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Application of Markov Model in Crude Oil Price Forecasting

Author

Listed:
  • Nuhu Isah

    (Universiti Tun Hussein Onn Malaysia)

  • Abdul Talib Bon

    (Universiti Tun Hussein Onn Malaysia)

Abstract

Crude oil is an important energy commodity to mankind. Several causes have made crude oil prices to be volatile. The fluctuation of crude oil prices has affected many related sectors and stock market indices. Hence, forecasting the crude oil prices is essential to avoid the future prices of the non-renewable natural resources to rise. In this study, daily crude oil prices data was obtained from WTI dated 2 January to 29 May 2015. We used Markov Model (MM) approach in forecasting the crude oil prices. In this study, the analyses were done using EViews and Maple software where the potential of this software in forecasting daily crude oil prices time series data was explored. Based on the study, we concluded that MM model is able to produce accurate forecast based on a description of history patterns in crude oil prices.

Suggested Citation

  • Nuhu Isah & Abdul Talib Bon, 2017. "Application of Markov Model in Crude Oil Price Forecasting," Traektoriâ Nauki = Path of Science, Altezoro, s.r.o. & Dialog, vol. 3(8(25)), pages 1007-1012, August.
    • Handle: RePEc:pos:journl:25-2
    DOI: 10.22178/pos.25-3
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    References listed on IDEAS

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    Cited by:

    1. Li, Guohui & Yin, Shibo & Yang, Hong, 2022. "A novel crude oil prices forecasting model based on secondary decomposition," Energy, Elsevier, vol. 257(C).

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    More about this item

    Keywords

    forecasting; crude oil; price; Markov model.;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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