IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/87997.html
   My bibliography  Save this paper

Individual reaction to past performance sequences: evidence from a real marketplace

Author

Listed:
  • Andrikogiannopoulou, Angie
  • Papakonstantinou, Filippos

Abstract

We use novel data on individual activity in a sports betting market to study the effect of past performance sequences on individual behavior in a real market. The idiosyncratic nature of risk in this market and the revelation of assets’ true terminal values enables us to disentangle whether behavior is caused by sentiment or by superior information about market mispricings and to cleanly test two prominent theories of momentum and reversals—the regime-shifting model of Barberis et al. [Barberis N, Shleifer A, Vishny R (1998) A model of investor sentiment. J. Financial Econom. 49(3):307–343] and the gambler’s/hot-hand fallacy model of Rabin [Rabin M (2002) Inference by believers in the law of small numbers. Quart. J. Econom. 117(3):775–816]. Furthermore, our long panel enables us to study the prevalence across individuals of each type of behavior. We find that (i) three-quarters of individuals exhibit trend-chasing behavior, (ii) seven times as many individuals exhibit behavior consistent with Barberis et al. (1998) as exhibit behavior consistent with Rabin (2002), and (iii) no individuals earn superior returns from momentum trading.

Suggested Citation

  • Andrikogiannopoulou, Angie & Papakonstantinou, Filippos, 2017. "Individual reaction to past performance sequences: evidence from a real marketplace," LSE Research Online Documents on Economics 87997, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:87997
    as

    Download full text from publisher

    File URL: http://eprints.lse.ac.uk/87997/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rodney J. Paul & Andrew P. Weinbach, 2009. "Sportsbook Behavior in the NCAA Football Betting Market: Tests of the Traditional and Levitt Models of Sportsbook Behavior," Journal of Prediction Markets, University of Buckingham Press, vol. 3(2), pages 21-37, August.
    2. Sigrid Suetens & Claus B. Galbo-Jørgensen & Jean-Robert Tyran, 2016. "Predicting Lotto Numbers: A Natural Experiment on the Gambler's Fallacy and the Hot-Hand Fallacy," Journal of the European Economic Association, European Economic Association, vol. 14(3), pages 584-607.
    3. Glaser, Markus, 2003. "Online broker investors : demographic information, investment strategy, portfolio positions, and trading activity," Papers 03-18, Sonderforschungsbreich 504.
    4. Mark Grinblatt & Matti Keloharju, 2001. "What Makes Investors Trade?," Journal of Finance, American Finance Association, vol. 56(2), pages 589-616, April.
    5. Matthew Rabin, 2002. "Inference by Believers in the Law of Small Numbers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(3), pages 775-816.
    6. Matti Keloharju & Samuli Knüpfer & Juhani Linnainmaa, 2012. "Do Investors Buy What They Know? Product Market Choices and Investment Decisions," The Review of Financial Studies, Society for Financial Studies, vol. 25(10), pages 2921-2958.
    7. repec:bla:jfinan:v:53:y:1998:i:5:p:1775-1798 is not listed on IDEAS
    8. Glaser, Markus, 2003. "Online Broker Investors: Demographic Information, Investment Strategy, Portfolio Positions, and Trading Activity," Sonderforschungsbereich 504 Publications 03-18, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    9. Jonathan B. Berk & Richard C. Green, 2004. "Mutual Fund Flows and Performance in Rational Markets," Journal of Political Economy, University of Chicago Press, vol. 112(6), pages 1269-1295, December.
    10. Rodney J. Paul & Andrew P. Weinbach, 2007. "Does Sportsbook.com Set Pointspreads to Maximize Profits? Tests of the Levitt Model of Sportsbook Behavior," Journal of Prediction Markets, University of Buckingham Press, vol. 1(3), pages 209-218, December.
    11. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    12. Russell Davidson & James MacKinnon, 2000. "Bootstrap tests: how many bootstraps?," Econometric Reviews, Taylor & Francis Journals, vol. 19(1), pages 55-68.
    13. 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.
    14. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    15. Daniel Dorn & Paul Sengmueller, 2009. "Trading as Entertainment?," Management Science, INFORMS, vol. 55(4), pages 591-603, April.
    16. Rodney Paul & Andrew Weinbach, 2012. "Sportsbook pricing and the behavioral biases of bettors in the NHL," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 36(1), pages 123-135, January.
    17. Elena Asparouhova & Michael Hertzel & Michael Lemmon, 2009. "Inference from Streaks in Random Outcomes: Experimental Evidence on Beliefs in Regime Shifting and the Law of Small Numbers," Management Science, INFORMS, vol. 55(11), pages 1766-1782, November.
    18. Xiaohui Gao & Tse-Chun Lin, 2015. "Do Individual Investors Treat Trading as a Fun and Exciting Gambling Activity? Evidence from Repeated Natural Experiments," The Review of Financial Studies, Society for Financial Studies, vol. 28(7), pages 2128-2166.
    19. John D. Storey, 2002. "A direct approach to false discovery rates," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(3), pages 479-498, August.
    20. Brown, William O & Sauer, Raymond D, 1993. "Does the Basketball Market Believe in the Hot Hand? Comment," American Economic Review, American Economic Association, vol. 83(5), pages 1377-1386, December.
    21. Brad M. Barber & Terrance Odean, 2002. "Online Investors: Do the Slow Die First?," The Review of Financial Studies, Society for Financial Studies, vol. 15(2), pages 455-488, March.
    22. repec:bla:econom:v:56:y:1989:i:223:p:323-41 is not listed on IDEAS
    23. repec:bla:jfinan:v:43:y:1988:i:4:p:995-1008 is not listed on IDEAS
    24. Roger K. Loh & Mitch Warachka, 2012. "Streaks in Earnings Surprises and the Cross-Section of Stock Returns," Management Science, INFORMS, vol. 58(7), pages 1305-1321, July.
    25. Steven D. Levitt, 2004. "Why are gambling markets organised so differently from financial markets?," Economic Journal, Royal Economic Society, vol. 114(495), pages 223-246, April.
    26. Avery, Christopher & Chevalier, Judith, 1999. "Identifying Investor Sentiment from Price Paths: The Case of Football Betting," The Journal of Business, University of Chicago Press, vol. 72(4), pages 493-521, October.
    27. Gregory R. Durham & Michael G. Hertzel & J. Spencer Martin, 2005. "The Market Impact of Trends and Sequences in Performance: New Evidence," Journal of Finance, American Finance Association, vol. 60(5), pages 2551-2569, October.
    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. Pastoriza, David & Alegre, Inés & Canela, Miguel A., 2021. "Conditioning the effect of prize on tournament self-selection," Journal of Economic Psychology, Elsevier, vol. 86(C).

