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Interpreting prediction market prices as probabilities

Citations

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Cited by:

  1. Wolfers, Justin & Zitzewitz, Eric, 2006. "Five Open Questions About Prediction Markets," CEPR Discussion Papers 5562, C.E.P.R. Discussion Papers.
  2. Chadimová, Kateřina & Cahlíková, Jana & Cingl, Lubomír, 2022. "Foretelling what makes people pay: Predicting the results of field experiments on TV fee enforcement," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 100(C).
  3. Albert N. Link & John T. Scott, 2013. "Private Investor Participation and Commercialization Rates for Government-sponsored Research and Development: Would a Prediction Market Improve the Performance of the SBIR Programme?," Chapters, in: Public Support of Innovation in Entrepreneurial Firms, chapter 11, pages 157-174, Edward Elgar Publishing.
  4. 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.
  5. Andrew Leigh & Justin Wolfers, 2006. "Competing Approaches to Forecasting Elections: Economic Models, Opinion Polling and Prediction Markets," The Economic Record, The Economic Society of Australia, vol. 82(258), pages 325-340, September.
  6. 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.
  7. 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.
  8. 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.
  9. Erik Snowberg & Justin Wolfers & Eric Zitzewitz, 2007. "Partisan Impacts on the Economy: Evidence from Prediction Markets and Close Elections," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(2), pages 807-829.
  10. Victor Olkhov, 2022. "Market-Based Asset Price Probability," Papers 2205.07256, arXiv.org, revised Dec 2024.
  11. He, Xue-Zhong & Treich, Nicolas, 2012. "Heterogeneous Beliefs and Prediction Market Accuracy," IDEI Working Papers 775, Institut d'Économie Industrielle (IDEI), Toulouse.
  12. Karimi, Majid & Zaerpour, Nima, 2022. "Put your money where your forecast is: Supply chain collaborative forecasting with cost-function-based prediction markets," European Journal of Operational Research, Elsevier, vol. 300(3), pages 1035-1049.
  13. 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.
  14. 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.
  15. Alexey V. Osipov & Nikolay N. Osipov, 2022. "From prediction markets to interpretable collective intelligence," Papers 2204.13424, arXiv.org, revised Sep 2023.
  16. 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.
  17. Justin Wolfers, 2006. "New uses for new macro derivatives," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue aug25.
  18. Refet Gürkaynak & Justin Wolfers, 2005. "Macroeconomic Derivatives: An Initial Analysis of Market-Based Macro Forecasts, Uncertainty, and Risk," NBER Chapters, in: NBER International Seminar on Macroeconomics 2005, pages 11-50, National Bureau of Economic Research, Inc.
  19. Coulomb, Renaud & Sangnier, Marc, 2014. "The impact of political majorities on firm value: Do electoral promises or friendship connections matter?," Journal of Public Economics, Elsevier, vol. 115(C), pages 158-170.
  20. Rothschild, David, 2015. "Combining forecasts for elections: Accurate, relevant, and timely," International Journal of Forecasting, Elsevier, vol. 31(3), pages 952-964.
  21. Tideman, T. Nicolaus & Plassmann, Florenz, 2010. "Pricing externalities," European Journal of Political Economy, Elsevier, vol. 26(2), pages 176-184, June.
  22. James Schmitz & David Rothschild, 2019. "Understanding market functionality and trading success," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-28, August.
  23. 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.
  24. Justin Wolfers & Eric Zitzewitz, 2006. "Prediction Markets in Theory and Practice," NBER Working Papers 12083, National Bureau of Economic Research, Inc.
  25. Sojli, Elvira & Tham, Wing Wah, 2015. "Divided governments and futures prices," Journal of Econometrics, Elsevier, vol. 187(2), pages 622-633.
  26. Alina Beygelzimer & John Langford & David Pennock, 2012. "Learning Performance of Prediction Markets with Kelly Bettors," Papers 1201.6655, arXiv.org.
  27. J. James Reade & Sachiko Akie, 2013. "Using Forecasting to Detect Corruption in International Football," Working Papers 2013-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
  28. Rajiv Sethi & Jennifer Wortman Vaughan, 2016. "Belief Aggregation with Automated Market Makers," Computational Economics, Springer;Society for Computational Economics, vol. 48(1), pages 155-178, June.
