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The impact of the Brexit vote on UK financial markets: a synthetic control method approach

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  • Matej Opatrny

    (Charles University)

Abstract

We estimate how the UK financial markets would have evolved if the Remain camp had won the referendum. To construct the counterfactual, we use the synthetic control method. Our results suggest that there would not have been any significant change in the development of the FTSE 100 Index in the medium to long term if there had not been a referendum. On the other hand, we find a significantly negative effect of 1.2 percentage points on the 10-year bond yield. Given the geopolitical circumstances in mid 2016, financial agents investing in the pound could have sought safer investment options represented by longer-term government bonds, which consequently could result in lower bond yields.

Suggested Citation

  • Matej Opatrny, 2021. "The impact of the Brexit vote on UK financial markets: a synthetic control method approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(2), pages 559-587, May.
  • Handle: RePEc:kap:empiri:v:48:y:2021:i:2:d:10.1007_s10663-020-09481-7
    DOI: 10.1007/s10663-020-09481-7
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    1. Laurent Gobillon & Thierry Magnac, 2016. "Regional Policy Evaluation: Interactive Fixed Effects and Synthetic Controls," The Review of Economics and Statistics, MIT Press, vol. 98(3), pages 535-551, July.
    2. Nicholas Bloom & Philip Bunn & Scarlet Chen & Paul Mizen & Pawel Smietanka & Gregory Thwaites, 2019. "The Impact of Brexit on UK Firms," NBER Working Papers 26218, National Bureau of Economic Research, Inc.
    3. Nicole Aregger & Jessica Leutert, 2017. "Policy Evaluation by the Synthetic Control Approach: The Case of the Swiss Franc," Working Papers 17.02, Swiss National Bank, Study Center Gerzensee.
    4. Matej Opatrny, 2017. "Quantifying the Effects of the CNB's Exchange Rate Commitment: A Synthetic Control Method Approach," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 67(6), pages 539-577, October.
    5. Benjamin Born & Gernot J Müller & Moritz Schularick & Petr Sedláček, 2019. "The Costs of Economic Nationalism: Evidence from the Brexit Experiment," The Economic Journal, Royal Economic Society, vol. 129(623), pages 2722-2744.
    6. Alberto Abadie & Alexis Diamond & Jens Hainmueller, 2015. "Comparative Politics and the Synthetic Control Method," American Journal of Political Science, John Wiley & Sons, vol. 59(2), pages 495-510, February.
    7. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    8. Davies, Ronald B. & Studnicka, Zuzanna, 2018. "The heterogeneous impact of Brexit: Early indications from the FTSE," European Economic Review, Elsevier, vol. 110(C), pages 1-17.
    9. Jinjarak, Yothin & Noy, Ilan & Zheng, Huanhuan, 2013. "Capital controls in Brazil – Stemming a tide with a signal?," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 2938-2952.
    10. Ando, Michihito, 2015. "Dreams of urbanization: Quantitative case studies on the local impacts of nuclear power facilities using the synthetic control method," Journal of Urban Economics, Elsevier, vol. 85(C), pages 68-85.
    11. Garcia, René & Tsafack, Georges, 2011. "Dependence structure and extreme comovements in international equity and bond markets," Journal of Banking & Finance, Elsevier, vol. 35(8), pages 1954-1970, August.
    12. repec:oup:econjl:v:129:y:2019:i:10:p:2722-2744. is not listed on IDEAS
    13. Andreas Billmeier & Tommaso Nannicini, 2013. "Assessing Economic Liberalization Episodes: A Synthetic Control Approach," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 983-1001, July.
    14. Eduardo Cavallo & Sebastian Galiani & Ilan Noy & Juan Pantano, 2013. "Catastrophic Natural Disasters and Economic Growth," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1549-1561, December.
    15. Noémi Kreif & Richard Grieve & Dominik Hangartner & Alex James Turner & Silviya Nikolova & Matt Sutton, 2016. "Examination of the Synthetic Control Method for Evaluating Health Policies with Multiple Treated Units," Health Economics, John Wiley & Sons, Ltd., vol. 25(12), pages 1514-1528, December.
    16. Jan Bruha & Jaromir Tonner, 2018. "An Exchange Rate Floor as an Instrument of Monetary Policy: An Ex-Post Assessment of the Czech Experience," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 68(6), pages 537-549, December.
    17. Baur, Dirk G. & Lucey, Brian M., 2009. "Flights and contagion--An empirical analysis of stock-bond correlations," Journal of Financial Stability, Elsevier, vol. 5(4), pages 339-352, December.
    18. Marcos Sanso‐Navarro, 2011. "The Effects on American Foreign Direct Investment in the United Kingdom from Not Adopting the Euro," Journal of Common Market Studies, Wiley Blackwell, vol. 49(2), pages 463-483, March.
    19. Henrik Jacobsen Kleven & Camille Landais & Emmanuel Saez, 2013. "Taxation and International Migration of Superstars: Evidence from the European Football Market," American Economic Review, American Economic Association, vol. 103(5), pages 1892-1924, August.
    20. Manning, Matthew, 2016. "Markets and operations," Bank of England Quarterly Bulletin, Bank of England, vol. 56(2), pages 102-110.
    21. Michael A. S. Joyce & Ana Lasaosa & Ibrahim Stevens & Matthew Tong, 2011. "The Financial Market Impact of Quantitative Easing in the United Kingdom," International Journal of Central Banking, International Journal of Central Banking, vol. 7(3), pages 113-161, September.
    22. Amr Hosny, 2012. "Algeria’s Trade with GAFTA Countries: A Synthetic Control Approach," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 19(1), pages 35-42, September.
    23. Acemoglu, Daron & Johnson, Simon & Kermani, Amir & Kwak, James & Mitton, Todd, 2016. "The value of connections in turbulent times: Evidence from the United States," Journal of Financial Economics, Elsevier, vol. 121(2), pages 368-391.
    24. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2011. "Synth: An R Package for Synthetic Control Methods in Comparative Case Studies," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i13).
    25. Manning, Matthew, 2016. "Markets and operations: 2016 Q3," Bank of England Quarterly Bulletin, Bank of England, vol. 56(3), pages 146-154.
    26. Firpo Sergio & Possebom Vitor, 2018. "Synthetic Control Method: Inference, Sensitivity Analysis and Confidence Sets," Journal of Causal Inference, De Gruyter, vol. 6(2), pages 1-26, September.
    27. Ciner, Cetin & Gurdgiev, Constantin & Lucey, Brian M., 2013. "Hedges and safe havens: An examination of stocks, bonds, gold, oil and exchange rates," International Review of Financial Analysis, Elsevier, vol. 29(C), pages 202-211.
    28. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    29. Vikash Ramiah & Huy N. A. Pham & Imad Moosa, 2017. "The sectoral effects of Brexit on the British economy: early evidence from the reaction of the stock market," Applied Economics, Taylor & Francis Journals, vol. 49(26), pages 2508-2514, June.
    30. King, Gary & Zeng, Langche, 2006. "The Dangers of Extreme Counterfactuals," Political Analysis, Cambridge University Press, vol. 14(2), pages 131-159, April.
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    More about this item

    Keywords

    Brexit; Financial markets; Macroeconomic indicators; Synthetic control method;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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