Prague Economic Papers 2024, 33(6):709-730 | DOI: 10.18267/j.pep.878

Oil Price Implications for the Petroleum and Pharmaceutical Industry: the Quantile Regression Approach

Sanja Bakić ORCID...
Faculty of Economics in Subotica, University of Novi Sad, Novi Sad, Serbia

In the study, quantile regression (QR) is employed as the primary research tool, with ordinary least squares (OLS) regression used for comparison purposes. The motivation for this research stems from conflicting findings in existing literature regarding the spillover effects of Brent crude oil prices for the pharmaceutical industry. Findings from the QR analysis indicate that more substantial spillover effects occur in the tail quantiles, specifically during periods of economic crisis and prosperity. Recommendations for future research should focus on gaining a deeper understanding of the mechanisms underlying the differential responses of oil and pharmaceutical companies to oil price fluctuations, as well as identifying additional factors that may moderate these effects. In light of the study's findings, it is recommended to consider different regulatory approaches that could help reduce the sensitivity of oil companies to oil price oscillations. Additionally, support for business diversification strategies is advised to mitigate potential economic risks for both industries.

Klíčová slova: oil shock spillover effect, oil and pharmaceutical industries, quantile regression
JEL classification: D00, E00, G01

Vloženo: 22. říjen 2023; Revidováno: 13. červenec 2024; Přijato: 11. říjen 2024; Zveřejněno: 30. prosinec 2024  Zobrazit citaci

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Bakić, S. (2024). Oil Price Implications for the Petroleum and Pharmaceutical Industry: the Quantile Regression Approach. Prague Economic Papers, 33(6), 709-730. doi: 10.18267/j.pep.878
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    Reference

