IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2609.12878.html

The Favorite-Longshot Bias in Prediction Markets: Evidence from Polymarket

Author

Listed:
  • Marcos Cardozo
  • Jos'e Ignacio Rivero-Wildemauwe

Abstract

The favorite--longshot bias (FLB) is one of the most persistent return patterns in betting markets, but its prevalence in modern prediction markets and its relation to recurrent longshot demand remain unclear. We study these questions in Polymarket, a large and increasingly important prediction market, using 588 million trades by 2.48 million accounts. In observed transaction flows, purchases below 10 cents lose 19.3 cents per dollar, while purchases at or above 90 cents earn 0.83 cents. How contracts are grouped changes the result: longshots lose 6.3 cents per dollar when each contract is weighted equally but gain 4.1 cents when related contracts are first grouped by parent event; the two-sided pattern is robust in Crypto and Politics but surprisingly absent in Sports. The top decile of accounts with the strongest past tendency to buy longshots accounts for 26.6 percent of next-month low-price purchases, but earns similar returns to others. The top decile of accounts with the strongest past tendency to buy favorites accounts for 15.1 percent of next-month high-price purchases but earns less than others. These findings provide evidence of an aggregate FLB on Polymarket, but its magnitude depends on how contracts are grouped.

Suggested Citation

  • Marcos Cardozo & Jos'e Ignacio Rivero-Wildemauwe, 2026. "The Favorite-Longshot Bias in Prediction Markets: Evidence from Polymarket," Papers 2609.12878, arXiv.org.
  • Handle: RePEc:arx:papers:2609.12878
    as

    Download full text from publisher

    File URL: https://arxiv.org/pdf/2609.12878
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marco Ottaviani & Peter Norman Sorensen, 2010. "Noise, Information, and the Favorite-Longshot Bias in Parimutuel Predictions," American Economic Journal: Microeconomics, American Economic Association, vol. 2(1), pages 58-85, February.
    2. Martin Weitzman, 2008. "Utility Analysis And Group Behavior An Empirical Study," World Scientific Book Chapters, in: Donald B Hausch & Victor SY Lo & William T Ziemba (ed.), Efficiency Of Racetrack Betting Markets, chapter 9, pages 47-55, World Scientific Publishing Co. Pte. Ltd..
    3. Burgi, Constantin & Deng, Wanying & Whelan, Karl, 2025. "Makers and Takers: The Economics of the Kalshi Prediction Market," CEPR Discussion Papers 20631, Centre for Economic Policy Research.
    4. Ali, Mukhtar M, 1977. "Probability and Utility Estimates for Racetrack Bettors," Journal of Political Economy, University of Chicago Press, vol. 85(4), pages 803-815, August.
    5. Shleifer, Andrei & Vishny, Robert W, 1997. "The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    6. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    7. Bruno Jullien & Bernard Salanie, 2000. "Estimating Preferences under Risk: The Case of Racetrack Bettors," Journal of Political Economy, University of Chicago Press, vol. 108(3), pages 503-530, June.
    8. Amit Gandhi & Ricardo Serrano-Padial, 2015. "Does Belief Heterogeneity Explain Asset Prices: The Case of the Longshot Bias," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(1), pages 156-186.
    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. Leighton Vaughan Williams & Ming‐Chien Sung & Peter A. F. Fraser‐Mackenzie & John Peirson & Johnnie E. V. Johnson, 2018. "Towards an Understanding of the Origins of the Favourite–Longshot Bias: Evidence from Online Poker Markets, a Real‐money Natural Laboratory," Economica, London School of Economics and Political Science, vol. 85(338), pages 360-382, April.
    2. Reichenbach, Felix & Walther, Martin, 2026. "Decision models and online betting behavior: Comparing mean-variance, expected utility, and prospect theory," Journal of Economic Behavior & Organization, Elsevier, vol. 246(C).
    3. Andrew Meyer & Sean Hundtofte, 2023. "The Longshot Bias Is a Context Effect," Management Science, INFORMS, vol. 69(11), pages 6954-6968, November.
    4. Yu, Dian & Gao, Jianjun & Wang, Tongyao, 2022. "Betting market equilibrium with heterogeneous beliefs: A prospect theory-based model," European Journal of Operational Research, Elsevier, vol. 298(1), pages 137-151.
    5. Foster, Gigi & Frijters, Paul & Schaffner, Markus & Torgler, Benno, 2018. "Expectation formation in an evolving game of uncertainty: New experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 379-405.
    6. 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.
    7. Robin Maximilian Stetzka & Stefan Winter, 2023. "How rational is gambling?," Journal of Economic Surveys, Wiley Blackwell, vol. 37(4), pages 1432-1488, September.
    8. Erik Snowberg & Justin Wolfers, 2010. "Explaining the Favorite-Long Shot Bias: Is it Risk-Love or Misperceptions?," Journal of Political Economy, University of Chicago Press, vol. 118(4), pages 723-746, August.
    9. Gigi Foster & Paul Frijters & Markus Schaffner & Benno Torgler, 2013. "Expectation Formation in an Evolving Game of Uncertainty: Theory and New Experimental Evidence," CREMA Working Paper Series 2013-19, Center for Research in Economics, Management and the Arts (CREMA).
    10. Goto, Shingo & Yamada, Toru, 2023. "What drives biased odds in sports betting markets: Bettors’ irrationality and the role of bookmakers," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 252-270.
    11. Karl Whelan, 2024. "Risk aversion and favourite–longshot bias in a competitive fixed‐odds betting market," Economica, London School of Economics and Political Science, vol. 91(361), pages 188-209, January.
    12. Frantisek Kopriva, 2015. "Constant Bet Size? Don't Bet on It! Testing Expected Utility Theory on Betfair Data," CERGE-EI Working Papers wp545, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    13. Jinook Jeong & Jee Young Kim & Yoon Jae Ro, 2019. "On the efficiency of racetrack betting market: a new test for the favourite-longshot bias," Applied Economics, Taylor & Francis Journals, vol. 51(54), pages 5817-5828, November.
    14. Feess, Eberhard & Müller, Helge & Schumacher, Christoph, 2016. "Estimating risk preferences of bettors with different bet sizes," European Journal of Operational Research, Elsevier, vol. 249(3), pages 1102-1112.
    15. Matti Koivuranta & Marko Korhonen, 2019. "Misperception explains favorite-longshot bias: evidence from the Finnish and Swedish harness horse race markets," Empirical Economics, Springer, vol. 57(6), pages 2149-2160, December.
    16. 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.
    17. Restocchi, Valerio & McGroarty, Frank & Gerding, Enrico & Johnson, Johnnie E.V., 2018. "It takes all sorts: A heterogeneous agent explanation for prediction market mispricing," European Journal of Operational Research, Elsevier, vol. 270(2), pages 556-569.
    18. Ariane Charpin, 2018. "Tests des modèles de décision en situation de risque. Le cas des parieurs hippiques en France," Revue économique, Presses de Sciences-Po, vol. 69(5), pages 779-803.
    19. Spencer Barnes & Luke C. D. Stein, 2026. "Racial Discrimination in Asset Prices: Evidence From Horse Betting," The Financial Review, Eastern Finance Association, vol. 61(3), pages 807-829, August.
    20. Bergemann, Dirk & Ottaviani, Marco, 2021. "Information Markets and Nonmarkets," CEPR Discussion Papers 16459, Centre for Economic Policy Research.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:arx:papers:2609.12878. 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: arXiv administrators (email available below). General contact details of provider: https://arxiv.org/ .

    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.