AIMS Energy, 2020, 8(5): 819-834. doi: 10.3934/energy.2020.5.819.

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Dynamic spillover effects between oil prices and stock markets: New evidence from pre and during COVID-19 outbreak

Faculty of Economics and Law, University of Finance-Marketing, Ho Chi Minh City, Vietnam

In this study, we employ both the spillover index of Diebold and Yilmaz [1], and the wavelet coherence approaches to investigate the impacts of return spillovers and dynamic timefrequency linkages between crude oil prices and five developed stock markets in Europe (the United Kingdom, Spain, Italy, German, and France) in the pre and during Covid-19 outbreak periods. The results highlight that IBEX and CAC series are net recipients of risks, while the other assets are a net transmitter of shocks in the pre-Covid-19 period. In contrast to the results for the pre-Covid-19 period, LSE, CAC, and IBEX are the net recipients of return spillovers, reaching a maximum level of about 23% during the Covid-19 outbreak. Specifically, in comparison with the pre-Covid-19 period, the return transmission is more apparent during the Covid-19 crisis. More importantly, there exist significant dependent patterns about the information spillovers, and time-frequency linkages between crude oil and five major stock markets might provide urgent prominent implications for portfolio managers, investors, and government agencies.
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Keywords Covid-19; oil market; stock market; Europe; spillover index; wavelet coherence

Citation: Ngo Thai Hung. Dynamic spillover effects between oil prices and stock markets: New evidence from pre and during COVID-19 outbreak. AIMS Energy, 2020, 8(5): 819-834. doi: 10.3934/energy.2020.5.819


  • 1. Diebold X, Yilmaz K (2012) Better to give than to receive: Predictive directional measurement of volatility spillovers. Int J Forecasting 28: 57-66.    
  • 2. Goodell W (2020) COVID-19 and finance: Agendas for future research. Finance Res Lett, 101512.
  • 3. Yu L, Zha R, Stafylas D, et al. (2020) Dependences and volatility spillovers between the oil and stock markets: New evidence from the copula and VAR-BEKK-GARCH models. Int Rev Financ Anal 68: 101280.    
  • 4. Park J, Ratti A (2008) Oil price shocks and stock markets in the US and 13 European countries. Energy Econ 30: 2587-2608.
  • 5. Chen D, Cheng M, Demirer R (2017) Oil and stock market momentum. Energy Econ 68: 151-159.    
  • 6. Lin B, Wesseh K, Appiah O (2014) Oil price fluctuation, volatility spillover and the Ghanaian equity market: Implication for portfolio management and hedging effectiveness. Energy Econ 42: 172-182.    
  • 7. Liu Z, Ding Z, Li R, et al. (2017) Research on differences of spillover effects between international crude oil price and stock markets in China and America. Nat Hazards 88: 575-590.
  • 8. Liu X, An H, Huang S, et al. (2017) The evolution of spillover effects between oil and stock markets across multi-scales using a wavelet-based GARCH-BEKK model. Phys A: Stat Mech its Appl 465: 374-383.    
  • 9. Trabelsi N (2017) Tail dependence between oil and stocks of major oil-exporting countries using the CoVaR approach. Borsa Istanbul Rev 17: 228-237.
  • 10. Wang Y, Liu L (2016) Crude oil and world stock markets: volatility spillovers, dynamic correlations, and hedging. Empirical Econ 50: 1481-1509.    
  • 11. Hamilton J (1983) Oil and the macroeconomy since World War Ⅱ. J Political Econ 91.
  • 12. Wei Y, Qin S, Li X, et al. (2019) Oil price fluctuation, stock market and macroeconomic fundamentals: Evidence from China before and after the financial crisis. Finance Res Lett 30: 23-29.    
  • 13. Ni Y, Wu M, Day M, et al. (2020) Do sharp movements in oil prices matter for stock markets? Phys A: Stat Mech its Appl 539: 122865.    
  • 14. Köse N, Ünal E (2020) The impact of oil price shocks on stock exchanges in Caspian Basin countries. Energy 190: 116383.    
  • 15. Shahrestani P, Rafei M (2020) The impact of oil price shocks on Tehran Stock Exchange returns: Application of the Markov switching vector autoregressive models. Resour Policy 65: 101579.    
  • 16. Zhu B, Ye S, He K, et al. (2019) Measuring the risk of European carbon market: An empirical mode decomposition-based value at risk approach. Ann Oper Res 281: 373-395.
  • 17. Zhu B, Huang L, Yuan L, et al. (2020) Exploring the risk spillover effects between carbon market and electricity market: A bidimensional empirical mode decomposition based conditional value at risk approach. Int Rev Econ Finance 67: 163-175.    
  • 18. Xiao D, Wang J (2020) Dynamic complexity and causality of crude oil and major stock markets. Energy 193: 116791.    
  • 19. Hamma W, Salhi B, Ghorbel A, et al. (2019) Conditional dependence structure between oil prices and international stock markets. Int J Energy Sector Manage 14: 439-46    
  • 20. Mokni K, Youssef M (2019) Measuring persistence of dependence between crude oil prices and GCC stock markets: A copula approach. The Q Rev Econ Finance 72: 14-33.    
  • 21. Bagirov M, Mateus C (2019) Oil prices, stock markets and firm performance: Evidence from Europe. Int Rev Econ Finance 61: 270-288.    
  • 22. Hung N (2020) Volatility spillovers and time-frequency correlations between Chinese and African stock markets. Online first Hung 1-20.
  • 23. Baruník J, Kočenda E, Vácha, L (2016) Gold, oil, and stocks: Dynamic correlations. Int Rev Econ Finance 42: 186-201.    
  • 24. Hung N (2020) Market integration among foreign exchange rate movements in central and eastern European countries. Soc Econ 42: 1-20.
  • 25. Torrence C, Webster J (1999) Interdecadal changes in the ENSO-monsoon system. J Clim 12: 2679-2690.
  • 26. Hung N (2018) Volatility behaviour of the foreign exchange rate and transmission among Central and Eastern European countries: evidence from the EGARCH model. Global Bus Rev, 0972150918811713.
  • 27. Hung N (2019) An analysis of CEE equity market integration and their volatility spillover effects. Eur J Manage Bus Econ 29: 23-40.    
  • 28. Hung N (2020) Conditional dependence between oil prices and CEE stock markets: A copula-GARCH approach. East J Eur Stud 11.
  • 29. Hung N (2019) Interdependence of oil prices and exchange rates: Evidence from copula-based GARCH model. AIMS Energy 7: 465-482.    


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