Oil Prices and Stock Markets in Europe: Detection of Extreme Risk Spillover
The goal of this paper is to check existence of Granger causality in risk between eleven European stock markets and crude oil market. We analyze bidirectional instantaneous and delayed Granger causality in tails test results, i.e. whether occurrence of the extreme returns on the crude oil market precede similar events on the main European stock markets and vice versa. Using Brent futures prices and main stock indices in Europe (Belgium, France, Germany, Greece, Italy, Netherlands, Norway, Poland, Spain, Sweden and United Kingdom), we apply testing procedure developed by Candelon and Tokpavi (2016). The main conclusion is that in the vast majority of cases instantaneous causality in tails was symmetrical. We also found that more long-lived reaction appeared as a result to the negative news from the oil market and from the stock markets.
Arouri, M. (2011). Does Crude Oil Move Stock Markets in Europe? A Sector Investigation. Economic Modelling, vol. 28, pp. 1716–1725. https://doi.org/10.1016/j.econmod.2011.02.039
Arouri, M. et al. (2012). On the Impacts of Oil Price Fluctuations on European Equity Markets: Volatility Spillover and Hedging Effectiveness. Energy Economics, vol. 34, pp. 611-617. https://doi.org/10.1016/j.eneco.2011.08.009
BP (2018). BP Statistical Review of World Energy. Retrieved from https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energy-economics/statistical-review/bp-stats-review-2018-full-report.pdf.
Candelon, B. and Tokpavi, S. (2016). A Nonparametric Test for Granger Causality in Distribution With Application to Financial Contagion. Journal of Business and Economic Statistics, 34(2), pp. 240-253. https://doi.org/10.1080/07350015.2015.1026774
Cheung, Y.W. and Ng, L.K. (1996). A Causality-in-Variance Test and its Application to Financial Market Prices. Journal of Econometrics, vol. 72, pp. 33-48. https://doi.org/10.1016/0304-4076(94)01714-X
Hong, Y. (2001). A Test for Volatility Spillover with Application to Exchange Rates. Journal of Econometrics, vol. 103, pp. 183-224. https://doi.org/10.1016/S0304-4076(01)00043-4
Hong, Y. et al. (2009). Granger Causality in Risk and Detection of Extreme Risk Spillover between Financial Markets. Journal of Econometrics, vol. 150, pp. 271–287. https://doi.org/10.1016/j.jeconom.2008.12.013
Park, J. and Ratti, R.A. (2008). Oil Price Shocks and Stock Markets in the U.S. and 13 European Countries. Energy Economics, vol. 30, pp. 2587–2608. https://doi.org/10.1016/j.eneco.2008.04.003
Reyes, T. (2019). Negativity Bias in Attention Allocation: Retail Investors’ Reaction to Stock Returns. International Review of Finance, vol. 19, pp. 155-189. https://doi.org/10.1111/irfi.12180
Śmiech, S. and Papież, M. (2013). Fossil Fuel Prices, Exchange Rate, Stock Market: A Dynamic Causality Analysis on the European Market. Economics Letters, vol. 118, pp. 199–202. https://doi.org/10.1016/j.econlet.2012.10.010
Wanat, S. et al. (2015). Causality in Distribution between European Stock Markets and Commodity Prices: Using Independence Test Based on the Empirical Copula. In: Jajuga, K. and Ronka-Chmielowiec, W. (eds), Financial Investments and Insurance – Global Trends and the Polish Market. Research Papers of Wrocław University of Economics, vol. 381, pp. 439-454. https://doi.org/10.15611/pn.2015.381.32
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