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Bubbles, Blind-Spots and Brexit

Author

Listed:
  • John Fry

    (School of Computing Mathematics and Digital Technology, Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, UK)

  • Andrew Brint

    (Sheffield University Management School, Conduit Road, Sheffield S10 1FL, UK)

Abstract

In this paper we develop a well-established financial model to investigate whether bubbles were present in opinion polls and betting markets prior to the UK’s vote on EU membership on 23 June 2016. The importance of our contribution is threefold. Firstly, our continuous-time model allows for irregularly spaced time series—a common feature of polling data. Secondly, we build on qualitative comparisons that are often made between market cycles and voting patterns. Thirdly, our approach is theoretically elegant. Thus, where bubbles are found we suggest a suitable adjustment. We find evidence of bubbles in polling data. This suggests they systematically over-estimate the proportion voting for remain. In contrast, bookmakers’ odds appear to show none of this bubble-like over-confidence. However, implied probabilities from bookmakers’ odds appear remarkably unresponsive to polling data that nonetheless indicates a close-fought vote.

Suggested Citation

  • John Fry & Andrew Brint, 2017. "Bubbles, Blind-Spots and Brexit," Risks, MDPI, vol. 5(3), pages 1-15, July.
    • Handle: RePEc:gam:jrisks:v:5:y:2017:i:3:p:37-:d:105098
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    References listed on IDEAS