    1. Akhtaruzzaman, M., Boubaker, S., Lucey, B. M., Sensoy, A. (2021). Is Gold a Hedge or a Safe-haven Asset in the COVID-19 Crisis? Economic Modelling, 102, 105588. https://doi.org/10.1016/j.econmod.2021.105588 Přejít k původnímu zdroji...
    2. Al Janabi, M., Hatemi, J., Irandoust, M. (2010). An Empirical Investigation of the Informational Efficiency of the GCC Equity Markets: Evidence from Bootstrap Simulation. International Review of Financial Analysis, 19(1), 47-54. https://doi.org/10.1016/j.irfa.2009.11.002 Přejít k původnímu zdroji...
    3. Al-Fayoumi, N., Bouri, E., Abuzayed, B. (2023). Decomposed Oil Price Shocks and GCC Stock Market Sector Returns and Volatility. Energy Economics, 126, 106930. https://doi.org/10.1016/j.eneco.2023.106930 Přejít k původnímu zdroji...
    4. Ali, S. R. M., Mensi, W., Anik, K. I., Rahman, M., Kang, S. H. (2022). The Impacts of COVID-19 Crisis on Spillovers between the Oil and Stock Markets: Evidence from the Largest Oil Importers and Exporters. Economic Analysis and Policy, 73, 345-372. https://doi.org/10.1016/j.eap.2021.11.009 Přejít k původnímu zdroji...
    5. Aloui, R., Ben Aïssa, M.S. (2016). Relationship between Oil, Stock Prices and Exchange Rates: A Vine Copula Based GARCH Method. North American Journal of Economics and Finance, 37, 458-471. https://doi.org/10.1016/j.najef.2016.05.002 Přejít k původnímu zdroji...
    6. Aloui, R., Hammoudeh, S., Nguyen, D.K. (2013). A Time-varying Copula Approach to Oil and Stock Market Dependence: The Case of Transition Economies. Energy Economics, 39, 208-221. https://doi.org/10.1016/j.eneco.2013.04.012 Přejít k původnímu zdroji...
    7. Alsalman, Z., Herrera, A. M., Rangaraju, S. K. (2023). Oil News Shocks and the US Stock Market. Energy Economics, 126, 106891. https://doi.org/10.1016/j.eneco.2023.106891 Přejít k původnímu zdroji...
    8. Apergis, N., Miller, S. (2009). Do Structural Oil Market Shocks Affect Stock Prices? Energy Economics, 31(4), 569-575. https://doi.org/10.1016/j.eneco.2009.03.001 Přejít k původnímu zdroji...
    9. Arouri, M., Rault, C. (2012). Oil Prices and Stock Markets in GCC Countries: Empirical Evidence from Panel Analysis. International Journal of Financial Economics, 17(3), 242-253. https://doi.org/10.2139/ssrn.1430288 Přejít k původnímu zdroji...
    10. Arouri, M.E.H., Lahiani, A., Nguyen, D.K. (2011). Return and Volatility Transmission between World Oil Prices and Stock Markets of the GCC Countries. Economic Modelling, 28, 1815-1825. https://doi.org/10.1016/j.econmod.2011.03.012 Přejít k původnímu zdroji...
    11. Ashraf, B. N. (2020). Stock Markets' Reaction to COVID-19: Cases or Fatalities? International Business and Finance, 54, 101249. https://doi.org/10.1016/j.ribaf.2020.101249 Přejít k původnímu zdroji...
    12. Atukeren, E., Çevik, E. İ., Korkmaz, T. (2021). Volatility Spillovers between WTI and Brent Spot Crude Oil Prices: An Analysis of Granger Causality in Variance Patterns over Time. Research in International Business and Finance, 56, 101385. https://doi.org/10.1016/j.ribaf.2021.101385 Přejít k původnímu zdroji...
    13. Baker, S. R., Bloom, N., Davis, S. J., Terry, S. J. (2020a). Covid-induced Economic Uncertainty. National Bureau of Economic Research. https://doi.org/10.3386/w26983 Přejít k původnímu zdroji...
    14. Baker, S. R., Bloom, N., Davis, S. J., Kost, K. J., Sammon, M. C., Viratyosin, T. (2020b). The Unprecedented Stock Market Impact of COVID-19. National Bureau of Economic Research. https://doi.org/10.3386/w26945 Přejít k původnímu zdroji...
    15. Baumeister, C., Peersman, G., 2013. Time-varying Effects of Oil Supply Shocks on the US Economy. American Economic Journal, 5(4), 1-28. https://doi.org/10.2139/ssrn.1093702 Přejít k původnímu zdroji...
    16. Benedetto, F., Mastroeni, L., Quaresima, G., Vellucci, P. (2020). Does OVX Affect WTI and Brent Oil Spot Variance? Evidence from an Entropy Analysis. Energy Economics, 89, 104815. https://doi.org/10.1016/j.eneco.2020.104815 Přejít k původnímu zdroji...
    17. Cao, G., Xie, F. (2023). The Asymmetric Impact of Crude Oil Futures on the Clean Energy Stock Market: Based on the Asymmetric Variable Coefficient Quantile Regression Model. Renewable Energy, 218, 119303. https://doi.org/10.1016/j.renene.2023.119303 Přejít k původnímu zdroji...
    18. Caro, J. M. B., Golpe, A. A., Iglesias, J., Vides, J. C. (2020). A New Way of Measuring the WTI-Brent Spread. Globalization, Shock Persistence and Common Trends. Energy Economics, 85, 104546. https://doi.org/10.1016/j.eneco.2019.104546 Přejít k původnímu zdroji...
