IDEAS home Printed from https://ideas.repec.org/a/eco/journ2/2023-04-50.html
   My bibliography  Save this article

Econometric Analysis of the Effect of Energy Prices on Exchange Rates During War Period

Author

Listed:
  • Afaq Aslanova

    (Azerbaijan State University of Economics (UNEC), Azerbaijan.)

  • Simuzar Mammadova

    (Azerbaijan State University of Economics (UNEC), Azerbaijan.)

Abstract

Petroleum and natural gas, which are among the most used energy sources in the world, have a significant impact on financial markets and macroeconomic indicators as they are used as raw materials in many fields. For this reason, Russia, Turkey, Brazil, and India, as energy importers and developing countries, may be affected positively or negatively by changes in energy prices. The main purpose of this research is to investigate the relationship between the exchange rates of Brent oil, crude oil (WTI), natural gas, the US dollar index, and the Russian ruble. In the study, weekly data between February 6, 2022, and December 25, 2022 were examined. A vector autoregressive model (VAR) was used to examine the relationship between the variables included in the analysis, and the direction of the relationship between the variables was determined by the Granger causality test. According to the results of the VAR model, the WTI price has a significant effect on the USD/RUB rate, but the USD/RUB rate does not have a significant effect on the Brent and crude oil prices. On the other hand, the results of the Granger causality test confirm the findings of the VAR analysis.

