Oil in the age of coronavirus: Hysteria or appropriate fall?

 
PIIS042473880024876-2-1
DOI10.31857/S042473880024876-2
Publication type Article
Status Published
Authors
Affiliation: Ural Federal University
Address: Ekaterinburg, Russia
Affiliation: Ural Federal University
Address: Russia
Affiliation: Ural Federal University
Address: Russia
Journal nameEkonomika i matematicheskie metody
EditionVolume 59 No. 1
Pages48-64
Abstract

We look at the oil price fall in the beginning of 2020 and the effects of coronavirus and the attention towards it on these prices. Such a fall was observed at multiple markets simultaneously with the spread of coronavirus and the panic around it, and oil market wasn’t an exception. Using OLS time series models, we investigate — what was the main reason behind such a fall — the coronavirus pandemic itself or rather the attention towards it. We prove the absence of straight effects of the COVID-19 itself on oil prices. At the same time we find significant negative impact of the attention towards COVID-19 on the Internet search on the oil prices. We investigate the role of the OPEC in mitigating the negative impact of coronavirus and the attention towards it. We found that after the OPEC summit both the number of Covid cases and the attention towards the disease lost its influence on oil prices. Our paper is relevant for the behavioral finance researchers, as well as for those who look at the influence of informational shocks on different markets and particularly, on the oil market and at the effect of the COVID-19 on the economy.

Keywordsoil prices, COVID-19, hysteria, panic, Google, OPEC
AcknowledgmentWe thank the RFBR for financial support in the scientific project No. 20-04-60158. We would like to thank O. Okhrin, I. Okhrin and Z. Juraeva for their valuable comments. We would also like to thank the participants of the April XXII HSE Conference (2021), the IV Russian Economic Congress (2020), the 43rd and 44th meetings of the Shatalin School Seminar (2020, 2021) and the Oil Market Prospects and Financial Stability Conference (2021) for their criticism, comments and suggestions. We also express our gratitude to the reviewer for the recommendations made, the time and labor spent on our article.
Received16.03.2023
Publication date29.03.2023
Number of characters38819
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1. Abraham A., Ikenberry D.L. (1994). The individual investor and the weekend effect. Journal of Financial and Quantitative Analysis, 29 (2), 263–277.

2. Afanasyev A.A., Ponomareva O.S. (2021). Wuhan coronavirus (SARS-CoV-2) spread in Russia: macroeconomic production function in regard to Brent crude oil price. Market Economy Problems, 1, 24–46 (in Russian).

3. Al-Awadhi A.M., Alsaifi K., Al-Awadhi A., Alhammadi S. (2020). Death and contagious infectious diseases: Impact of the COVID-19 virus on stock market returns. Journal of Behavioral and Experimental Finance, 27, 100326.

4. Alber N. (2020). The effect of coronavirus spread on stock markets: The case of the worst 6 countries. SSRN: 3578080.

5. Albulescu C. (2020). Coronavirus and oil price crash. arXiv preprint arXiv:2003.06184

6. Alfani G., Percoco M. (2019). Plague and long-term development: The lasting effects of the 1629–30 epidemics on the Italian cities. The Economic History Review, 72 (4), 1175–1201.

7. Aloui R., Aïssa M.S.B. (2016). Relationship between oil, stock prices and exchange rates: A vine copula based GARCH method. The North American Journal of Economics and Finance, 37, 458–471.

8. Alsan M., Bloom D.E., Canning D. (2006). The effect of population health on foreign direct investment inflows to low-and middle-income countries. World Development, 34 (4), 613–630.

9. Apergis E., Apergis N. (2021). Inflation expectations, volatility and Covid-19: evidence from the US inflation swap rates. Applied Economics Letters, 28 (15), 1327–1331.

10. Atri H., Kouki S., Gallali M.I. (2021). The impact of COVID-19 news, panic and media coverage on the oil and gold prices: An ARDL approach. Resources Policy, 72, 102061.

11. Bachmeier L.J., Griffin J.M. (2003). New evidence on asymmetric gasoline price responses. Review of Economics and Statistics, 85 (3), 772–776.

12. Bakshi G., Panayotov G., Skoulakis G. (2010). The Baltic Dry Index as a predictor of global stock returns, commodity returns, and global economic activity. Commodity Returns, and Global Economic Activity. October 1.