  29. Johan Perols & Kaushal Chari & Manish Agrawal, 2009. "Information Market-Based Decision Fusion," Management Science, INFORMS, vol. 55(5), pages 827-842, May.
  30. Adam Altmejd & Anna Dreber & Eskil Forsell & Juergen Huber & Taisuke Imai & Magnus Johannesson & Michael Kirchler & Gideon Nave & Colin Camerer, 2019. "Predicting the replicability of social science lab experiments," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-18, December.
  31. 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.
  32. Boulu-Reshef, Béatrice & Comeig, Irene & Donze, Robert & Weiss, Gregory D., 2016. "Risk aversion in prediction markets: A framed-field experiment," Journal of Business Research, Elsevier, vol. 69(11), pages 5071-5075.
  33. Schneider, Mark, 2020. "A bias aggregation theorem," Economics Letters, Elsevier, vol. 196(C).
  34. David S. Lee & Enrico Moretti, 2009. "Bayesian Learning and the Pricing of New Information: Evidence from Prediction Markets," American Economic Review, American Economic Association, vol. 99(2), pages 330-336, May.
  35. Snowberg, Erik & Wolfers, Justin & Zitzewitz, Eric, 2007. "Party Influence in Congress and the Economy," Quarterly Journal of Political Science, now publishers, vol. 2(3), pages 277-286, August.
  36. Joyce E. Berg & John Geweke & Thomas A. Rietz, 2010. "Memoirs of an indifferent trader: Estimating forecast distributions from prediction markets," Quantitative Economics, Econometric Society, vol. 1(1), pages 163-186, July.
  37. Adam Yonce, 2015. "US Corporate Investment Over the Political Cycle," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 1-37.
  38. 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.
  39. 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.
  40. Pingyang Gao & Pierre Jinghong Liang, 2013. "Informational Feedback, Adverse Selection, and Optimal Disclosure Policy," Journal of Accounting Research, Wiley Blackwell, vol. 51(5), pages 1133-1158, December.
  41. Camerer, Colin & Dreber, Anna & Forsell, Eskil & Ho, Teck-Hua & Huber, Jurgen & Johannesson, Magnus & Kirchler, Michael & Almenberg, Johan & Altmejd, Adam & Chan, Taizan & Heikensten, Emma & Holzmeist, 2016. "Evaluating replicability of laboratory experiments in Economics," MPRA Paper 75461, University Library of Munich, Germany.
  42. Sebastian Goers & Alexander Wagner & Jürgen Wegmayr, 2010. "New and old market-based instruments for climate change policy," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 12(1), pages 1-30, June.
  43. Kelly, David L. & Letson, David & Nelson, Forrest & Nolan, David S. & Solís, Daniel, 2012. "Evolution of subjective hurricane risk perceptions: A Bayesian approach," Journal of Economic Behavior & Organization, Elsevier, vol. 81(2), pages 644-663.
  44. Jason Dana & Pavel Atanasov & Philip Tetlock & Barbara Mellers, 2019. "Are markets more accurate than polls? The surprising informational value of “just askingâ€," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 14(2), pages 135-147, March.
  45. Marco Mantovani & Antonio Filippin, 2024. "When do prediction markets return average beliefs? Experimental evidence," Working Papers 532, University of Milano-Bicocca, Department of Economics.
  46. Paul Docherty & Steve Easton, 2012. "Market efficiency and continuous information arrival: evidence from prediction markets," Applied Economics, Taylor & Francis Journals, vol. 44(19), pages 2461-2471, July.
  47. 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.
  48. Kevin A. Hassett & Jonathan S. Hartley, 2016. "Statistically measuring 2016 presidential candidate electability: Evidence from prediction markets," AEI Economics Working Papers 873197, American Enterprise Institute.
  49. Fabio Milani, 2010. "Public option and private profits," Applied Health Economics and Health Policy, Springer, vol. 8(3), pages 155-165, May.
