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Volatility patterns of the constituents of FTSE100 in the aftermath of the U.K. Brexit referendum

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  • Ben Sita, Bernard

Abstract

I investigate how sentiment contributed to the build-up of volatility of the constituents of the FTSE100 in the aftermath of the ”yes” to the UK Brexit referendum of Thursday June 23, 2016. Sentiment is estimated as the sensitivity of stock volatility to market and exchange rate volatility, respectively. Under the hypothesis that rational investors would become either sentimentalists or fundamentalists on a day of extreme, a U-shaped pattern will result. I document a damped U-shaped pattern that describes the way rational investors moved to acquire high trading stocks and to float low trading stocks.

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  • Ben Sita, Bernard, 2017. "Volatility patterns of the constituents of FTSE100 in the aftermath of the U.K. Brexit referendum," Finance Research Letters, Elsevier, vol. 23(C), pages 137-146.
    • Handle: RePEc:eee:finlet:v:23:y:2017:i:c:p:137-146
    DOI: 10.1016/j.frl.2017.02.011
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    1. A. Abhyankar & D. Ghosh & E. Levin & R.J. Limmack, 1997. "Bid‐ask Spreads, Trading Volume and Volatility: Intra‐day Evidence from the London Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 24(3), pages 343-362, April.
    2. Foster, F Douglas & Viswanathan, S, 1990. "A Theory of the Interday Variations in Volume, Variance, and Trading Costs in Securities Markets," The Review of Financial Studies, Society for Financial Studies, vol. 3(4), pages 593-624.
    3. Garman, Mark B & Klass, Michael J, 1980. "On the Estimation of Security Price Volatilities from Historical Data," The Journal of Business, University of Chicago Press, vol. 53(1), pages 67-78, January.
    4. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    5. McInish, Thomas H & Wood, Robert A, 1992. "An Analysis of Intraday Patterns in Bid/Ask Spreads for NYSE Stocks," Journal of Finance, American Finance Association, vol. 47(2), pages 753-764, June.
    6. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    7. Lee, Charles M C & Shleifer, Andrei & Thaler, Richard H, 1991. "Investor Sentiment and the Closed-End Fund Puzzle," Journal of Finance, American Finance Association, vol. 46(1), pages 75-109, March.
    8. Werner, Ingrid M & Kleidon, Allan W, 1996. "U.K. and U.S. Trading of British Cross-Listed Stocks: An Intraday Analysis of Market Integration," The Review of Financial Studies, Society for Financial Studies, vol. 9(2), pages 619-664.
    9. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    10. Bullard, James & Duffy, John, 2001. "Learning And Excess Volatility," Macroeconomic Dynamics, Cambridge University Press, vol. 5(02), pages 272-302, April.
    11. Monique Ebell & James Warren, 2016. "The Long-Term Economic Impact of Leaving the EU," National Institute Economic Review, National Institute of Economic and Social Research, vol. 236(1), pages 121-138, May.
    12. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    13. Sassan Alizadeh & Michael W. Brandt & Francis X. Diebold, 2002. "Range‐Based Estimation of Stochastic Volatility Models," Journal of Finance, American Finance Association, vol. 57(3), pages 1047-1091, June.
    14. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    15. Black, Fischer, 1986. "Noise," Journal of Finance, American Finance Association, vol. 41(3), pages 529-543, July.
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    Cited by:

    1. Nikola Gradojevic, 2021. "Brexit and foreign exchange market expectations: Could it have been predicted?," Annals of Operations Research, Springer, vol. 297(1), pages 167-189, February.
    2. Pedro L. Angosto‐Fernández & Victoria Ferrández‐Serrano, 2022. "Independence day: Political risk and cross‐sectional determinants of firm exposure after the Catalan crisis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4318-4335, October.
    3. Abuzayed, Bana & Al-Fayoumi, Nedal & Bouri, Elie, 2022. "Hedging UK stock portfolios with gold and oil: The impact of Brexit," Resources Policy, Elsevier, vol. 75(C).
    4. Ekinci, Cumhur & Akyildirim, Erdinc & Corbet, Shaen, 2019. "Analysing the dynamic influence of US macroeconomic news releases on Turkish stock markets," Finance Research Letters, Elsevier, vol. 31(C), pages 155-164.
    5. Yao, Hongxing & Memon, Bilal Ahmed, 2019. "Network topology of FTSE 100 Index companies: From the perspective of Brexit," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1248-1262.

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    More about this item

    Keywords

    Volatility; Investors’ sentiment; Brexit; U-Shaped pattern;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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