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    1. Michael C. Herron & James Lavin & Donald Cram & Jay Silver, 1999. "Measurement of Political Effects in the United States Economy: A Study of the 1992 Presidential Election," Economics and Politics, Wiley Blackwell, vol. 11(1), pages 51-81, March.
    2. Andrew Leigh & Justin Wolfers, 2006. "Competing Approaches to Forecasting Elections: Economic Models, Opinion Polling and Prediction Markets," The Economic Record, The Economic Society of Australia, vol. 82(258), pages 325-340, September.
    3. Ulrike Malmendier & Geoffrey Tate, 2005. "CEO Overconfidence and Corporate Investment," Journal of Finance, American Finance Association, vol. 60(6), pages 2661-2700, December.
    4. Charles P. Kindleberger & Robert Z. Aliber, 2005. "Manias, Panics and Crashes," Palgrave Macmillan Books, Palgrave Macmillan, edition 0, number 978-0-230-62804-5, October.
    5. Olivier J. Blanchard & Mark W. Watson, 1982. "Bubbles, Rational Expectations and Financial Markets," NBER Working Papers 0945, National Bureau of Economic Research, Inc.
    6. Leighton Vaughan Williams & J. James Reade, 2016. "Forecasting Elections," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(4), pages 308-328, July.
    7. Alberto Alesina & Nouriel Roubini, 1992. "Political Cycles in OECD Economies," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 59(4), pages 663-688.
    8. Kou, S. G. & Sobel, Michael E., 2004. "Forecasting the Vote: A Theoretical Comparison of Election Markets and Public Opinion Polls," Political Analysis, Cambridge University Press, vol. 12(3), pages 277-295, July.
    9. Harras, Georges & Sornette, Didier, 2011. "How to grow a bubble: A model of myopic adapting agents," Journal of Economic Behavior & Organization, Elsevier, vol. 80(1), pages 137-152.
    10. Robert R. Prechter Jr. & Deepak Goel & Wayne D. Parker & Matthew Lampert, 2012. "Social Mood, Stock Market Performance, and U.S. Presidential Elections," SAGE Open, , vol. 2(4), pages 21582440124, November.
    11. Hüsler, A. & Sornette, D. & Hommes, C.H., 2013. "Super-exponential bubbles in lab experiments: Evidence for anchoring over-optimistic expectations on price," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 304-316.
    12. Diba, Behzad T & Grossman, Herschel I, 1988. "Explosive Rational Bubbles in Stock Prices?," American Economic Review, American Economic Association, vol. 78(3), pages 520-530, June.
    13. Anders Johansen & Olivier Ledoit & Didier Sornette, 2000. "Crashes As Critical Points," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 3(02), pages 219-255.
    14. Little, Roderick J A, 1988. "Missing-Data Adjustments in Large Surveys," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 287-296, July.
    15. Zhou, Wei-Xing & Sornette, Didier, 2006. "Is there a real-estate bubble in the US?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 361(1), pages 297-308.
    16. Evans, George W, 1991. "Pitfalls in Testing for Explosive Bubbles in Asset Prices," American Economic Review, American Economic Association, vol. 81(4), pages 922-930, September.
    17. Cheah, Eng-Tuck & Fry, John, 2015. "Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin," Economics Letters, Elsevier, vol. 130(C), pages 32-36.
    18. Summers, Lawrence H, 1986. "Does the Stock Market Rationally Reflect Fundamental Values?," Journal of Finance, American Finance Association, vol. 41(3), pages 591-601, July.
    19. Christian Hott & Pierre Monnin, 2008. "Fundamental Real Estate Prices: An Empirical Estimation with International Data," The Journal of Real Estate Finance and Economics, Springer, vol. 36(4), pages 427-450, May.
    20. J.M. Fry, 2012. "Exogenous and endogenous market crashes as phase transitions in complex financial systems," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 85(12), pages 1-6, December.
    21. Hoffmann, Mathias & Krause, Michael U. & Laubach, Thomas, 2012. "Trend growth expectations and U.S. house prices before and after the crisis," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 394-409.
    22. Fry, John, 2012. "Exogenous and endogenous crashes as phase transitions in complex financial systems," MPRA Paper 36202, University Library of Munich, Germany.
    23. John Fry & McMillan David, 2015. "Stochastic modelling for financial bubbles and policy," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1002152-100, December.
    24. Vaughan Williams, Leighton, 1999. "Information Efficiency in Betting Markets: A Survey," Bulletin of Economic Research, Wiley Blackwell, vol. 51(1), pages 1-30, January.
    25. Patric H. Hendershott & Robert J. Hendershott & Charles R. W. Ward, 2003. "Corporate Equity and Commercial Property Market 'Bubbles'," Urban Studies, Urban Studies Journal Limited, vol. 40(5-6), pages 993-1009, May.
    26. Yan, Wanfeng & Woodard, Ryan & Sornette, Didier, 2012. "Diagnosis and prediction of rebounds in financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1361-1380.
    27. Shin, Hyun Song, 1993. "Measuring the Incidence of Insider Trading in a Market for State-Contingent Claims," Economic Journal, Royal Economic Society, vol. 103(420), pages 1141-1153, September.
    28. Little, Roderick J A, 1988. "Missing-Data Adjustments in Large Surveys: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 300-301, July.
    29. Oehler, Andreas & Horn, Matthias & Wendt, Stefan, 2017. "Brexit: Short-term stock price effects and the impact of firm-level internationalization," Finance Research Letters, Elsevier, vol. 22(C), pages 175-181.
    30. Fry, John & Cheah, Eng-Tuck, 2016. "Negative bubbles and shocks in cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 343-352.
    31. repec:bla:jfinan:v:43:y:1988:i:4:p:995-1008 is not listed on IDEAS
    32. Iain J. Clark & Saeed Amen, 2017. "Implied Distributions from GBPUSD Risk-Reversals and Implication for Brexit Scenarios," Risks, MDPI, vol. 5(3), pages 1-17, July.
    33. Berg, Joyce E. & Nelson, Forrest D. & Rietz, Thomas A., 2008. "Prediction market accuracy in the long run," International Journal of Forecasting, Elsevier, vol. 24(2), pages 285-300.
    34. Paul W. Rhode & Koleman S. Strumpf, 2004. "Historical Presidential Betting Markets," Journal of Economic Perspectives, American Economic Association, vol. 18(2), pages 127-141, Spring.
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    2. Douch, Mustaph & Huw Edwards, T., 2021. "The Brexit policy shock: Were UK services exports affected, and when?," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 248-263.

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