13. Barber B.M., Odean T. (2008). All that glitters: The effect of attention and news on the buying behavior of individual and institutional investors. The Review of Financial Studies, 21 (2), 785–818.

14. Barberis N., Shleifer A., Vishny R. (1998). A model of investor sentiment. Journal of Financial Economics, 49 (3), 307–343.

15. Bekiros S.D., Diks C.G. (2008). The relationship between crude oil spot and futures prices: Cointegration, linear and nonlinear causality. Energy Economics, 30 (5), 2673–2685.

16. Bhargava A., Jamison D.T., Lau L.J., Murray C.J. (2001). Modeling the effects of health on economic growth. Journal of Health Economics, 20 (3), 423–440.

17. Bijl L., Kringhaug G., Molnár P., Sandvik E. (2016). Google searches and stock returns. International Review of Financial Analysis, 45, 150–156.

18. Bildirici M., Guler Bayazit N., Ucan Y. (2020). Analyzing crude oil prices under the impact of covid-19 by using LSTARGARCHLSTM. Energies, 13 (11), 2980.

19. Binder C. (2020). Coronavirus fears and macroeconomic expectations. Review of Economics and Statistics, 102 (4), 721–730.

20. Bon G. le (1895). The crowd: A study of the popular mind. London: Ernest Benn (also Unwin, 1896).

21. Bondt W.F. de, Thaler R.H. (1987). Further evidence on investor overreaction and stock market seasonality. The Journal of Finance, 42 (3), 557–581.

22. Borensztein E., Reinhart C.M. (1994). The macroeconomic determinants of commodity prices. Staff Papers, 41 (2), 236–261.

23. Byrne J.P., Lorusso M., Xu B. (2019). Oil prices, fundamentals and expectations. Energy Economics, 79, 59–75.

24. Cepoi C.O. (2020). Asymmetric dependence between stock market returns and news during COVID-19 financial turmoil. Finance Research Letters, 36, 101658.

25. Chakraborty S. (2004). Endogenous lifetime and economic growth. Journal of Economic Theory, 116 (1), 119–137.

26. Chen Y.C., Rogoff K. (2003). Commodity currencies. Journal of international Economics, 60 (1), 133–160.

27. Chow G.C. (1960). Tests of equality between sets of coefficients in two linear regressions. Econometrica: Journal of the Econometric Society, 591–605.

28. Cole R.A., Moshirian F., Wu Q. (2008). Bank stock returns and economic growth. Journal of Banking Finance, 32 (6), 995–1007.

29. Culp S. (2020). Wall Street clobbered as crude plummets, virus crisis deepens. Reuters. March 9.

30. Dale S., Fattouh B. (2018). Peak oil demand and long-run oil prices. Energy Insight, 25, 2–11.

31. Dbouk W., Jamali I. (2018). Predicting daily oil prices: Linear and non-linear models. Research in International Business and Finance, 46, 149–165.

32. DellaVigna S. (2009). Psychology and economics: Evidence from the field. Journal of Economic Literature, 47 (2), 315–372.

33. Devpura N. (2021). Effect of COVID-19 on the relationship between Euro/USD exchange rate and oil price. MethodsX, 8, 101262.

34. Dong M., Chang C.P., Gong Q., Chu Y. (2019). Revisiting global economic activity and crude oil prices: A wavelet analysis. Economic Modelling, 78, 134–149.

35. Dong X., Bollen J. (2015). Computational models of consumer confidence from large-scale online attention data: Crowd-sourcing econometrics. PloS One, 10 (3), e0120039.

36. Drali R., Brouqui P., Raoult D. (2014). Typhus in world war I. Microbiology Today, 41 (2), 58–61.

37. Egorova Yu.V., Nepp A.N. (2021). The impact of epidemics on economic development and financial markets: A structured overview. Moscow University Economics Bulletin. Series 6. Economy, 6, 28–53 (in Russian).

38. Farid S., Kayani G.M., Naeem M.A., Shahzad S.J. H. (2021). Intraday volatility transmission among precious metals, energy and stocks during the COVID-19 pandemic. Resources Policy, 72, 102101.

