IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v50y2018i34-35p3752-3770.html
   My bibliography  Save this article

Policy uncertainty and international financial markets: the case of Brexit

Author

Listed:
  • Ansgar Belke
  • Irina Dubova
  • Thomas Osowski

Abstract

This study assesses the impact of the Brexit probability on both the UK and on international financial markets, for the first and the second statistical moments. As financial markets are by nature highly interlinked, one might expect that the uncertainty engendered by Brexit also has an impact on financial markets in several other countries. We first estimate the time-varying interactions between UK policy uncertainty, which to a large extent is attributed to uncertainty about Brexit and UK financial market volatilities. Second, we use two other measures of the perceived probability of Brexit before the referendum, namely daily data released by Betfair and results of polls published by Bloomberg. Based on these data sets, and using both panel and single-country SUR estimation methods, we analyse the Brexit effect on levels of stock returns, sovereign CDS, 10-year interest rates in 19 predominantly European countries, and those of the British pound and the euro. We show that Brexit-induced policy uncertainty will continue to cause instability in key financial markets and has the potential to damage the real economy in both the UK and other European countries. The main losers outside the UK are the ‘GIIPS’ economies: Greece, Ireland, Italy, Portugal and Spain.

Suggested Citation

  • Ansgar Belke & Irina Dubova & Thomas Osowski, 2018. "Policy uncertainty and international financial markets: the case of Brexit," Applied Economics, Taylor & Francis Journals, vol. 50(34-35), pages 3752-3770, July.
  • Handle: RePEc:taf:applec:v:50:y:2018:i:34-35:p:3752-3770
    DOI: 10.1080/00036846.2018.1436152
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2018.1436152
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036846.2018.1436152?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Swati Dhingra & Gianmarco I. P. Ottaviano & Thomas Sampson, 2015. "Should We Stay or Should We Go? The economic consequences of leaving the EU," CEP Election Analysis Papers 022, Centre for Economic Performance, LSE.
    2. Christian M. Hafner & Helmut Herwartz, 2008. "Testing for Causality in Variance Usinf Multivariate GARCH Models," Annals of Economics and Statistics, GENES, issue 89, pages 215-241.
    3. Ansgar Belke & Daniel Gros, 2002. "Designing EU–US Atlantic Monetary Relations: Exchange Rate Variability and Labour Markets," The World Economy, Wiley Blackwell, vol. 25(6), pages 789-813, June.
    4. Campos, Nauro F. & Coricelli, Fabrizio & Moretti, Luigi, 2014. "Economic Growth and Political Integration: Estimating the Benefits from Membership in the European Union Using the Synthetic Counterfactuals Method," IZA Discussion Papers 8162, Institute of Labor Economics (IZA).
    5. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    6. Arnorsson, Agust & Zoega, Gylfi, 2018. "On the causes of Brexit," European Journal of Political Economy, Elsevier, vol. 55(C), pages 301-323.
    7. Myron J. Gordon & Eli Shapiro, 1956. "Capital Equipment Analysis: The Required Rate of Profit," Management Science, INFORMS, vol. 3(1), pages 102-110, October.
    8. Cheung, Yin-Wong & Ng, Lilian K., 1996. "A causality-in-variance test and its application to financial market prices," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 33-48.
    9. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    10. Crafts, Nicholas, 2016. "The Growth Effects of EU Membership for the UK: a Review of the Evidence," CAGE Online Working Paper Series 280, Competitive Advantage in the Global Economy (CAGE).
    11. Randolph Bruno & Nauro Campos & Saul Estrin & Meng Tian, 2016. "Foreign direct investment and the relationship between the United Kingdom and the European Union," CEP Discussion Papers dp1453, Centre for Economic Performance, LSE.
    12. Stefano d'Addona & Ilaria Musumeci, 2013. "The British opt-out from the European Monetary Union: empirical evidence from monetary policy rules," Applied Financial Economics, Taylor & Francis Journals, vol. 23(23), pages 1783-1795, December.
    13. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    14. Hafner, Christian M. & Herwartz, Helmut, 2006. "Volatility impulse responses for multivariate GARCH models: An exchange rate illustration," Journal of International Money and Finance, Elsevier, vol. 25(5), pages 719-740, August.
    15. Krause, Thomas & Noth, Felix & Tonzer, Lena, 2016. "Brexit (probability) and effects on financial market stability," IWH Online 5/2016, Halle Institute for Economic Research (IWH).
    16. Raddant, Matthias, 2016. "The response of European stock markets to the Brexit," Kiel Policy Brief 100, Kiel Institute for the World Economy (IfW Kiel).
    17. 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.
