IDEAS home Printed from https://ideas.repec.org/a/wly/econjl/v124y2014i575p62-91.html
   My bibliography  Save this article

Information and Efficiency: Goal Arrival in Soccer Betting

Author

Listed:
  • Karen Croxson
  • J. James Reade

Abstract

In an efficient market news is incorporated into prices rapidly and completely. Attempts to test for this in financial markets have been undermined by the possibility of information leakage unobserved by the econometrician. An alternative is to switch to laboratory conditions, at the price of some artificiality. Potentially, sports betting markets offer a superior way forward: assets have terminal values and news can break remarkably cleanly, as when a goal is scored in soccer. We exploit this context to test for efficiency, applying a novel identification strategy to high-frequency data. On our evidence, prices update swiftly and fully.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Karen Croxson & J. James Reade, 2014. "Information and Efficiency: Goal Arrival in Soccer Betting," Economic Journal, Royal Economic Society, vol. 124(575), pages 62-91, March.
  • Handle: RePEc:wly:econjl:v:124:y:2014:i:575:p:62-91
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/ecoj.2014.124.issue-575
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
    2. repec:reg:rpubli:259 is not listed on IDEAS
    3. Plott, Charles R & Sunder, Shyam, 1988. "Rational Expectations and the Aggregation of Diverse Information in Laboratory Security Markets," Econometrica, Econometric Society, vol. 56(5), pages 1085-1118, September.
    4. Beaver, Wh, 1968. "Information Content Of Annual Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 6, pages 67-92.
    5. Robert W. Hahn & Paul Tetlock, 2006. "Information Markets: A New Way of Making Decisions," Books, American Enterprise Institute, number 51409, September.
    6. John A. List, 2004. "Testing Neoclassical Competitive Theory in Multilateral Decentralized Markets," Journal of Political Economy, University of Chicago Press, vol. 112(5), pages 1131-1156, October.
    7. Justin Wolfers & Eric Zitzewitz, 2004. "Prediction Markets," Journal of Economic Perspectives, American Economic Association, vol. 18(2), pages 107-126, Spring.
    8. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    9. Wolfers, Justin & Zitzewitz, Eric, 2006. "Interpreting Prediction Market Prices as Probabilities," IZA Discussion Papers 2092, Institute of Labor Economics (IZA).
    10. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    11. Ball, R & Brown, P, 1968. "Empirical Evaluation Of Accounting Income Numbers," Journal of Accounting Research, Wiley Blackwell, vol. 6(2), pages 159-178.
    12. Gray, Philip K & Gray, Stephen F, 1997. "Testing Market Efficiency: Evidence from the NFL Sports Betting Market," Journal of Finance, American Finance Association, vol. 52(4), pages 1725-1737, September.
    13. Carlos Santos & David Hendry & Soren Johansen, 2008. "Automatic selection of indicators in a fully saturated regression," Computational Statistics, Springer, vol. 23(2), pages 317-335, April.
    14. Jurgen A. Doornik & Henrik Hansen, 2008. "An Omnibus Test for Univariate and Multivariate Normality," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(s1), pages 927-939, December.
    15. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    16. Steven D. Levitt & John A. List, 2007. "What Do Laboratory Experiments Measuring Social Preferences Reveal About the Real World?," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 153-174, Spring.
    17. Jarrell, Gregg A & Poulsen, Annette B, 1989. "Stock Trading before the Announcement of Tender Offers: Insider Trading or Market Anticipation?," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 5(2), pages 225-248, Fall.
    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. Snowberg, Erik & Wolfers, Justin & Zitzewitz, Eric, 2013. "Prediction Markets for Economic Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 657-687, Elsevier.
    2. Paul J. Healy & Sera Linardi & J. Richard Lowery & John O. Ledyard, 2010. "Prediction Markets: Alternative Mechanisms for Complex Environments with Few Traders," Management Science, INFORMS, vol. 56(11), pages 1977-1996, November.