    19. Chancharat, S., Sinlapates, P. (2023). Dependences and Dynamic Spillovers across the Crude Oil and Stock Markets throughout the COVID-19 Pandemic and Russia-Ukraine Conflict: Evidence from the ASEAN+ 6. Finance Research Letters, 57, 104249. https://doi.org/10.1016/j.frl.2023.104249 Přejít k původnímu zdroji...
    20. Chang, H. W., Chang, T., Ling, Y. H., Yang, Y. L. (2023). Dynamical Linkages between the Brent Oil Price and Stock Markets in BRICS Using Quantile Connectedness Approach. Finance Research Letters, 54, 103748. https://doi.org/10.1016/j.frl.2023.103748 Přejít k původnímu zdroji...
    21. Chen, C. D., Cheng, C. M., Demirer, R. (2017). Oil and Stock Market Momentum. Energy Economics, 68, 151-159. https://doi.org/10.1016/j.eneco.2017.09.025 Přejít k původnímu zdroji...
    22. Chevapatrakul, T., Paez-Farrell, J. (2014). Monetary Policy Reaction Functions in Small Open Economies: A Quantile Regression Approach. Manchester School, 82(2), 237-256. https://doi.org/10.1111/manc.12014 Přejít k původnímu zdroji...
    23. Chowdhury, K. B., Garg, B. (2023). Fresh Evidence on the Oil-stock Interactions under Heterogeneous Market Conditions. Finance Research Letters, 54, 103726. https://doi.org/10.1016/j.frl.2023.103726 Přejít k původnímu zdroji...
    24. Conrad, C., Loch, K., Rittler, D. (2014). On the Macroeconomic Determinants of Long-term Volatilities and Correlations in U.S. Stock and Crude Oil Markets. Journal of Empirical Finances, 29, 26-40. https://doi.org/10.1016/j.jempfin.2014.03.009 Přejít k původnímu zdroji...
    25. Elliott, G., T. Rothenberg, Stock, J.H. (1996). Efficient Tests for an Autoregressive Unit Root, Econometrica, 64, 813-836. https://doi.org/10.3386/t0130 Přejít k původnímu zdroji...
    26. Gao, X., Li, B., Liu, R. (2023). The Relative Pricing of WTI and Brent Crude Oil Futures: Expectations or Risk Premia? Journal of Commodity Markets, 30, 100274. https://doi.org/10.1016/j.jcomm.2022.100274 Přejít k původnímu zdroji...
    27. Haliloglu, E. Y., Sahin, S., Berument, M. H. (2021). Brent-Dubai Oil Spread: Basic Drivers. Economic Analysis and Policy, 72, 492-505. https://doi.org/10.1016/j.eap.2021.09.014 Přejít k původnímu zdroji...
    28. Han, L., Lv, Q., Yin, L. (2019). The Effect of Oil Returns on the Stock Markets Network. Physica A: Statistical Mechanics and its Applications, 533, 122044. https://doi.org/10.1016/j.physa.2019.122044 Přejít k původnímu zdroji...
    29. Hashmi, S. M., Chang, B. H., Bhutto, N. A. (2021). Asymmetric Effect of Oil Prices on Stock Market Prices: New Evidence from Oil-exporting and Oil-importing Countries. Resources Policy, 70, 101946. https://doi.org/10.1016/j.resourpol.2020.101946 Přejít k původnímu zdroji...
    30. Hung, N. T., Vo, X. V. (2021). Directional Spillover Effects and Time-frequency Nexus between Oil, Gold and Stock Markets: Evidence from Pre and During COVID-19 Outbreak. International Review of Financial Analysis, 76, 101730. https://doi.org/10.1016/j.irfa.2021.101730 Přejít k původnímu zdroji...
    31. Insaidoo, M., Ullah, A., Dziwornu, R. K., Amoako, S., Abdul-Mumuni, A. (2023). COVID-19 Pandemic and Stock Market Performance: A Comparative Study of Emerging Economies. Heliyon, 9(5). https://doi.org/10.1016/j.heliyon.2023.e16054 Přejít k původnímu zdroji...
    32. Jiang, Z., Yoon, S. M. (2020). Dynamic Co-movement between Oil and Stock Markets in Oil-importing and Oil-exporting Countries: Two Types of Wavelet Analysis. Energy Economics, 90, 104835. https://doi.org/10.1016/j.eneco.2020.104835 Přejít k původnímu zdroji...
    33. Jin, X., Liu, Y., Yu, J., Huang, W. (2023). COVID-19 and Extreme Risk Spillovers between Oil and BRICS Stock Markets: A Multiscale Perspective. The North American Journal of Economics and Finance, 68, 101967. https://doi.org/10.1016/j.najef.2023.101967 Přejít k původnímu zdroji...
    34. Jones, C.M. (1996). Oil and the Stock Markets. Journal of Finance, 51, 463-491. Přejít k původnímu zdroji...
    35. Klein, T. (2018). Trends and Contagion in WTI and Brent Crude Oil Spot and Futures Markets - The Role of OPEC in the Last Decade. Energy Economics, 75, 636-646. https://doi.org/10.1016/j.eneco.2018.09.013 Přejít k původnímu zdroji...
    36. Koenker, R., Bassett Jr, G. (1978). Regression Quantiles. Econometrica: Journal of the Econometric Society, 33-50. https://doi.org/10.2307/1913643 Přejít k původnímu zdroji...
    37. Lee, S. (2022). COVID-19 and A-share Banks' Stock Price Volatility: From the Perspective of the Epidemic Evolution in China and the US. Global Finance Journal, 54, 100751. https://doi.org/10.1016/j.gfj.2022.100751 Přejít k původnímu zdroji...
