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Statistical Analysis of the Relationship between Oil Prices and Industry Index Prices

Author

Listed:
  • Nurkhodzha Akbulaev

    (Department of Economics and Business Administration, Azerbaijan State University of Economics, Baku, Azerbaijan.)

  • Etimad Rahimli

    (Department of Economics and Business Administration, Azerbaijan State University of Economics, Baku, Azerbaijan.)

Abstract

The article is devoted to the study of the relationship between the level of industry indices and the oil market. It is proved that there are positive and negative effects associated with an increase in sales and oil prices and world indices. It is very difficult to establish a clear relationship between the level of industry indices and the development of the oil market, but statistical methods help to identify existing relationships. The purpose of the article is to identify the relationship between oil price and industry index prices through statistical analysis. The objectives of the work are: to consider existing approaches to assessing the relationship between oil price and prices of industry indices through the review of literature, to consider theoretical aspects of the relationship between oil prices for indices of stock exchanges, to form a model of statistical analysis and to check it on specific data of the Moscow Stock Exchange. Statistical analysis of the relationship between oil prices and industry index prices has helped international organizations to develop preventive measures to support positive market effects and to boost global markets.

Suggested Citation

  • Nurkhodzha Akbulaev & Etimad Rahimli, 2020. "Statistical Analysis of the Relationship between Oil Prices and Industry Index Prices," International Journal of Energy Economics and Policy, Econjournals, vol. 10(2), pages 324-331.
  • Handle: RePEc:eco:journ2:2020-02-38
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    References listed on IDEAS

    as
    1. Rida Waheed & Chen Wei & Suleman Sarwar & Yulan Lv, 2018. "Impact of oil prices on firm stock return: industry-wise analysis," Empirical Economics, Springer, vol. 55(2), pages 765-780, September.
    2. Alexey Yurievich Mikhaylov, 2018. "Pricing in Oil Market and Using Probit Model for Analysis of Stock Market Effects," International Journal of Energy Economics and Policy, Econjournals, vol. 8(2), pages 69-73.
    3. Hazem Marashdeh & Akhsyim Afandi, 2017. "Oil Price Shocks and Stock Market Returns in the Three Largest Oil-producing Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 7(5), pages 312-322.
    4. Reza Tahmoorespour & Marjan Rezvani & Meysam Safari & Elias Randjbarand, 2015. "Oil Price Fluctuations and Industry Stock Return," Bulletin of Energy Economics (BEE), The Economics and Social Development Organization (TESDO), vol. 3(3), pages 119-145, September.
    5. Ferreira, Paulo & Pereira, Éder Johson de Area Leão & Silva, Marcus Fernandes da & Pereira, Hernane Borges, 2019. "Detrended correlation coefficients between oil and stock markets: The effect of the 2008 crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 86-96.
    6. Alexey Yurievich Mikhaylov, 2018. "Volatility Spillover Effect between Stock and Exchange Rate in Oil Exporting Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 8(3), pages 321-326.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Shafa Guliyeva, 2023. "Analysis of the effect of Energy Prices on Stock Indexes During the Epidemic Crisis," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 526-536, March.
    2. Nurkhodzha Akbulaev & Elshan Mammadli & Gadir Bayramli, 2022. "The Effect of Energy Prices on Stock Indices in the Period of COVID-19: Evidence from Russia, Turkey, Brazil, and India," International Journal of Energy Economics and Policy, Econjournals, vol. 12(3), pages 262-269, May.
    3. Afaq Aslanova & Simuzar Mammadova, 2023. "Econometric Analysis of the Effect of Energy Prices on Exchange Rates During War Period," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 496-502, July.

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    More about this item

    Keywords

    Correlation-regression analysis; industry indices; oil price; pair regression model; mean approximation error; interval prediction.;
    All these keywords.

    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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