39. Frondel M., Vance C., Kihm A. (2016). Time lags in the pass-through of crude oil prices: big data evidence from the German gasoline market. Applied Economics Letters, 23 (10), 713–717.

40. Garbade K.D., Silber W.L. (1983). Price movements and price discovery in futures and cash markets. The Review of Economics and Statistics, 289–297.

41. Gehlen F.L. (1977). Toward a revised theory of hysterical contagion. Journal of Health and Social Behavior, 27–35.

42. Gertler P., Gruber J. (2002). Insuring consumption against illness. American Economic Review, 92 (1), 51–70.

43. Giannarakis G., Lemonakis C., Sormas A., Georganakis C. (2017). The effect of Baltic Dry Index, gold, oil and USA trade balance on Dow–Jones sustainability index world. International Journal of Economics and Financial Issues, 7 (5), 155.

44. Giglio S., Maggiori M., Stroebel J., Utkus S. (2021). The joint dynamics of investor beliefs and trading during the COVID-19 crash. Proceedings of the National Academy of Sciences, 118 (4), e2010316118.

45. Gil-Alana L.A., Monge M. (2020). Crude oil prices and COVID-19: Persistence of the shock. Energy Research Letters, 1 (1), 13200.

46. Granger C.W. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica: Journal of the Econometric Society, 424–438.

47. Griffin J.M., Teece D.J. (2016). OPEC behaviour and world oil prices. London: Routledge.

48. Gurvich E.T., Prilepskiy I.V. (2018). Analysis of expert and official oil price forecasts. Voprosy Economiki, 4, 26–48 (in Russian).

49. Hamilton J.D. (1983). Oil and the macroeconomy since World War II. Journal of Political Economy, 91 (2), 228–248.

50. Hamilton J.D. (2009). Understanding crude oil prices. The Energy Journal, 30 (2), 179–206.

51. Haroon O., Rizvi S.A. R. (2020). COVID-19: Media coverage and financial markets behavior — a sectoral inquiry. Journal of Behavioral and Experimental Finance, 27, 100343.

52. Hassan G., Cooray A., Holmes M. (2017). The effect of female and male health on economic growth: Cross-country evidence within a production function framework. Empirical Economics, 52 (2), 659–689.

53. Imai K.S., Gaiha R., Thapa G.B. (2008). Transmission of world commodity prices to domestic commodity prices in India and China. Brooks World Poverty Institute Working Paper, 45.

54. Johnson N.P., Mueller J. (2002). Updating the accounts: Global mortality of the 1918–1920 ‘Spanish’ influenza pandemic. Bulletin of the History of Medicine, 76 (1), 105–115.

55. Kalemli-Ozcan S., Ryder H.E., Weil D.N. (2000). Mortality decline, human capital investment, and economic growth. Journal of Development Economics, 62 (1), 1–23.

56. Kathiravan C., Raja M., Chinnadorai K.M. (2018). Stock market returns and the weather effect in Sri Lanka. SMART Journal of Business Management Studies, 14 (2), 78–85.

57. Kaufmann R.K., Dees S., Karadeloglou P., Sanchez M. (2004). Does OPEC matter? An econometric analysis of oil prices. The Energy Journal, 25 (4), 67–90.

58. Kaukin A., Filicheva E., Freinkman L. (2016). Determinants of Russian Retail Petroleum Prices. Journal of the New Economic Association, 30 (2), 34–59 (in Russian).

59. Kaukin A., Miller E. (2022) Monitoring the situation on the oil market in the second quarter of 2022. Moscow: Gaidar Institute for Economic Policy (in Russian).

60. Kawa L. (2020). Stock market volatility tops financial crisis with vix at record. Bloomberg. March 17.

61. Kilian L. (2009). Not all oil price shocks are alike: Disentangling demand and supply shocks in the crude oil market. American Economic Review, 99 (3), 1053–1069.

62. Konstantakis K.N., Melissaropoulos I.G., Daglis T., Michaelides P.G. (2021). The euro to dollar exchange rate in the Covid-19 era: Evidence from spectral causality and Markov-switching estimation. International Journal of Finance Economics, February, 2021, 1–19.

63. Kunieda T. (2014). A note on the crowd-in effect of asset bubbles in the perpetual youth model. Mathematical Social Sciences, 72, 50–54.

