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

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.

Abstract

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.

Metadata

Item Type: Book Section
Creators:
CreatorsID Num. / Email
Karia, Abdul AzizUNSPECIFIED
Subjects: L Education > LB Theory and practice of education > Higher Education > Dissertations, Academic. Preparation of theses > Malaysia
Divisions: Universiti Teknologi MARA, Shah Alam > Institut Pengajian Siswazah (IPSis) : Institute of Graduate Studies (IGS)
Series Name: IPSis Biannual Publication
Volume: 6
Number: 6
Item ID: 19679
Uncontrolled Keywords: Abstract; Abstract of thesis; Newsletter; Research information; Doctoral graduates; IPSis; IGS; UiTM; crude palm oil
URI: http://ir.uitm.edu.my/id/eprint/19679

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