    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. Angie Andrikogiannopoulou & Filippos Papakonstantinou, 2018. "Individual Reaction to Past Performance Sequences: Evidence from a Real Marketplace," Management Science, INFORMS, vol. 64(4), pages 1957-1973, April.
    2. Tobias J. Moskowitz, 2021. "Asset Pricing and Sports Betting," Journal of Finance, American Finance Association, vol. 76(6), pages 3153-3209, December.
    3. Joshua B. Miller & Adam Sanjurjo, 2014. "A Cold Shower for the Hot Hand Fallacy," Working Papers 518, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    4. Michael Sinkey & Trevon Logan, 2014. "Does the Hot Hand Drive the Market? Evidence from College Football Betting Markets," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 40(4), pages 583-603, September.
    5. Joshua B. Miller & Adam Sanjurjo, 2019. "Surprised by the Hot Hand Fallacy? A Truth in the Law of Small Numbers," Papers 1902.01265, arXiv.org.
    6. Guillermo Baquero & Marno Verbeek, 2022. "Hedge Fund Flows and Performance Streaks: How Investors Weigh Information," Management Science, INFORMS, vol. 68(6), pages 4151-4172, June.
    7. Pelster, Matthias, 2020. "The gambler’s and hot-hand fallacies: Empirical evidence from trading data," Economics Letters, Elsevier, vol. 187(C).
    8. Joshua B. Miller & Adam Sanjurjo, 2015. "Is it a Fallacy to Believe in the Hot Hand in the NBA Three-Point Contest?," Working Papers 548, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    9. Raphael Flepp & Stephan Nüesch & Egon Franck, 2016. "Does Bettor Sentiment Affect Bookmaker Pricing?," Journal of Sports Economics, , vol. 17(1), pages 3-11, January.
    10. Markus Glaser & Martin Weber, 2007. "Overconfidence and trading volume," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 32(1), pages 1-36, June.
    11. Daniel J. Benjamin, 2018. "Errors in Probabilistic Reasoning and Judgment Biases," NBER Working Papers 25200, National Bureau of Economic Research, Inc.
    12. Durand, Robert B. & Patterson, Fernando M. & Shank, Corey A., 2021. "Behavioral biases in the NFL gambling market: Overreaction to news and the recency bias," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).
    13. Joshua B. Miller & Adam Sanjurjo, 2018. "Surprised by the Hot Hand Fallacy? A Truth in the Law of Small Numbers," Econometrica, Econometric Society, vol. 86(6), pages 2019-2047, November.
    14. Miller, Joshua B. & Sanjurjo, Adam, 2021. "Is it a fallacy to believe in the hot hand in the NBA three-point contest?," European Economic Review, Elsevier, vol. 138(C).
    15. Miller, Joshua Benjamin & Sanjurjo, Adam, 2018. "A Visible (Hot) Hand? Expert Players Bet on the Hot Hand and Win," OSF Preprints sd32u, Center for Open Science.
    16. Miller, Joshua Benjamin & Sanjurjo, Adam, 2018. "Is it a Fallacy to Believe in the Hot Hand in the NBA Three-Point Contest?," OSF Preprints dmksp, Center for Open Science.
    17. Greg Durham & Mukunthan Santhanakrishnan, 2012. "Point-Spread Wagering Markets' Analogue to Realized Return in Financial Markets," Journal of Sports Economics, , vol. 13(5), pages 554-566, October.
    18. Miller, Joshua Benjamin & Sanjurjo, Adam, 2018. "A Bridge from Monty Hall to the Hot Hand: Restricted Choice, Selection Bias, and Empirical Practice," OSF Preprints dmgtp, Center for Open Science.
    19. Abreu, Margarida & Mendes, Victor, 2012. "Information, overconfidence and trading: Do the sources of information matter?," Journal of Economic Psychology, Elsevier, vol. 33(4), pages 868-881.
    20. Joshua B. Miller & Adam Sanjurjo, 2015. "Surprised by the Gambler’s and Hot Hand Fallacies? A Truth in the Law of Small Numbers," Working Papers 552, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.

    More about this item

    Keywords

    momentum; individual decision making; heterogeneity; behavioral biases; sports betting;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:ehl:lserod:87997. 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: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.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.