Oil market volatility: comparison of COVID-19 crisis with the SARS outbreak of 2002 and the global financial crisis of 2008

References

• Al-Maadid, A., Caporale, G. M., Spagnolo, F., & Spagnolo, N. (2017). Spillovers between food and energy prices and structural breaks. International Economics, 150, 1–18. https://doi.org/10.1016/j.inteco.2016.06.005
   Google Scholar
• Anon. (nd). Painful Side-Effects | The Economist.
   Google Scholar
• Antonakakis, N., Chatziantoniou, I., & Filis, G. (2014). Dynamic spillovers of oil price shocks and economic policy uncertainty. Energy Economics, 44, 433–447. https://doi.org/10.1016/j.eneco.2014.05.007
   Web of Science ®Google Scholar
• Bahloul, W., Balcilar, M., Cunado, J., & Gupta, R. (2018). The role of economic and financial uncertainties in predicting commodity futures returns and volatility: Evidence from a nonparametric causality-in-quantiles test. Journal of Multinational Financial Management, 45, 52–71. https://doi.org/10.1016/j.mulfin.2018.04.002
   Web of Science ®Google Scholar
• Baillie, R. T., Bollerslev, T., & Mikkelsen, H. O. (1996). Fractionally integrated generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 74(1), 3–30. https://doi.org/10.1016/S0304-4076(95)01749-6
   Web of Science ®Google Scholar
• Baker, S., Nicholas, B., Steven, D., & Stephen, T. (2020). COVID-induced economic uncertainty (Working Paper No. 26983). National Bureau of Economic Research. https://doi.org/10.3386/w26983
   Google Scholar
• Balcilar, M., Bekiros, S., & Gupta, R. (2017). The role of news-based uncertainty indices in predicting oil markets: A hybrid nonparametric quantile causality method. Empirical Economics, 53(3), 879–889. https://doi.org/10.1007/s00181-016-1150-0
   Web of Science ®Google Scholar
• Balcilar, M., Demirer, R., & Hammoudeh, S. (2019). Quantile relationship between oil and stock returns: Evidence from emerging and frontier stock markets. Energy Policy, 134, 110931. https://doi.org/10.1016/j.enpol.2019.110931
   Web of Science ®Google Scholar
• Basher, S. A., & Sadorsky, P. (2016). Hedging emerging market stock prices with oil, gold, VIX, and bonds: A comparison between DCC, ADCC and GO-GARCH. Energy Economics, 54, 235–247. https://doi.org/10.1016/j.eneco.2015.11.022
   Web of Science ®Google Scholar
• Begley, S. (2013). Flu-conomics: The next pandemic could trigger global recession. Reuters.
   Google Scholar
• Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327. Retrieved August 19, 2017 http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.468.2892&rep=rep1&type=pdf. https://doi.org/10.1016/0304-4076(86)90063-1
   Web of Science ®Google Scholar
• Bonaccolto, G., Caporin, M., & Gupta, R. (2018). The dynamic impact of uncertainty in causing and forecasting the distribution of oil returns and risk. Physica A: Statistical Mechanics and Its Applications, 507, 446–469. https://doi.org/10.1016/j.physa.2018.05.061
   Web of Science ®Google Scholar
• Bouri, E., Demirer, R., Gupta, R., & Pierdzioch, C. (2020). Infectious diseases, market uncertainty and oil market volatility. Energies, 13(16), 4090. Retrieved March 25, 2021. https://www.mdpi.com/1996-1073/13/16/4090. https://doi.org/10.3390/en13164090
   Web of Science ®Google Scholar
• Chen, X., Sun, X., & Li, J. (2020). How does economic policy uncertainty react to oil price shocks? A multi-scale perspective. Applied Economics Letters, 27(3), 188–193. https://doi.org/10.1080/13504851.2019.1610704
   Web of Science ®Google Scholar
• Das, D., Kumar, S. B., Tiwari, A. K., Shahbaz, M., & Hasim, H. M. (2018). On the relationship of gold, crude oil, stocks with financial stress: A causality-in-quantiles approach. Finance Research Letters, 27, 169–174. https://doi.org/10.1016/j.frl.2018.02.030
   Web of Science ®Google Scholar
• Degiannakis, S., & Filis, G. (2017). Forecasting oil price realized volatility using information channels from other asset classes. Journal of International Money and Finance, 76, 28–49. https://doi.org/10.1016/j.jimonfin.2017.05.006
   Web of Science ®Google Scholar
• Demirer, R., Gupta, R., Pierdzioch, C., & Shahzad, S. J. H. (2020). The predictive power of oil price shocks on realized volatility of oil: A note. Resources Policy, 69, 101856. https://doi.org/10.1016/j.resourpol.2020.101856
   PubMed Web of Science ®Google Scholar
• Diebold, F. X., & Yilmaz, K. (2012). Better to give than to receive: Predictive directional measurement of volatility spillovers. International Journal of Forecasting, 28(1), 57–66. https://doi.org/10.1016/j.ijforecast.2011.02.006
   Web of Science ®Google Scholar
• Engle, Robert F. 1982. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007.