64. Kyle A.S., Xiong W. (2001). Contagion as a wealth effect. The Journal of Finance, 56 (4), 1401–1440.

65. Langley P., Leyshon A. (2017). Capitalizing on the crowd: The monetary and financial ecologies of crowdfunding. Environment and Planning A, 49 (5), 1019–1039.

66. Lebrun F. (1980). Les crises démographiques en France aux XVIIe et XVIIIe siècles. In: Annales. Histoire, Sciences Sociales, 35, 2, 205–234. Cambridge: Cambridge University Press.

67. Lin S.X., Tamvakis M. (2010). OPEC announcements and their effects on crude oil prices. Energy Policy, 38 (2), 1010–1016.

68. Liu H. (2020). Wall Street tumbles in panic selling amid COVID-19 crisis. Xinhua, March 13.

69. Liu H., Manzoor A., Wang C., Zhang L., Manzoor Z. (2020). The COVID-19 outbreak and affected countries stock markets response. International Journal of Environmental Research and Public Health, 17 (8), 2800.

70. Lyócsa Š., Baumöhl E., Výrost T., Molnár P. (2020). Fear of the coronavirus and the stock markets. Finance Research Letters, 36, 101735.

71. Mackay C. (2012). Extraordinary popular delusions and the madness of crowds. New York: Simon and Schuster.

72. Malanichev A. (2018). Shale oil: Production potential as a function of price. HSE Economic Journal, 22 (2), 275–293 (in Russian).

73. Maliszewska M., Mattoo A., Van Der Mensbrugghe D. (2020). The potential impact of COVID-19 on GDP and trade: A preliminary assessment. World Bank policy research working paper, 9211.

74. Malliaris A.G., Malliaris M. (2013). Are oil, gold and the euro inter-related? Time series and neural network analysis. Review of Quantitative Finance and Accounting, 40 (1), 1–14.

75. Maur E. (1995). Humans and plague in history. Demografie, 37 (1), 36–41.

76. Mauro P. (2003). Stock returns and output growth in emerging and advanced economies. Journal of Development Economics, 71 (1), 129–153.

77. McKibbin W., Fernando R. (2021). The global macroeconomic impacts of COVID-19: Seven scenarios. Asian Economic Papers, 20 (2), 1–30.

78. McLafferty S. (2010). Placing pandemics: Geographical dimensions of vulnerability and spread. Eurasian Geography and Economics, 51 (2), 143–161.

79. Möbert J. (2007). Crude oil price determinants. No. 186. Darmstadt discussion papers in economics.

80. Narayan P.K. (2020). Oil price news and COVID-19 — Is there any connection? Energy Research Letters, 1 (1), 13176.

81. Nepp A., Karpeko F. (2022). Hype as a factor on the global market: The case of bitcoin. Journal of Behavioral Finance, May 2022, 1–14.

82. Nepp A., Okhrin O., Egorova J., Dzhuraeva Z., Zykov A. (2022). What threatens stock markets more-The coronavirus or the hype around it? International Review of Economics Finance, 78, 519–539.

83. Nor N.M., Sirag A., Thinng W.B. K., Waziri S.I. (2015). Diseases and economic performance: Evidence from panel data. Asian Social Science, 11 (9), 198.

84. Pindyck R.S., Rotemberg J.J. (1990). The excess co-movement of commodity prices. The Economic Journal, 100 (403), 1173–1189.

85. Polbin A.V., Skrobotov A.A. (2022). On decrease in oil price elasticity of GDP and investment in Russia. Applied Econometrics, 66, 5–24 (in Russian).

86. Polterovich V.M. (2018). Internet, civic culture and the evolution of coordination mechanisms. Herald of CEMI, 1, 1. (in Russian).

87. Potanin B.S., Trifonov Yu.S. (2021). The influence of investors’ expectations on oil prices. Applied Econometrics, 63, 76–90 (in Russian).

88. Qadan M., Nama H. (2018). Investor sentiment and the price of oil. Energy Economics, 69, 42–58.

89. Razek N.H., Michieka N.M. (2019). OPEC and non-OPEC production, global demand, and the financialization of oil. Research in International Business and Finance, 50, 201–225.