    3. Wolfers, Justin & Zitzewitz, Eric, 2006. "Prediction Markets in Theory and Practice," CEPR Discussion Papers 5578, C.E.P.R. Discussion Papers.
    4. Dai, Min & Jia, Yanwei & Kou, Steven, 2021. "The wisdom of the crowd and prediction markets," Journal of Econometrics, Elsevier, vol. 222(1), pages 561-578.
    5. Kabir, Rezaul & Vermaelen, Theo, 1996. "Insider trading restrictions and the stock market: Evidence from the Amsterdam Stock Exchange," European Economic Review, Elsevier, vol. 40(8), pages 1591-1603, November.
    6. Galimberti, Jaqueson Kingeski & Cupertino, César Medeiros, 2009. "Explaining earnings persistence: a threshold autoregressive panel unit root approach," MPRA Paper 14237, University Library of Munich, Germany.
    7. Wright, Calvin & Swidler, Steve, 2023. "Abnormal trading volume, news and market efficiency: Evidence from the Jamaica Stock Exchange," Research in International Business and Finance, Elsevier, vol. 64(C).
    8. Angelini, Giovanni & De Angelis, Luca & Singleton, Carl, 2022. "Informational efficiency and behaviour within in-play prediction markets," International Journal of Forecasting, Elsevier, vol. 38(1), pages 282-299.
    9. Fakhri J. Hasanov & Moayad H. Al Rasasi & Salah S. Alsayaary & Ziyadh Alfawzan, 2022. "Money demand under a fixed exchange rate regime: the case of Saudi Arabia," Journal of Applied Economics, Taylor & Francis Journals, vol. 25(1), pages 385-411, December.
    10. RYan Oprea & David Porter & Chris Hibbert & Robin Hanson & Dorina Tila, 2008. "Can Manipulators Mislead Prediction Market Observers?," Working Papers 08-01, Chapman University, Economic Science Institute.
    11. Edoardo Gaffeo, 2013. "Using information markets in grantmaking. An assessment of the issues involved and an application to Italian banking foundations," DEM Discussion Papers 2013/08, Department of Economics and Management.
    12. Choi, Darwin & Hui, Sam K., 2014. "The role of surprise: Understanding overreaction and underreaction to unanticipated events using in-play soccer betting market," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 614-629.
    13. Nicholas Seybert & Robert Bloomfield, 2009. "Contagion of Wishful Thinking in Markets," Management Science, INFORMS, vol. 55(5), pages 738-751, May.
    14. Dorina Tila & David Porter, 2008. "Group Prediction in Information Markets With and Without Trading Information and Price Manipulation Incentives," Working Papers 08-06, Chapman University, Economic Science Institute.
    15. Hu, Yuwei, 2012. "Growth of Asian Pension Assets: Implications for Financial and Capital Markets," ADBI Working Papers 360, Asian Development Bank Institute.
    16. Samuel M. Hartzmark & Kelly Shue, 2017. "A Tough Act to Follow: Contrast Effects In Financial Markets," NBER Working Papers 23883, National Bureau of Economic Research, Inc.
    17. Johan Almenberg & Ken Kittlitz & Thomas Pfeiffer, 2009. "An Experiment on Prediction Markets in Science," PLOS ONE, Public Library of Science, vol. 4(12), pages 1-7, December.
    18. Tideman, T. Nicolaus & Plassmann, Florenz, 2010. "Pricing externalities," European Journal of Political Economy, Elsevier, vol. 26(2), pages 176-184, June.
    19. Herwartz, Helmut & Reimers, Hans-Eggert, 2006. "Modelling the Fisher hypothesis: World wide evidence," Economics Working Papers 2006-04, Christian-Albrechts-University of Kiel, Department of Economics.
    20. Bilal Mehmood & Syed Hassan Raza & Mahwish Rana & Huma Sohaib & Muhammad Azhar Khan, 2014. "Triangular Relationship between Energy Consumption, Price Index and National Income in Asian Countries: A Pooled Mean Group Approach in Presence of Structural Breaks," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 610-620.

    More about this item

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • D0 - Microeconomics - - General
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics

    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:wly:econjl:v:124:y:2014:i:575:p:62-91. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/resssea.html .

    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.