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Time series modelling and forecasting of Sarawak black pepper price


  • Liew, Venus Khim-Sen
  • Shitan, Mahendran
  • Hussain, Huzaimi


Pepper is an important agriculture commodity especially for the state of Sarawak. It is important to forecast its price, as this could help the policy makers in coming up with production and marketing plan to improve the Sarawak’s economy as well as the farmers’welfare. In this paper, we take up time series modelling and forecasting of the Sarawak black pepper price. Our empirical results show that Autoregressive Moving Average (ARMA) time series models fit the price series well and they have correctly predicted the future trend of the price series within the sample period of study. Amongst a group of 25 fitted models, ARMA (1, 0) model is selected based on post-sample forecast criteria.

Suggested Citation

  • Liew, Venus Khim-Sen & Shitan, Mahendran & Hussain, Huzaimi, 2000. "Time series modelling and forecasting of Sarawak black pepper price," MPRA Paper 791, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:791

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    Cited by:

    1. Ahmad Zubaidi Baharumshah & Liew Khim Sen, 2003. "The Predictability of ASEAN-5 Exchange Rates," International Finance 0307004, EconWPA.

    More about this item


    Time series; pepper (Piper nigrum L.); Autoregressive Moving Average model; forecasting; forecast accuracy;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices


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