Suggested Citation

  • 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.
    • Handle: RePEc:eco:journ2:2023-04-50
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijeep/article/download/14065/7417
    Download Restriction: no
    File URL: https://www.econjournals.com/index.php/ijeep/article/view/14065
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bastianin, Andrea & Galeotti, Marzio & Manera, Matteo, 2017. "Oil supply shocks and economic growth in the Mediterranean," Energy Policy, Elsevier, vol. 110(C), pages 167-175.
    2. Ronald A. Ratti & M. Zahid Hasan, 2013. "Oil Price Shocks and Volatility in Australian Stock Returns," The Economic Record, The Economic Society of Australia, vol. 89, pages 67-83, June.
    3. Acaravci, Ali & Ozturk, Ilhan & Kandir, Serkan Yilmaz, 2012. "Natural gas prices and stock prices: Evidence from EU-15 countries," Economic Modelling, Elsevier, vol. 29(5), pages 1646-1654.
    4. Chortareas, Georgios & Noikokyris, Emmanouil, 2014. "Oil shocks, stock market prices, and the U.S. dividend yield decomposition," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 639-649.
    5. Donald W. Jones, Paul N. Leiby and Inja K. Paik, 2004. "Oil Price Shocks and the Macroeconomy: What Has Been Learned Since 1996," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 1-32.
    6. Papapetrou, Evangelia, 2001. "Oil price shocks, stock market, economic activity and employment in Greece," Energy Economics, Elsevier, vol. 23(5), pages 511-532, September.
    7. Roger D. Huang & Ronald W. Masulis & Hans R. Stoll, 1996. "Energy shocks and financial markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 16(1), pages 1-27, February.
    8. Javid Elkhan Suleymanli & Etimad Munasib Rahimli & Nurkhodzha Nazirkhodzha Akbulaev, 2020. "The Causality Analysis of the Effect of Oil and Natural Gas Prices on Ukraine Stock Index," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 108-114.
    9. Zhang, Yue-Jun & Fan, Ying & Tsai, Hsien-Tang & Wei, Yi-Ming, 2008. "Spillover effect of US dollar exchange rate on oil prices," Journal of Policy Modeling, Elsevier, vol. 30(6), pages 973-991.
    10. Cong, Rong-Gang & Wei, Yi-Ming & Jiao, Jian-Lin & Fan, Ying, 2008. "Relationships between oil price shocks and stock market: An empirical analysis from China," Energy Policy, Elsevier, vol. 36(9), pages 3544-3553, September.
    11. 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.
    12. 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.
    13. Fayyad, Abdallah & Daly, Kevin, 2011. "The impact of oil price shocks on stock market returns: Comparing GCC countries with the UK and USA," Emerging Markets Review, Elsevier, vol. 12(1), pages 61-78, March.
    14. Wang, Yijing & Geng, Xueqing & Guo, Kun, 2022. "The influence of international oil price fluctuation on the exchange rate of countries along the “Belt and Road”," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sukcharoen, Kunlapath & Zohrabyan, Tatevik & Leatham, David & Wu, Ximing, 2014. "Interdependence of oil prices and stock market indices: A copula approach," Energy Economics, Elsevier, vol. 44(C), pages 331-339.
    2. Ramos, Sofia B. & Veiga, Helena, 2011. "Risk factors in oil and gas industry returns: International evidence," Energy Economics, Elsevier, vol. 33(3), pages 525-542, May.
    3. Guglielmo Maria Caporale & Abdurrahman Nazif Catik & Gül Serife Huyugüzel Kisla & Mohamad Husam Helmi & Coskun Akdeniz, 2021. "Oil Prices, Exchange Rates and Sectoral Stock Returns in the BRICS-T Countries: A Time-Varying Approach," CESifo Working Paper Series 9322, CESifo.
    4. Lang, Korbinian & Auer, Benjamin R., 2020. "The economic and financial properties of crude oil: A review," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    5. You, Wanhai & Guo, Yawei & Zhu, Huiming & Tang, Yong, 2017. "Oil price shocks, economic policy uncertainty and industry stock returns in China: Asymmetric effects with quantile regression," Energy Economics, Elsevier, vol. 68(C), pages 1-18.
    6. Berna Aydogan & Istemi Berk, 2015. "Crude Oil Price Shocks and Stock Returns: Evidences from Turkish Stock Market under Global Liquidity Conditions," International Journal of Energy Economics and Policy, Econjournals, vol. 5(1), pages 54-68.
    7. Arturo Lorenzo Valdés & Leticia Armenta Fraire & Rocío Durán Vázquez, 2016. "A copula-TGARCH approach of conditional dependence between oil price and stock market index: the case of Mexico," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 31(1), pages 47-63.
    8. Angelidis, Timotheos & Degiannakis, Stavros & Filis, George, 2015. "US stock market regimes and oil price shocks," Global Finance Journal, Elsevier, vol. 28(C), pages 132-146.
    9. Aloui, Riadh & Ben Aïssa, Mohamed Safouane, 2016. "Relationship between oil, stock prices and exchange rates: A vine copula based GARCH method," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 458-471.
    10. Dagher, Leila & El Hariri, Sadika, 2013. "The impact of global oil price shocks on the Lebanese stock market," Energy, Elsevier, vol. 63(C), pages 366-374.
    11. Dayanandan, Ajit & Donker, Han, 2011. "Oil prices and accounting profits of oil and gas companies," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 252-257.
    12. Cong, Rong-Gang & Shen, Shaochuan, 2013. "Relationships among Energy Price Shocks, Stock Market, and the Macroeconomy: Evidence from China," MPRA Paper 112211, University Library of Munich, Germany.
    13. Singhal, Shelly & Ghosh, Sajal, 2016. "Returns and volatility linkages between international crude oil price, metal and other stock indices in India: Evidence from VAR-DCC-GARCH models," Resources Policy, Elsevier, vol. 50(C), pages 276-288.
    14. Fardous Alom, 2014. "Oil Price-Macroeconomic Relationship in Australia and New Zealand: Application of a Hidden Cointegration Technique," Institutions and Economies (formerly known as International Journal of Institutions and Economies), Faculty of Economics and Administration, University of Malaya, vol. 6(2), pages 105-128, July.
    15. Alom, Fardous, 2011. "Economic Effects of Oil and Food Price Shocks in Asia and Pacific Countries: An Application of SVAR Model," 2011 Conference, August 25-26, 2011, Nelson, New Zealand 115346, New Zealand Agricultural and Resource Economics Society.
    16. Ahmed, Walid M.A., 2017. "On the dynamic interactions between energy and stock markets under structural shifts: Evidence from Egypt," Research in International Business and Finance, Elsevier, vol. 42(C), pages 61-74.
    17. Apergis, Nicholas & Miller, Stephen M., 2009. "Do structural oil-market shocks affect stock prices?," Energy Economics, Elsevier, vol. 31(4), pages 569-575, July.
    18. 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.
    19. Mokni, Khaled, 2020. "A dynamic quantile regression model for the relationship between oil price and stock markets in oil-importing and oil-exporting countries," Energy, Elsevier, vol. 213(C).
    20. Berna Aydoğan & Gökçe Tunç & Tezer Yelkenci, 2017. "The impact of oil price volatility on net-oil exporter and importer countries’ stock markets," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 7(2), pages 231-253, August.

    More about this item

    Keywords

    Brent oil; crude oil; stock market index; ruble; US dollar index;
    All these keywords.

    JEL classification:

    • N70 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services - - - General, International, or Comparative
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eco:journ2:2023-04-50. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.