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Market Efficiency in Person-to-Person Betting

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Author Info

  • MICHAEL A. SMITH
  • DAVID PATON
  • LEIGHTON VAUGHAN WILLIAMS

Abstract

Bookmakers have argued that person-to-person internet 'betting exchanges' represent unfair competition. In this paper we suggest that, in fact, betting exchanges have brought about significant efficiency gains by lowering transaction costs for consumers. We test this hypothesis using matched data on UK horse racing from betting exchanges and from traditional betting media. In comparison with traditional betting media, we find that betting exchanges exhibit evidence of significantly lower market biases. We also find that an information-based model explains the well documented favourite-longshot bias more convincingly than traditional explanations based on risk preferences. Copyright (c) The London School of Economics and Political Science 2006.

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Bibliographic Info

Article provided by London School of Economics and Political Science in its journal Economica.

Volume (Year): 73 (2006)
Issue (Month): 292 (November)
Pages: 673-689

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Handle: RePEc:bla:econom:v:73:y:2006:i:292:p:673-689

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Cited by:
  1. Stefan Winter & Martin Kukuk, 2008. "Do horses like vodka and sponging? - On market manipulation and the favourite-longshot bias," Applied Economics, Taylor & Francis Journals, vol. 40(1), pages 75-87.
  2. Karen Croxson & J. James Reade, 2011. "Exchange vs Dealers: A High-Frequency Analysis of In-Play Betting Prices," Discussion Papers 11-19, Department of Economics, University of Birmingham.
  3. Egon Franck & Erwin Verbeek & Stephan Nüesch, 2008. "Prediction Accuracy of Different Market Structures – Bookmakers versus a Betting Exchange," Working Papers 0096, University of Zurich, Institute for Strategy and Business Economics (ISU), revised 2009.
  4. Marshall, Ben R., 2009. "How quickly is temporary market inefficiency removed?," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 917-930, August.
  5. Martin Kukuk & Stefan Winter, 2008. "An Alternative Explanation of the Favorite-Longshot Bias," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 2(2), pages 79-96, September.
  6. Smith, Michael A. & Paton, David & Williams, Leighton Vaughan, 2009. "Do bookmakers possess superior skills to bettors in predicting outcomes?," Journal of Economic Behavior & Organization, Elsevier, vol. 71(2), pages 539-549, August.
  7. Loreto Llorente, 2006. "A Profitable Strategy in the Pelota Betting Market," Documentos de Trabajo - Lan Gaiak Departamento de Economía - Universidad Pública de Navarra 0606, Departamento de Economía - Universidad Pública de Navarra.
  8. Smith, Michael A. & Vaughan Williams, Leighton, 2010. "Forecasting horse race outcomes: New evidence on odds bias in UK betting markets," International Journal of Forecasting, Elsevier, vol. 26(3), pages 543-550, July.
  9. Nikolaos Vlastakis & George Dotsis & Raphael N. Markellos, 2009. "How efficient is the European football betting market? Evidence from arbitrage and trading strategies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(5), pages 426-444.
  10. John Peirson, 2008. "Expert Analysis and Insider Information in Horse Race Betting: Regulating Informed Market Behaviour," Studies in Economics 0819, Department of Economics, University of Kent.
  11. Raphael Flepp & Stephan Nüesch & Egon Franck, 2013. " The Liquidity Advantage of Quote-driven Markets: Evidence from the Betting Industry," Working Papers 342, University of Zurich, Department of Business Administration (IBW).
  12. Page, Lionel, 2009. "Is there an optimistic bias on betting markets?," Economics Letters, Elsevier, vol. 102(2), pages 70-72, February.

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