  50. Karl Schlag & James Tremewan & Joël Weele, 2015. "A penny for your thoughts: a survey of methods for eliciting beliefs," Experimental Economics, Springer;Economic Science Association, vol. 18(3), pages 457-490, September.
  51. Katarína Kálovcová & Andreas Ortmann, 2009. "Understanding the Plott-Wit-Yang Paradox," Journal of Prediction Markets, University of Buckingham Press, vol. 3(3), pages 33-44, December.
  52. Mikuláš Gangur & Miroslav Plevný, 2014. "Tools for Consumer Rights Protection in the Prediction of Electronic Virtual Market and Technological Changes," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 16(36), pages 578-578, May.
  53. Dian Yu & Jianjun Gao & Weiping Wu & Zizhuo Wang, 2022. "Price Interpretability of Prediction Markets: A Convergence Analysis," Papers 2205.08913, arXiv.org, revised Nov 2023.
  54. Hedtrich, F. & Loy, J.-P. & Müller, R.A.E., 2010. "Prognosen auf Agrarmärkten: Prediction Markets – eine innovative Prognosemethode auch für die Landwirtschaft?," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 45, March.
  55. Majid Karimi & Stanko Dimitrov, 2018. "On the Road to Making Science of “Art”: Risk Bias in Market Scoring Rules," Decision Analysis, INFORMS, vol. 15(2), pages 72-89, June.
  56. repec:cup:judgdm:v:14:y:2019:i:2:p:135-147 is not listed on IDEAS
  57. Pavel Atanasov & Phillip Rescober & Eric Stone & Samuel A. Swift & Emile Servan-Schreiber & Philip Tetlock & Lyle Ungar & Barbara Mellers, 2017. "Distilling the Wisdom of Crowds: Prediction Markets vs. Prediction Polls," Management Science, INFORMS, vol. 63(3), pages 691-706, March.
  58. 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.
  59. Gustav Axén & Dominic Cortis, 2020. "Hedging on Betting Markets," Risks, MDPI, vol. 8(3), pages 1-14, August.
  60. Mark Schneider, 2019. "A Bias Aggregation Theorem," Working Papers 19-03, Chapman University, Economic Science Institute.
  61. Karl Schlag & James Tremewan & Joël Weele, 2015. "A penny for your thoughts: a survey of methods for eliciting beliefs," Experimental Economics, Springer;Economic Science Association, vol. 18(3), pages 457-490, September.
  62. Martin Spann & Bernd Skiera, 2009. "Sports forecasting: a comparison of the forecast accuracy of prediction markets, betting odds and tipsters," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(1), pages 55-72.
  63. Hongzhou Chen & Xiaolin Duan & Abdulmotaleb El Saddik & Wei Cai, 2024. "Political Leanings in Web3 Betting: Decoding the Interplay of Political and Profitable Motives," Papers 2407.14844, arXiv.org.
  64. Urmee Khan, 2016. "State-dependent Preferences in Prediction Markets and Prices as Aggregate Statistic," Working Papers 201609, University of California at Riverside, Department of Economics.
  65. 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.
  66. Florian Teschner & David Rothschild & Henner Gimpel, 2017. "Manipulation in Conditional Decision Markets," Group Decision and Negotiation, Springer, vol. 26(5), pages 953-971, September.
  67. 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.
  68. Tongkui Yu & Shu-Heng Chen, 2011. "Agent-Based Modeling of the Prediction Markets," ASSRU Discussion Papers 1119, ASSRU - Algorithmic Social Science Research Unit.
  69. 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.
  70. Urmee Khan, 2016. "State-dependent Preferences in Prediction Markets and Prices as Aggregate Statistic," Studies in Microeconomics, , vol. 4(1), pages 70-77, June.
  71. Lionel Page & Robert T. Clemen, 2013. "Do Prediction Markets Produce Well‐Calibrated Probability Forecasts?-super-," Economic Journal, Royal Economic Society, vol. 123(568), pages 491-513, May.
  72. repec:grz:wpsses:2019-01 is not listed on IDEAS
  73. Jinli Hu, 2012. "Combinatorial Modelling and Learning with Prediction Markets," Papers 1201.3851, arXiv.org.
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