| Autor: |
Yusof, Zahayu Md, Rahman, Rosshairy Abd, Hashim, Zakiah, Hanim Mohamad Norizan, Nor Farah, Asyikin Mohd Razali, Siti Noor |
| Předmět: |
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| Zdroj: |
Journal of Global Innovations in Agricultural Sciences; 2023, Vol. 11 Issue 4, p371-376, 6p |
| Abstrakt: |
Recently, the natural rubber industry has grown to be one of Malaysia's most significant economic sectors. However, Standard Malaysia Rubber (SMR20) prices have frequently fluctuated. To predict the price situation in the future, it is crucial to construct a price prediction or forecasting model. As such, a study on forecasting Malaysian natural rubber prices over the next ten years needs to be done. The data gained for this study were from Malaysian Rubber Board covering 1995 to 2022. Univariate forecasting methods such as Holt's Winter, Double Exponential Smoothing, Naive with Trend and Autoregressive Integrated Moving Average (ARIMA) were used. The best method to forecast natural rubber prices was decided based on the lowest measurement error. From the analysis, ARIMA was chosen because it has the smallest measurement error to predict natural rubber prices over the next decade. As a result, Malaysia’s natural rubber prices showed an upward trend. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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