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The Impacts of Oil Prices, Exchange Rate and COVID-19 Pandemic on BIST Petrochemical Market

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  • Seval Mutlu Camoglu

    (Department of Economics, Ordu University)

Abstract

Stock markets are developing with the economic growth of the countries in a liberal market economy. Petrochemicals is an indicator of the performance of the country's industry with high inter-industry linkage by providing input to several sectors, producing various outputs with a certain number of raw materials. The COVID-19 pandemic period has affected all markets worldwide and caused fluctuations in the index values of large firms in the petrochemical industry in Borsa Istanbul (BIST). This study analyzes the impact of the pandemic period and change in the oil prices and exchange rate on the petrochemical market in Turkey. The monthly data of petrochemical stock market index, exchange rate, oil prices are used in this time series analysis. A pandemic information index representing the COVID-19 pandemic was derived and included in the model. According to the results, it is observed that the most important determinant of the fluctuations on the BIST petrochemical index is the oil prices. While a shock in oil prices negatively affects the BIST petrochemical index, the petrochemical index responds positively to the shock in the pandemic index.

Suggested Citation

  • Seval Mutlu Camoglu, 2021. "The Impacts of Oil Prices, Exchange Rate and COVID-19 Pandemic on BIST Petrochemical Market," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 7(1), pages 17-33, June.
    • Handle: RePEc:ana:journl:v:7:y:2021:i:1:p:17-33
    DOI: 10.22440/wjae.7.1.2
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    as
    1. Chern, Wen S. & Zuo, Jun, 2006. "Impacts of Fat and Cholesterol Information On Consumer Demand: Application of New Indexes," Working Papers 28321, Ohio State University, Department of Agricultural, Environmental and Development Economics.
    2. Caporale, Guglielmo Maria & Menla Ali, Faek & Spagnolo, Nicola, 2015. "Oil price uncertainty and sectoral stock returns in China: A time-varying approach," China Economic Review, Elsevier, vol. 34(C), pages 311-321.
    3. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    4. Liu, Feng & Shao, Shuai & Zhang, Chuanguo, 2020. "How do China's petrochemical markets react to oil price jumps? A comparative analysis of stocks and commodities," Energy Economics, Elsevier, vol. 92(C).
    5. Greenwood, Jeremy & Smith, Bruce D., 1997. "Financial markets in development, and the development of financial markets," Journal of Economic Dynamics and Control, Elsevier, vol. 21(1), pages 145-181, January.
    6. Thomas Verbeek & Alice Mah, 2020. "Integration and Isolation in the Global Petrochemical Industry: A Multiscalar Corporate Network Analysis," Economic Geography, Taylor & Francis Journals, vol. 96(4), pages 363-387, August.
    7. Levine, Ross & Zervos, Sara, 1996. "Stock Market Development and Long-Run Growth," The World Bank Economic Review, World Bank, vol. 10(2), pages 323-339, May.
    8. Sanaz Atarodi & Abdolmajid Dehghan & Mohammadreza Asgari, 2018. "The Effect of Exchange Rate Fluctuations and Oil Prices on the Export-Oriented Industries of the Country's Capital Market (Case Study: Stock Companies of Petrochemical Industry)," International Journal of Economics and Financial Issues, Econjournals, vol. 8(1), pages 136-142.
    9. Walid Mensi, 2019. "Global financial crisis and co-movements between oil prices and sector stock markets in Saudi Arabia: A VaR based wavelet," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 19(1), pages 24-38, March.
    10. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    11. James H. Stock & Mark W. Watson, 2001. "Vector Autoregressions," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 101-115, Fall.
    12. Ewing, Bradley T. & Riggs, Kent & Ewing, Keith L., 2007. "Time series analysis of a predator-prey system: Application of VAR and generalized impulse response function," Ecological Economics, Elsevier, vol. 60(3), pages 605-612, January.
    13. Rafiq, Shuddhasawtta & Salim, Ruhul & Bloch, Harry, 2009. "Impact of crude oil price volatility on economic activities: An empirical investigation in the Thai economy," Resources Policy, Elsevier, vol. 34(3), pages 121-132, September.
    14. Deborah J. Brown & Lee F. Schrader, 1990. "Cholesterol Information and Shell Egg Consumption," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 548-555.
    15. Gábor Dávid Kiss & Gábor Zoltán Tanács & Edit Lippai-Makra & Tamás Rácz, 2020. "Last Resort: European Central Bank’s Permanent Engagement in Tackling Foreign Exchange Liquidity Disruptions in the Euro Area Banking System," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 19(4), pages 83-106.
    16. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
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    More about this item

    Keywords

    Petrochemical stock market; Pandemic information index; Oil prices; Time series analysis;
    All these keywords.

    JEL classification:

    • N50 - Economic History - - Agriculture, Natural Resources, Environment and Extractive Industries - - - General, International, or Comparative
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates

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