90. Razumnova L.L. (2010). Transformation of the world oil market in the context of financial globalization. Abstract of doct. economy sciences: 08.00.14. Moscow: EDN XAGQYP. 48 p. (in Russian).

91. Razumnova L.L., Svetlov N.M. (2010). The influence of the financial market on the price of oil. Economics and Mathematical Methods, 46 (4), 28–55 (in Russian).

92. Salisu A.A., Ogbonna A.E., Adewuyi A. (2020). Google trends and the predictability of precious metals. Resources Policy, 65, 101542.

93. Salisu A.A., Vo X.V., Lawal A. (2021). Hedging oil price risk with gold during COVID-19 pandemic. Resources Policy, 70, 101897.

94. Samanta S.K., Zadeh A.H. (2012). Co-movements of oil, gold, the US dollar, and stocks. Modern Economy, 3, 1, 111–117.

95. Sansa N.A. (2020). The Impact of the COVID-19 on the Financial Markets: Evidence from China and USA. Electronic Research Journal of Social Sciences and Humanities, 2, II, 1–39.

96. Schoenfeld J. (2020). The invisible risk: Pandemics and the financial markets. Tuck School of Business Working Paper, 3567249.

97. Shen C.H., Lee C.C. (2006). Same financial development yet different economic growth: Why? Journal of Money, Credit and Banking, 1907–1944.

98. Sherif M. (2020). The impact of Coronavirus (COVID-19) outbreak on faith-based investments: An original analysis. Journal of Behavioral and Experimental Finance, 28, 100403.

99. Shu C. (2010). Impact of the renminbi exchange rate on Asian currencies. In Currency internationalization: Global experiences and implications for the renminbi, 221–235. London: Palgrave Macmillan.

100. Silvapulle P., Moosa I.A. (1999). The relationship between spot and futures prices: evidence from the crude oil market. Journal of Futures Markets: Futures, Options, and Other Derivative Products, 19 (2), 175–193.

101. Sokolov M. (2019). Prospects for world oil consumption and dynamics of world prices for it. The Bulletin of the Institute of Economics of the Russian Academy of Sciences, 4, 108–124 (in Russian).

102. Solow R.M. (1956). A contribution to the theory of economic growth. The Quarterly Journal of Economics, 70 (1), 65–94.

103. Stevens P. (2018). The role of oil and gas in the economic development of the global economy. Extractive Industries, 71, 1–746.

104. Swift R. (2011). The relationship between health and GDP in OECD countries in the very long run. Health Economics, 20 (3), 306–322.

105. Turhan I., Hacihasanoglu E., Soytas U. (2013). Oil prices and emerging market exchange rates. Emerging Markets Finance and Trade, 49 (sup1), 21–36.

106. Varshavskiy L., (2018). Uncertainty factor in modeling dynamics of economic systems. Computer Research and Modelling, 10 (2), 261–276 (in Russian).

107. Varshavsky L. (2009). Modeling Dynamics of oil prices under different regimes of oil market development. Applied Econometrics, 13(1), 70–88 (in Russian).

108. Varshavsky L. (2010). Crisis of financial system and evolution of commodities market. Applied Econometrics, 17 (1), 30–44 (in Russian).

109. Wang Q., Sun X. (2017). Crude oil price: Demand, supply, economic activity, economic policy uncertainty and wars — From the perspective of structural equation modelling (SEM). Energy, 133, 483–490.

110. Watanabe M. (2002). An outbreak of epidemic louse-borne typhus in Tokyo 1914: A study on the prevention of epidemics. Nihon Ishigaku Zasshi [Journal of Japanese History of Medicine], 48 (4), 597–616.

111. Welford M. (2018). Geographies of plague pandemics: The spatial-temporal behavior of plague to the modern day. London: Routledge.

112. Xu Y., Lien D. (2022). COVID-19 and currency dependences: Empirical evidence from BRICS. Finance Research Letters, 45, 102119.

113. Yang W., Lin D., Yi Z. (2017). Impacts of the mass media effect on investor sentiment. Finance Research Letters, 22, 1–4.

114. Zhang D., Hu M., Ji Q. (2020). Financial markets under the global pandemic of COVID-19. Finance Research Letters, 36, 101528.

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