Brexit and Global Implied Volatility Indices

  • Imlak ShaikhEmail author
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)


The study examines major implied volatility indices of Eurozone, Asia-Pacific, Africa, Canada and USA on the event of Brexit poll of UK. To investigate the fear and greed of investors’ on this historical event, we consider the window of 11-days. The findings suggest that investors’ degree of over-reaction on Brexit decision was very disappointing and fueled concerns on the future investment and portfolio choices. The key volatility indices were on the rise prior to the decision, while the market noticed astray and breached its normal range on the day of Brexit poll results. The results are consistent with the market efficiency, and options trading that contain enough information to explain future stock market volatility. Definitely, the work has practical implications to volatility traders and portfolio managers. This empirical attempt provides a good opportunity for researchers in financial economics to examine global linkages of financial markets, more specifically gives an insight how EU’s financial system and equity markets will perform in future. The Brexit events will change the way of risk management and assets management in the Europe and neighbor countries.


Abnormal returns Brexit Cumulative abnormal returns Implied volatility Stock returns Volatility index 

JEL Classification

G11 G14 G15 


  1. Äijö, J. (2008). Implied volatility term structure linkages between VDAX, VSMI and VSTOXX volatility indices. Global Finance Journal, 18(3), 290–302.CrossRefGoogle Scholar
  2. Antonakakis, N., Chatziantoniou, I., & Filis, G. (2013). Dynamic co-movements of stock market returns, implied volatility and policy uncertainty. Economics Letters, 120(1), 87–92.CrossRefGoogle Scholar
  3. Blair, B. J., Poon, S.-H., & Taylor, S. J. (2001). Forecasting S&P 100 volatility: The incremental information content of implied volatilities and high-frequency index returns. Journal of Econometrics, 105(1), 5–26.CrossRefGoogle Scholar
  4. Chen, E.-T. J., & Clements, A. (2007). S&P 500 implied volatility and monetary policy announcements. Finance Research Letters, 4(4), 227–232.CrossRefGoogle Scholar
  5. Christensen, B., & Prabhala, N. (1998). The relation between implied and realized volatility. Journal of Financial Economics, 50(2), 125–150.CrossRefGoogle Scholar
  6. Fleming, J., Ostdiek, B., & Whaley, R. E. (1995). Predicting stock market volatility: A new measure. Journal of Futures Markets, 15(3), 265–302.CrossRefGoogle Scholar
  7. Giot, P. (2005). Relationships between implied volatility indexes and stock index returns. The Journal of Portfolio Management, 31(3), 92–100.CrossRefGoogle Scholar
  8. Hamao, Y., Masulis, R. W., & Ng, V. (1990). Correlations in price changes and volatility across international stock markets. Review of Financial Studies, 3(2), 281–307.CrossRefGoogle Scholar
  9. Hansen, C. S. (2001). The relation between implied and realized volatility in the Danish option and equity markets. Accounting and Finance, 41(3), 197–228.CrossRefGoogle Scholar
  10. Kearney, A., & Lombra, R. (2004). Stock market volatility, the news, and monetary policy. Journal of Economics and Finance, 28(9), 252–259.CrossRefGoogle Scholar
  11. Nikkinen, J., & Sahlström, P. (2001). Impact of scheduled U.S. macroeconomic news on stock market uncertainty: A multinational perspecive. Multinational Finance Journal, 5(2), 129–148.CrossRefGoogle Scholar
  12. Nikkinen, J., & Sahlström, P. (2004). Impact of the federal open market committee’s meetings and scheduled macroeconomic news on stock market uncertainty. International Review of Financial Analysis, 13(1), 1–12. Scholar
  13. Padhi, P., & Shaikh, I. (2014). On the relationship of implied, realized and historical volatility: Evidence from NSE equity index options. Journal of Business Economics and Management, 15(5), 915–934.CrossRefGoogle Scholar
  14. Shaikh, I. (2017). The 2016 US presidential election and the stock, FX and VIX markets. The North American Journal of Economics and Finance, 42, 546–563.CrossRefGoogle Scholar
  15. Shaikh, I. (2018). Investors’ fear and stock returns: Evidence from National Stock Exchange of India. Engineering Economics, 29(1), 4–12.CrossRefGoogle Scholar
  16. Shaikh, I., & Padhi, P. (2014). The forecasting performance of implied volatility index: Evidence from India VIX. Economic Change and Restructuring, 47(4), 251–274.CrossRefGoogle Scholar
  17. Shaikh, I., & Padhi, P. (2016). On the relationship between implied volatility index and equity index returns. Journal of Economic Studies, 43(1), 27–47.CrossRefGoogle Scholar
  18. Wagner, N., & Szimayer, A. (2004). Local and spillover shocks in implied market volatility: Evidence for the US and Germany. Research in international Business and Finance, 18(3), 237–251.CrossRefGoogle Scholar
  19. Whaley, R. E. (2000). The investor fear gauge. The Journal of Portfolio Management, 26(3), 12–17.CrossRefGoogle Scholar
  20. Whaley, R. E. (2008). Understanding VIX. Available at SSRN 1296743., 1–12.

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Management Development InstituteGurgaonIndia

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