude palm oil prices : statistical versus artificial inteligence approaches / Abdul Aziz Karia Karia, Abdul Aziz Malaysia An accurate prediction of crude palm oil (CPO) prices is important especially when investors deal with ever-increasing risks and uncertainties of the businesses in future. Observation on the movement of CPO prices suggests an inconsistent trend as the CPO prices fluctuate from time to time. With regard to this, there is need for a development of an accurate model CPO prices prediction to facilitate efficient decision making from investors, businesses and policy makers. This prediction will at least provide a time lag between the decision making and the time at which the situation reaches the market place. Therefore, the main objective of this study is to determine the most appropriate model for the prediction of CPO prices in Malaysia. Institute of Graduate Studies, UiTM 2014 Book Section PeerReviewed text en http://ir.uitm.edu.my/id/eprint/19679/1/ABS_ABDUL%20AZIZ%20KARIA%20TDRA%20VOL%206%20IGS_14.pdf Karia, Abdul Aziz (2014) Forecasting crude palm oil prices : statistical versus artificial inteligence approaches / Abdul Aziz Karia. In: The Doctoral Research Abstracts. IPSis Biannual Publication, 6 (6). Institute of Graduate Studies, UiTM, Shah Alam.
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Malaysia
spellingShingle Malaysia
Karia, Abdul Aziz
Forecasting crude palm oil prices : statistical versus artificial inteligence approaches / Abdul Aziz Karia
description An accurate prediction of crude palm oil (CPO) prices is important especially when investors deal with ever-increasing risks and uncertainties of the businesses in future. Observation on the movement of CPO prices suggests an inconsistent trend as the CPO prices fluctuate from time to time. With regard to this, there is need for a development of an accurate model CPO prices prediction to facilitate efficient decision making from investors, businesses and policy makers. This prediction will at least provide a time lag between the decision making and the time at which the situation reaches the market place. Therefore, the main objective of this study is to determine the most appropriate model for the prediction of CPO prices in Malaysia.
format Book Section
author Karia, Abdul Aziz
author_facet Karia, Abdul Aziz
author_sort Karia, Abdul Aziz
title Forecasting crude palm oil prices : statistical versus artificial inteligence approaches / Abdul Aziz Karia
title_short Forecasting crude palm oil prices : statistical versus artificial inteligence approaches / Abdul Aziz Karia
title_full Forecasting crude palm oil prices : statistical versus artificial inteligence approaches / Abdul Aziz Karia
title_fullStr Forecasting crude palm oil prices : statistical versus artificial inteligence approaches / Abdul Aziz Karia
title_full_unstemmed Forecasting crude palm oil prices : statistical versus artificial inteligence approaches / Abdul Aziz Karia
title_sort forecasting crude palm oil prices : statistical versus artificial inteligence approaches / abdul aziz karia
publisher Institute of Graduate Studies, UiTM
publishDate 2014
url http://ir.uitm.edu.my/id/eprint/19679/
http://ir.uitm.edu.my/id/eprint/19679/1/ABS_ABDUL%20AZIZ%20KARIA%20TDRA%20VOL%206%20IGS_14.pdf
first_indexed 2023-09-18T23:03:03Z
last_indexed 2023-09-18T23:03:03Z
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