Time series modelling and forecasting of Sarawak black pepper prices / Liew Khiin Sen ... [et al.]

Pepper is an important agricultural commodity especially for the state of Sarawak. It is important to forecast its price, as this can help the policy makers in coming up with production and marketing plans to improve the Sarawak's economy as well as the farmers' welfare. In this paper, the...

Full description

Saved in:
Bibliographic Details
Main Authors: Liew, Khiin Sen (Author), Shitan, Mahendran (Author), Hussain, Huzaimi (Author)
Format: Book
Published: Universiti Teknologi MARA Sarawak, 2003-06.
Subjects:
Online Access:Link Metadata
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000 am a22000003u 4500
001 repouitm_44863
042 |a dc 
100 1 0 |a Liew, Khiin Sen  |e author 
700 1 0 |a Shitan, Mahendran  |e author 
700 1 0 |a Hussain, Huzaimi  |e author 
245 0 0 |a Time series modelling and forecasting of Sarawak black pepper prices / Liew Khiin Sen ... [et al.] 
260 |b Universiti Teknologi MARA Sarawak,   |c 2003-06. 
500 |a https://ir.uitm.edu.my/id/eprint/44863/1/44863.pdf 
520 |a Pepper is an important agricultural commodity especially for the state of Sarawak. It is important to forecast its price, as this can help the policy makers in coming up with production and marketing plans to improve the Sarawak's economy as well as the farmers' welfare. In this paper, the time series models are used to forecast the Sarawak black pepper price. It is formally shown in this paper that the pepper price series does not follow a random walk process. Through a battery of diagnostic tests, this paper further shows that Autoregressive Moving Average (ARMA) time series models fit the price series well. The ARMA (1,0) model seems to be the best fitting model for predicting the pepper price based on the data used in this study. 
546 |a en 
690 |a Agricultural economics 
690 |a Agricultural industries 
655 7 |a Article  |2 local 
655 7 |a PeerReviewed  |2 local 
787 0 |n https://ir.uitm.edu.my/id/eprint/44863/ 
856 4 1 |u https://ir.uitm.edu.my/id/eprint/44863/  |z Link Metadata