   Google Scholar
• Engle, R. F., & Ng, V. K. (1993). Measuring and testing the impact of news on volatility. The Journal of Finance, 48(5), 1749–1778. https://doi.org/10.1111/j.1540-6261.1993.tb05127.x
   Web of Science ®Google Scholar
• Gkillas, K., Gupta, R., & Pierdzioch, C. (2020). Forecasting realized oil-price volatility: The role of financial stress and asymmetric loss. Journal of International Money and Finance, 104, 102137. https://doi.org/10.1016/j.jimonfin.2020.102137
   Web of Science ®Google Scholar
• Glosten, L. R., Jagannathan, R., & Runkle, D. E. (1993). On the relation between the expected value and the volatility of the nominal excess return on stocks. The Journal of Finance, 48(5), 1779–1801. https://doi.org/10.1111/j.1540-6261.1993.tb05128.x
   Web of Science ®Google Scholar
• Hentschel, L. (1995). All in the family nesting symmetric and asymmetric GARCH Models. Journal of Financial Economics, 39(1), 71–104. https://doi.org/10.1016/0304-405X(94)00821-H
   Web of Science ®Google Scholar
• Illing, M., & Liu, Y. (2006). Measuring financial stress in a developed country: An application to Canada. Journal of Financial Stability, 2(3), 243–265. https://doi.org/10.1016/j.jfs.2006.06.002
   Google Scholar
• Ji, Q., & Guo, J. F. (2015). Oil price volatility and oil-related events: An internet concern study perspective. Applied Energy, 137, 256–264. https://doi.org/10.1016/j.apenergy.2014.10.002
   Web of Science ®Google Scholar
• Kang, W., Ratti, R. A., & Vespignani, J. L. (2017). Oil price shocks and policy uncertainty: New evidence on the effects of US and Non-US oil production. Energy Economics, 66, 536–546. https://doi.org/10.1016/j.eneco.2017.01.027
   Web of Science ®Google Scholar
• Knobler, S. (2004). Learning from SARS. National Academies Press.
   Google Scholar
• Mensi, W., Hammoudeh, S., Nguyen, D. K., & Yoon, S. M. (2014). Dynamic spillovers among major energy and cereal commodity prices. Energy Economics, 43, 225–243. https://doi.org/10.1016/j.eneco.2014.03.004
   Web of Science ®Google Scholar
• Mirza, N., Hasnaoui, J. A., Naqvi, B., & Rizvi, S. K. A. (2020a). The impact of human capital efficiency on Latin American Mutual Funds during COVID-19 outbreak. Swiss Journal of Economics and Statistics, 156(1), 16. Retrieved October 27, 2020. https://doi.org/10.1186/s41937-020-00066-6
   PubMedGoogle Scholar
• Mirza, N. Naqvi, B., Rahat, B., & Rizvi, S. K. A, (2020b). Price reaction, volatility timing and funds’ performance during COVID-19. Finance Research Letters, 36, 101657. https://doi.org/10.1016/j.frl.2020.101657
   PubMed Web of Science ®Google Scholar
• Mirza, N., Rahat, B., Naqvi, B., & Rizvi, S. K. A. (2020c). Impact of COVID-19 on corporate solvency and possible policy responses in the EU. The Quarterly Review of Economics and Finance. Retrieved September 23, 2020 https://linkinghub.elsevier.com/retrieve/pii/S1062976920301125. https://doi.org/10.1016/j.qref.2020.09.002
   PubMedGoogle Scholar
• Narayan, P. K. (2020). Oil price news and COVID-19—Is there any connection? Energy research letters, 1(1). https://doi.org/10.46557/001c.13176
   Google Scholar
• Nazlioglu, S., Soytas, U., & Gupta, R. (2015). Oil prices and financial stress: A volatility spillover analysis. Energy Policy, 82(1), 278–288. https://doi.org/10.1016/j.enpol.2015.01.003
   Web of Science ®Google Scholar
• Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347. https://doi.org/10.2307/2938260
   Web of Science ®Google Scholar
• Rizvi, S. K. A., Mirza, N., Naqvi, B., & Rahat, B. (2020a). COVID-19 and asset management in EU: A preliminary assessment of performance and investment styles. Journal of Asset Management, 21(4), 1–211. https://doi.org/10.1057/s41260-020-00172-3
   Web of Science ®Google Scholar
• Rizvi, S. K., & Naqvi, B. (2010). Asymmetric behavior of inflation uncertainty and friedman-ball hypothesis: Evidence from Pakistan. The Lahore Journal of Economics, 15 (2), 1–33. Retrieved http://ideas.repec.org/p/pra/mprapa/19488.html. https://doi.org/10.35536/lje.2010.v15.i2.a1
   Google Scholar
• Rizvi, S. K. A., Naqvi, B., Bordes, C., & Mirza, N. (2014). Inflation volatility: An Asian perspective. Economic Research-Ekonomska Istraživanja, 27(1), 280–303. https://doi.org/10.1080/1331677X.2014.952090
   Web of Science ®Google Scholar
• Rizvi, S. K. A., Yarovaya, L., Mirza, N., & Naqvi, B. (2020b). The impact of COVID-19 on valuations of non-financial european firms. SSRN Electronic Journal. Retrieved April 30, 2021 https://papers.ssrn.com/abstract=3705462.
