IDEAS home Printed from https://ideas.repec.org/a/wsi/qjfxxx/v02y2012i03ns2010139212500139.html
   My bibliography  Save this article

Efficiency and the Disposition Effect in NFL Prediction Markets

Author

Listed:
  • Samuel M. Hartzmark

    (University of Southern California Marshall School of Business, 3670 Trousdale Parkway, Los Angeles, CA, 90089, USA)

  • David H. Solomon

    (University of Southern California Marshall School of Business, 3670 Trousdale Parkway, Los Angeles, CA, 90089, USA)

Abstract

Examining NFL betting contracts at Tradesports.com, we find mispricing consistent with the disposition effect, where investors are more likely to close out profitable positions than losing positions. Prices are too low when teams are ahead and too high when teams are behind. Returns following news events exhibit short-term reversals and longer-term momentum. These results do not appear driven by liquidity or non-financial reasons for trade. Finding the disposition effect in a negative expected return gambling market questions standard explanations for the effect (belief in mean reversion, prospect theory). It is consistent with cognitive dissonance, and models with time-inconsistent behavior.

Suggested Citation

  • Samuel M. Hartzmark & David H. Solomon, 2012. "Efficiency and the Disposition Effect in NFL Prediction Markets," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 2(03), pages 1-42.
  • Handle: RePEc:wsi:qjfxxx:v:02:y:2012:i:03:n:s2010139212500139
    DOI: 10.1142/S2010139212500139
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S2010139212500139
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S2010139212500139?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Zuchel, Heiko, 2001. "What Drives the Disposition Effect?," Sonderforschungsbereich 504 Publications 01-39, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    2. 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.
    3. Wolfers, Justin & Zitzewitz, Eric, 2006. "Interpreting Prediction Market Prices as Probabilities," IZA Discussion Papers 2092, Institute of Labor Economics (IZA).
    4. Leigh, Andrew & Wolfers, Justin & Zitzewitz, Eric, 2003. "What do Financial Markets Think of War in Iraq?," Research Papers 1785, Stanford University, Graduate School of Business.
    5. Marco Ottaviani & Peter Norman Sørensen, 2009. "Aggregation of Information and Beliefs: Asset Pricing Lessons from Prediction Markets," Discussion Papers 09-14, University of Copenhagen. Department of Economics.
    6. Zuchel, Heiko, 2001. "What drives the disposition effect?," Papers 01-39, Sonderforschungsbreich 504.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tobias Kranz & Florian Teschner & Christof Weinhardt, 2015. "Beware of Performance Indicators," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 57(6), pages 349-361, December.
    2. Bernard, Sabine & Loos, Benjamin & Weber, Martin, 2021. "The disposition effect in boom and bust markets," SAFE Working Paper Series 305, Leibniz Institute for Financial Research SAFE.
    3. Raphael Flepp & Stephan Nüesch & Egon Franck, 2013. "Liquidity, Market Efficiency and the Influence of Noise Traders: Quasi-Experimental Evidence from the Betting Industry," Working Papers 341, University of Zurich, Department of Business Administration (IBW).
    4. Steven Haryanto & Athor Subroto & Maria Ulpah, 2020. "Disposition effect and herding behavior in the cryptocurrency market," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(1), pages 115-132, March.
    5. Samuel M. Hartzmark & David H. Solomon, 2019. "The Dividend Disconnect," Journal of Finance, American Finance Association, vol. 74(5), pages 2153-2199, October.
    6. Li, Jianbiao & Niu, Xiaofei & Li, Dahui & Cao, Qian, 2018. "Using Non-Invasive Brain Stimulation to Test the Role of Self-Control in Investor Behavior," EconStor Preprints 177890, ZBW - Leibniz Information Centre for Economics.
    7. Alasdair Brown & Fuyu Yang, 2017. "Salience and the Disposition Effect: Evidence from the Introduction of “Cash‐Outs” in Betting Markets," Southern Economic Journal, John Wiley & Sons, vol. 83(4), pages 1052-1073, April.
    8. Marco Pleßner, 2017. "The disposition effect: a survey," Management Review Quarterly, Springer, vol. 67(1), pages 1-30, February.
    9. Weber, Martin & Mueller-Dethard, Jan, 2020. "The Portfolio Composition Effect," CEPR Discussion Papers 15012, C.E.P.R. Discussion Papers.
    10. Chen, Daniel L. & Loecher, Markus, 2016. "Mood and the Malleability of Moral Reasoning: The Impact of Irrelevant Factors on Judicial Decisions," IAST Working Papers 16-49, Institute for Advanced Study in Toulouse (IAST), revised Sep 2019.
    11. Chen, Daniel L., 2016. "Mood and the Malleability of Moral Reasoning," TSE Working Papers 16-707, Toulouse School of Economics (TSE), revised Feb 2017.