    38. Maiti, M. (2021). Quantile Regression, Asset Pricing and Investment Decision. IIMB Management Review, 33(1), 28-37. https://doi.org/10.1016/j.iimb.2021.03.005 Přejít k původnímu zdroji...
    39. Malik, F., Ewing, B.T. (2009). Volatility Transmission between Oil Prices and Equity Sector Returns. International Review of Financial Analysis, 18, 95-100. https://doi.org/10.1016/j.irfa.2009.03.003 Přejít k původnímu zdroji...
    40. Mensi, W., Vo, X. V., Kang, S. H. (2022). COVID-19 Pandemic's Impact on Intraday Volatility Spillover between Oil, Gold, and Stock Markets. Economic Analysis and Policy, 74, 702-715. https://doi.org/10.1016/j.eap.2022.04.001 Přejít k původnímu zdroji...
    41. Sadorsky, P. (2012). Correlations and Volatility Spillovers between Oil Prices and the Stock Prices of Clean Energy and Technology Companies. Energy Economics, 34, 248-255. https://doi.org/10.1016/j.eneco.2011.03.006 Přejít k původnímu zdroji...
    42. Sarwar, S., Shahbaz, M., Anwar, A., Tiwari, A. K. (2019). The Importance of Oil Assets for Portfolio Optimization: The Analysis of Firm Level Stocks. Energy Economics, 78, 217-234. https://doi.org/10.1016/j.eneco.2018.11.021 Přejít k původnímu zdroji...
    43. Shariff, A., Aloui, C., Yarovaya, L. (2020). COVID-19 Pandemic, Oil Prices, Stock Market, Geopolitical Risk and Policy Uncertainty Nexus in the US Economy: Fresh Evidence from the Wavelet-based Approach. International Review of Financial Analysis, 70, 101496. https://doi.org/10.1016/j.irfa.2020.101496 Přejít k původnímu zdroji...
    44. Soriano, P., Torró, H. (2022). The Response of Brent Crude Oil to the European Central Bank Monetary Policy. Finance Research Letters, 46, 102353. https://doi.org/10.1016/j.frl.2021.102353 Přejít k původnímu zdroji...
    45. Umar, Z., Mokni, K., Manel, Y., Gubareva, M. (2024). Dynamic Spillover between Oil Price Shocks and Technology Stock Indices: A Country Level Analysis. Research in International Business and Finance, 102231. https://doi.org/10.1016/j.ribaf.2024.102231 Přejít k původnímu zdroji...
    46. Valensisi, G. (2020). COVID-19 and Global Poverty: Are LDCs Being Left Behind? The European Journal of Development Research, 32(5), 1535-1557. https://doi.org/10.35188/unu-wider/2020/830-6 Přejít k původnímu zdroji...
    47. Wang, Y. Wu, C., Yang, L. (2013). Oil Price Shocks and Stock Market Activities: Evidence from Oil-importing and Oil-exporting Countries. Journal of Competetive Economics, 41(4), 1220-1239. https://doi.org/10.2139/ssrn.2189575 Přejít k původnímu zdroji...
    48. Wang, Y., Wu, C. (2012). Forecasting Energy Market Volatility Using GARCH Models: Can Multivariate Models Beat Univariate Models? Energy Economics, 34(6), 2167-2181. https://doi.org/10.1016/j.eneco.2012.03.010 Přejít k původnímu zdroji...
    49. Wei, Y., Yu, B., Guo, X., Zhang, C. (2023). The Impact of Oil Price Shocks on the US and Chinese Stock Markets: A Quantitative Structural Analysis. Energy Reports, 10, 15-28. https://doi.org/10.1016/j.egyr.2023.05.268 Přejít k původnímu zdroji...
    50. Xie, Q., Wu, H., & Ma, Y. (2021). Refining the Asymmetric Impacts of Oil Price Uncertainty on Chinese Stock Returns Based on a Semiparametric Additive Quantile Regression Analysis. Energy Economics, 102, 105495. https://doi.org/10.1016/j.eneco.2021.105495 Přejít k původnímu zdroji...
    51. Yang, J., Li, Y., Sui, A. (2023). From Black Gold to Green: Analyzing the Consequences of Oil Price Volatility on Oil Industry Finances and Carbon Footprint. Resources Policy, 83, 103615. https://doi.org/10.1016/j.resourpol.2023.103615 Přejít k původnímu zdroji...
    52. Zhao, J., Cui, L., Liu, W., Zhang, Q. (2023). Extreme Risk Spillover Effects of International Oil Prices on the Chinese Stock Market: A GARCH-EVT-Copula-CoVaR Approach. Resources Policy, 86, 104142. https://doi.org/10.1016/j.resourpol.2023.104142 Přejít k původnímu zdroji...
    53. Zhu, H., Huang, X., Ye, F., Li, S. (2024). Frequency Spillover Effects and Cross-quantile Dependence between Crude Oil and Stock Markets: Evidence from BRICS and G7 Countries. The North American Journal of Economics and Finance, 70, 102062. https://doi.org/10.1016/j.najef.2023.102062 Přejít k původnímu zdroji...
    54. Ziadat, S. A., Mensi, W., Kang, S. H. (2024). Frequency Spillovers between Oil Shocks and Stock Markets of Top Oil-producing and Consuming Economies. Energy, 130239. https://doi.org/10.1016/j.energy.2024.130239 Přejít k původnímu zdroji...

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