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Oil Price Predictors: Machine Learning Approach

Author

Listed:
  • Jaehyung An

    (College of Business, Hankuk University of Foreign Studies, Seoul, Korea)

  • Alexey Mikhaylov

    (Department of Financial Markets and Banks, Financial University Under the Government of the Russian Federation, Moscow, Russia,)

  • Nikita Moiseev

    (Department of Mathematical Methods in Economics, Plekhanov Russian University of Economics, Moscow, Russia)

Abstract

The paper proposes a machine-learning approach to predict oil price. Market participants can forecast prices using such factors as: US key rate, US dollar index, S&P500 index, VIX index, US consumer price index. After analyzing the results and comparing the accuracy of the model first, we can conclude that oil prices in 2019-2022 will have a slight upward trend and will generally be stable. At the time of the fall in June 2012 the price of Brent fell to a minimum of 17 months. The reason for this was the weak demand for oil futures, which was caused by poor data on the state of the US labor market.

Suggested Citation

  • Jaehyung An & Alexey Mikhaylov & Nikita Moiseev, 2019. "Oil Price Predictors: Machine Learning Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 9(5), pages 1-6.
  • Handle: RePEc:eco:journ2:2019-05-1
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    References listed on IDEAS

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    3. Leal Filho, Walter & Wall, Tony & Rui Mucova, Serafino Afonso & Nagy, Gustavo J. & Balogun, Abdul-Lateef & Luetz, Johannes M. & Ng, Artie W. & Kovaleva, Marina & Safiul Azam, Fardous Mohammad & Alves,, 2022. "Deploying artificial intelligence for climate change adaptation," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    4. Pavel Baboshkin, 2020. "Strategic Energy Partnership between Russia and China," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 158-163.
    5. Ramesh Bollapragada & Akash Mankude & V. Udayabhanu, 2021. "Forecasting the price of crude oil," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 48(2), pages 207-231, June.
    6. Evgeniy Lopatin, 2020. "Cost of Heating Pump Systems in Russia," International Journal of Energy Economics and Policy, Econjournals, vol. 10(3), pages 219-223.
    7. Xenia Tabachkova, 2021. "Consequences of Oil Supply and Demand on the Electricity Market: Coronavirus Effect," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 573-580.
    8. Schultz, Michael & Rosenow, Judith & Olive, Xavier, 2022. "Data-driven airport management enabled by operational milestones derived from ADS-B messages," Journal of Air Transport Management, Elsevier, vol. 99(C).
    9. Radosław Puka & Bartosz Łamasz, 2020. "Using Artificial Neural Networks to Find Buy Signals for WTI Crude Oil Call Options," Energies, MDPI, vol. 13(17), pages 1-20, August.
    10. Anton Lisin & Tomonobu Senjyu, 2021. "Renewable Energy Transition: Evidence from Spillover Effects in Exchange-Traded Funds," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 184-190.
    11. Artur Meynkhard, 2020. "Long-Term Prospects for the Development Energy Complex of Russia," International Journal of Energy Economics and Policy, Econjournals, vol. 10(3), pages 224-232.
    12. Martin Johnsen & Oliver Brandt & Sergio Garrido & Francisco C. Pereira, 2020. "Population synthesis for urban resident modeling using deep generative models," Papers 2011.06851, arXiv.org.
    13. Xenia Tabachkova & Sergey Prosekov & Natalia Sokolinskaya, 2020. "Energy System Structure in Russian Arctic: Coal Production Forecast," International Journal of Energy Economics and Policy, Econjournals, vol. 10(3), pages 476-481.
    14. Jihad El Hokayem & Joseph Gemayel & Dany Mezher, 2022. "Forecasting Oil Prices: A Comparative Study," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 14(7), pages 1-55, July.
    15. Bartosz Lamasz & Natalia Iwaszczuk, 2020. "Crude Oil Option Market Parameters and Their Impact on the Cost of Hedging by Long Strap Strategy," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 471-480.
    16. Uyeh Daniel Dooyum & Alexey Mikhaylov & Igor Varyash, 2020. "Energy Security Concept in Russia and South Korea," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 102-107.
    17. Ivan Udalov, 2021. "The Transition to Renewable Energy Sources as a Threat to Resource Economies," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 460-467.
    18. Jaehyung An & Mikhail Dorofeev & Shouxian Zhu, 2020. "Development of Energy Cooperation between Russia and China," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 134-139.
    19. Minxing Si & Ling Bai & Ke Du, 2021. "Discovering Energy Consumption Patterns with Unsupervised Machine Learning for Canadian In Situ Oil Sands Operations," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    20. Mikhail Bondarev, 2020. "Energy Consumption of Bitcoin Mining," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 525-529.
    21. Fe Amor Parel Gudmundsson & Sergey Prosekov & Natalia Sokolinskaya & Sergey Tarakanov & Evgeniy Lopatin, 2020. "Factors of the Formation of Modern Energetic Reality in North Western Europe," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 539-544.
    22. Paul Schwarzbach & Julia Engelbrecht & Albrecht Michler & Michael Schultz & Oliver Michler, 2020. "Evaluation of Technology-Supported Distance Measuring to Ensure Safe Aircraft Boarding during COVID-19 Pandemic," Sustainability, MDPI, vol. 12(20), pages 1-15, October.
    23. Krzysztof Drachal, 2022. "Forecasting the Crude Oil Spot Price with Bayesian Symbolic Regression," Energies, MDPI, vol. 16(1), pages 1-29, December.
    24. Nikol Tryndina & Nikita Moiseev & Evgeniy Lopatin & Sergey Prosekov & Jiang Kejun, 2020. "Trends in Corporate Energy Strategy of Russian Companies," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 202-207.
    25. Thomas Burkhardt & Diana Stepanova & Leonid Ratkin & Ismail Ismailov & Oleg Lavrushin & Natalia Sokolinskaya & Mir Sayed Shah Danish & Tomonobu Senjyu & Serhat Yuksel & Hasan Dincer, 2021. "Introduction of Biofuels as a Way of Solving Ecological Problems," International Journal of Energy Economics and Policy, Econjournals, vol. 11(2), pages 187-193.

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    More about this item

    Keywords

    oil price shocks; economic growth; oil impact; factors; dollar index; inflation; key rate; volatility index; S&P500 index.;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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