    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. Jakusch, Sven Thorsten, 2017. "On the applicability of maximum likelihood methods: From experimental to financial data," SAFE Working Paper Series 148, Leibniz Institute for Financial Research SAFE, revised 2017.
    2. Mark Richard & Jan Vecer, 2021. "Efficiency Testing of Prediction Markets: Martingale Approach, Likelihood Ratio and Bayes Factor Analysis," Risks, MDPI, vol. 9(2), pages 1-20, February.
    3. 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.
    4. Jakusch, Sven Thorsten & Meyer, Steffen & Hackethal, Andreas, 2019. "Taming models of prospect theory in the wild? Estimation of Vlcek and Hens (2011)," SAFE Working Paper Series 146, Leibniz Institute for Financial Research SAFE, revised 2019.
    5. Stefan Palan & Jürgen Huber & Larissa Senninger, 2020. "Aggregation mechanisms for crowd predictions," Experimental Economics, Springer;Economic Science Association, vol. 23(3), pages 788-814, September.
    6. Bizzozero, Paolo & Flepp, Raphael & Franck, Egon, 2016. "The importance of suspense and surprise in entertainment demand: Evidence from Wimbledon," Journal of Economic Behavior & Organization, Elsevier, vol. 130(C), pages 47-63.
    7. 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.
    8. Erik Snowberg & Justin Wolfers & Eric Zitzewitz, 2011. "How Prediction Markets can Save Event Studies," CAMA Working Papers 2011-07, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    9. Rieger, Marc O. & Wang, Mei & Phan, Thuy Chung & Gong, Yujing, 2022. "Trend following or reversal: Does culture affect predictions and trading behavior?," Global Finance Journal, Elsevier, vol. 54(C).
    10. Daniela Vesselinova Balkanska, 2018. "Disposition effect and analyst forecast dispersion," Review of Quantitative Finance and Accounting, Springer, vol. 50(3), pages 837-859, April.
    11. Justin Wolfers & Eric Zitzewitz, 2006. "Five Open Questions About Prediction Markets," NBER Working Papers 12060, National Bureau of Economic Research, Inc.
    12. K. Jeremy Ko & Zhijian (James) Huang, 2012. "Persistence of Beliefs in an Investment Experiment," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 2(01), pages 1-34.
    13. G. Bottazzi & D. Giachini, 2019. "Far from the madding crowd: collective wisdom in prediction markets," Quantitative Finance, Taylor & Francis Journals, vol. 19(9), pages 1461-1471, September.
    14. DeWeaver, Mark A. & Shannon, Randall, 2010. "Waning vigilance and the disposition effect: Evidence from Thailand on individual investor decision making," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 39(1), pages 18-23, January.
    15. Mattos, Fabio & Garcia, Philip, 2009. "The Effect of Prior Gains and Losses on Current Risk-Taking Using Quantile Regression," 2009 Conference, April 20-21, 2009, St. Louis, Missouri 53035, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    16. Dierick, Nicolas & Heyman, Dries & Inghelbrecht, Koen & Stieperaere, Hannes, 2019. "Financial attention and the disposition effect," Journal of Economic Behavior & Organization, Elsevier, vol. 163(C), pages 190-217.
    17. Monika Czerwonka, 2015. "The exploration of disposition effect among business undergraduates in Poland," Copernican Journal of Finance & Accounting, Uniwersytet Mikolaja Kopernika, vol. 4(2), pages 79-89.
    18. Raphael Flepp & Oliver Merz & Egon Franck, 2024. "When the league table lies: Does outcome bias lead to informationally inefficient markets?," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 414-429, January.
    19. Romain Gauriot Author e-mail: romain.gauriot@nyu.edu & Lionel Page Author e-mail: lionel.page@uts.edu.au, 2021. "How Market Prices React to Information: Evidence from Binary Options Markets," Working Papers 20200058, New York University Abu Dhabi, Department of Social Science, revised Oct 2021.
    20. Barge-Gil, Andrés & García-Hiernaux, Alfredo, 2019. "Staking plans in sports betting under unknown true probabilities of the event," MPRA Paper 92196, University Library of Munich, Germany.

    More about this item

    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:wsi:qjfxxx:v:02:y:2012:i:03:n:s2010139212500139. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/qjf/qjf.shtml .

    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.