   Google Scholar
• Sadorsky, P. (2012). Correlations and volatility spillovers between oil prices and the stock prices of clean energy and technology companies. Energy Economics, 34(1), 248–255. https://doi.org/10.1016/j.eneco.2011.03.006
   Web of Science ®Google Scholar
• Sanders, G. D., Neumann, P. J., Basu, A., Brock, D. W., Feeny, D., Krahn, M., Kuntz, K. M., Meltzer, D. O., Owens, D. K., Prosser, L. A., Salomon, J. A., Sculpher, M. J., Trikalinos, T. A., Russell, L. B., Siegel, J. E., & Ganiats, T. G. (2016). Recommendations for conduct, methodological practices, and reporting of cost-effectiveness analyses: Second panel on cost-effectiveness in health and medicine. JAMA, 316(10), 1093–1103. https://doi.org/10.1001/jama.2016.12195
   PubMed Web of Science ®Google Scholar
• Taylor, L. H., Latham, S. M., & Woolhouse, M. E. J. (2001). Risk factors for human disease emergence. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 356(1411), 983–989. https://doi.org/10.1098/rstb.2001.0888
   PubMed Web of Science ®Google Scholar
• The World Bank. (2012). People, pathogens and our planet.
   Google Scholar
• Umar, M., Rizvi, S. K. A., & Naqvi, B. (2021). Dance with the devil? The Nexus of Fourth industrial revolution, technological financial products and volatility spillovers in global financial system. Technological Forecasting and Social Change, 163, 120450. Retrieved November 20, 2020 https://linkinghub.elsevier.com/retrieve/pii/S0040162520312762. https://doi.org/10.1016/j.techfore.2020.120450
   Web of Science ®Google Scholar
• UNGD. (2015). Socio-economic impact of Ebola virus disease in West African countries a call for national and regional containment, recovery and prevention.
   Google Scholar
• Wen, F., Zhang, M., Deng, M., Zhao, Y., & Ouyang, J. (2019). Exploring the dynamic effects of financial factors on oil prices based on a TVP-VAR model. Physica A: Statistical Mechanics and Its Applications, 532, 121881. https://doi.org/10.1016/j.physa.2019.121881
   Web of Science ®Google Scholar
• World Bank. (2016). 2014–2015 West Africa Ebola crisis: Impact update. World Bank Fiscal Report 4.
   Google Scholar
• World Health Organization. (2009). WHO guide to identifying the economic consequences of disease and injury Department of Health Systems Financing Health Systems and Services.
   Google Scholar
• Yarovaya, L., Mirza, N., Abaidi, J., & Hasnaoui, A. (2021). Human capital efficiency and equity funds’ performance during the COVID-19 pandemic. International Review of Economics & Finance, 71, 584–591. https://doi.org/10.1016/j.iref.2020.09.017
   Web of Science ®Google Scholar
• Yarovaya, L., Mirza, N., Rizvi, S. K. A., & Naqvi, B. (2020a). COVID-19 Pandemic and stress testing the eurozone credit portfolios. SSRN Electronic Journal. Retrieved April 30, 2021 https://papers.ssrn.com/abstract=3705474.
   Google Scholar
• Yarovaya, L., Mirza, N., Rizvi, S. K. A., Saba, I., & Naqvi, B. (2020b). The resilience of Islamic equity funds during COVID-19: Evidence from risk adjusted performance, investment styles and volatility timing. SSRN Electronic Journal. Retrieved April 30, 2021 https://doi.org/https://papers.ssrn.com/abstract=3737689.
   Google Scholar