    18. Coricelli, Fabrizio & Campos, Nauro & Moretti, Luigi, 2014. "Economic Growth and Political Integration: Estimating the Benefits from Membership in the European Union Using the Synthetic Co," CEPR Discussion Papers 9968, C.E.P.R. Discussion Papers.
    19. Hafner, Christian M. & Herwartz, Helmut, 2006. "A Lagrange multiplier test for causality in variance," Economics Letters, Elsevier, vol. 93(1), pages 137-141, October.
    20. Jean-Marc Fournier & Aurore Domps & Yaëlle Gorin & Xavier Guillet & Délia Morchoisne, 2015. "Implicit Regulatory Barriers in the EU Single Market: New Empirical Evidence from Gravity Models," OECD Economics Department Working Papers 1181, OECD Publishing.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. International Monetary Fund, 2016. "United Kingdom: Selected Issues," IMF Staff Country Reports 2016/169, International Monetary Fund.
    2. Costola, Michele & Lorusso, Marco, 2022. "Spillovers among energy commodities and the Russian stock market," Journal of Commodity Markets, Elsevier, vol. 28(C).
    3. Soylu, Pınar Kaya & Güloğlu, Bülent, 2019. "Financial contagion and flight to quality between emerging markets and U.S. bond market," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    4. Su, Xianfang, 2020. "Dynamic behaviors and contributing factors of volatility spillovers across G7 stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    5. Reboredo, Juan C., 2014. "Volatility spillovers between the oil market and the European Union carbon emission market," Economic Modelling, Elsevier, vol. 36(C), pages 229-234.
    6. Grosche, Stephanie & Heckelei, Thomas, 2014. "Directional Volatility Spillovers between Agricultural, Crude Oil, Real Estate and other Financial Markets," Discussion Papers 166079, University of Bonn, Institute for Food and Resource Economics.
    7. Geng, Jiang-Bo & Chen, Fu-Rui & Ji, Qiang & Liu, Bing-Yue, 2021. "Network connectedness between natural gas markets, uncertainty and stock markets," Energy Economics, Elsevier, vol. 95(C).
    8. Ken Coutts & Graham Gudgin & Jordan Buchanan, 2018. "How the Economics Profession Got It Wrong on Brexit," Working Papers wp493, Centre for Business Research, University of Cambridge.
    9. Yıldırım, Durmuş Çağrı & Esen, Ömer & Ertuğrul, Hasan Murat, 2022. "Impact of the COVID-19 pandemic on return and risk transmission between oil and precious metals: Evidence from DCC-GARCH model," Resources Policy, Elsevier, vol. 79(C).
    10. Chia-Lin Chang & Michael McAleer, 2017. "A Simple Test for Causality in Volatility," Econometrics, MDPI, vol. 5(1), pages 1-5, March.
    11. Gustavo Peralta, 2016. "The Nature of Volatility Spillovers across the International Capital Markets," CNMV Working Papers CNMV Working Papers no. 6, CNMV- Spanish Securities Markets Commission - Research and Statistics Department.
    12. Ben Cheikh, Nidhaleddine & Ben Naceur, Sami & Kanaan, Oussama & Rault, Christophe, 2021. "Investigating the asymmetric impact of oil prices on GCC stock markets," Economic Modelling, Elsevier, vol. 102(C).
    13. Francis X. Diebold & Kamil Yilmaz, 2016. "Trans-Atlantic Equity Volatility Connectedness: U.S. and European Financial Institutions, 2004–2014," Journal of Financial Econometrics, Oxford University Press, vol. 14(1), pages 81-127.
    14. Vincenzo Candila & Salvatore Farace, 2018. "On the Volatility Spillover between Agricultural Commodities and Latin American Stock Markets," Risks, MDPI, vol. 6(4), pages 1-16, October.
    15. Kang, Sanghoon & Hernandez, Jose Arreola & Sadorsky, Perry & McIver, Ronald, 2021. "Frequency spillovers, connectedness, and the hedging effectiveness of oil and gold for US sector ETFs," Energy Economics, Elsevier, vol. 99(C).
    16. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2017. "Oil shocks and stock markets: Dynamic connectedness under the prism of recent geopolitical and economic unrest," International Review of Financial Analysis, Elsevier, vol. 50(C), pages 1-26.
    17. Feng, Huiqun & Zhang, Jun & Guo, Na, 2023. "Time-varying linkages between energy and stock markets: Dynamic spillovers and driving factors," International Review of Financial Analysis, Elsevier, vol. 89(C).
    18. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Ozdemir, Huseyin & Aygun, Gurcan & Wohar, Mark E., 2021. "Effectives of Monetary Policy under the High and Low Economic Uncertainty States: Evidence from the Major Asian Economies," IZA Discussion Papers 14420, Institute of Labor Economics (IZA).
    19. Gabauer, David & Gupta, Rangan, 2018. "On the transmission mechanism of country-specific and international economic uncertainty spillovers: Evidence from a TVP-VAR connectedness decomposition approach," Economics Letters, Elsevier, vol. 171(C), pages 63-71.
    20. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," JRFM, MDPI, vol. 11(1), pages 1-29, March.

    More about this item

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:applec:v:50:y:2018:i:34-35:p:3752-3770. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.