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Price Reaction to Information with Heterogeneous Beliefs and Wealth Effects: Underreaction, Momentum, and Reversal

Citations

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Cited by:

  1. He, Xue-Zhong & Treich, Nicolas, 2017. "Prediction market prices under risk aversion and heterogeneous beliefs," Journal of Mathematical Economics, Elsevier, vol. 70(C), pages 105-114.
  2. Zhao, Daping & Wang, Yande & Fang, Yong, 2024. "Greenium and public climate concerns: Evidence from China," Finance Research Letters, Elsevier, vol. 69(PA).
  3. 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.
  4. John Fender, 2020. "Beyond the efficient markets hypothesis: Towards a new paradigm," Bulletin of Economic Research, Wiley Blackwell, vol. 72(3), pages 333-351, July.
  5. Roland Füss & Massimo Guidolin & Christian Koeppel, 2019. "Sentiment Risk Premia In The Cross-Section of Global Equity," Working Papers on Finance 1913, University of St. Gallen, School of Finance, revised May 2020.
  6. Heraud, Florian & Page, Lionel, 2024. "Does the left-digit bias affect prices in financial markets?," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 20-29.
  7. R. Jared DeLisle & H. Zafer Yüksel & Gulnara R. Zaynutdinova, 2020. "What'S In A Name? A Cautionary Tale Of Profitability Anomalies And Limits To Arbitrage," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 43(2), pages 305-344, May.
  8. de Oliveira Souza, Thiago, 2019. "Predictability concentrates in bad times. And so does disagreement," Discussion Papers on Economics 8/2019, University of Southern Denmark, Department of Economics.
  9. 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.
  10. José Luis Montiel Olea & Pietro Ortoleva & Mallesh Pai & Andrea Prat, 2021. "Competing Models," Working Papers 2021-89, Princeton University. Economics Department..
  11. Ichkitidze, Yuri, 2018. "Temporary price trends in the stock market with rational agents," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 103-117.
  12. Jose Luis Montiel Olea & Pietro Ortoleva & Mallesh M Pai & Andrea Prat, 2019. "Competing Models," Papers 1907.03809, arXiv.org, revised Nov 2021.
  13. Remorov, Alexander, 2015. "Dynamic Trading When You May Be Wrong," MPRA Paper 63964, University Library of Munich, Germany, revised 27 Apr 2015.
  14. Marcello Pericoli & Giovanni Veronese, 2015. "Forecaster heterogeneity, surprises and financial markets," Temi di discussione (Economic working papers) 1020, Bank of Italy, Economic Research and International Relations Area.
  15. Weidong Tian & Zimu Zhu, 2022. "A portfolio choice problem under risk capacity constraint," Annals of Finance, Springer, vol. 18(3), pages 285-326, September.
  16. Bottazzi, Giulio & Giachini, Daniele, 2022. "A general equilibrium model of investor sentiment," Economics Letters, Elsevier, vol. 218(C).
  17. Bjerksund, Petter & Stensland, Gunnar, 2017. "Profitable Robot Strategies in Pari-Mutuel Betting," Discussion Papers 2017/6, Norwegian School of Economics, Department of Business and Management Science.
  18. Marco Mantovani & Antonio Filippin, 2024. "When do prediction markets return average beliefs? Experimental evidence," Working Papers 532, University of Milano-Bicocca, Department of Economics.
  19. Ramirez, Philip & Reade, J. James & Singleton, Carl, 2023. "Betting on a buzz: Mispricing and inefficiency in online sportsbooks," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1413-1423.
  20. Weijia Wang & Shaoan Huang, 2021. "Risk sharing and financial stability: a welfare analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 211-228, January.
  21. Urmee Khan, 2016. "State-dependent Preferences in Prediction Markets and Prices as Aggregate Statistic," Studies in Microeconomics, , vol. 4(1), pages 70-77, June.
  22. Ming‐Yu Liu, 2019. "Improving momentum strategies using residual returns and option‐implied information," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(4), pages 499-521, April.
  23. Po‐Hsuan Hsu & Kai Li & Chi‐Yang Tsou, 2023. "The Pollution Premium," Journal of Finance, American Finance Association, vol. 78(3), pages 1343-1392, June.
  24. Lionel Page & Christoph Siemroth, 2021. "How Much Information Is Incorporated into Financial Asset Prices? Experimental Evidence," Review of Financial Studies, Society for Financial Studies, vol. 34(9), pages 4412-4449.
  25. 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.
  26. DeLisle, R. Jared & Ferguson, Michael F. & Kassa, Haimanot & Zaynutdinova, Gulnara R., 2021. "Hazard stocks and expected returns," Journal of Banking & Finance, Elsevier, vol. 125(C).
  27. Bo Cowgill & Eric Zitzewitz, 2015. "Corporate Prediction Markets: Evidence from Google, Ford, and Firm X," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(4), pages 1309-1341.
  28. Au, Pak Hung, 2016. "Price reaction and disagreement over public signal," Journal of Economic Behavior & Organization, Elsevier, vol. 130(C), pages 81-106.
  29. 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.
  30. Yi-Chun Chen & Manuel Mueller-Frank & Mallesh M Pai, 2021. "The Wisdom of the Crowd and Higher-Order Beliefs," Papers 2102.02666, arXiv.org, revised Nov 2021.
  31. 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.
  32. Roland Fuess & Massimo Guidolin & Christian Koeppel, 2019. "Sentiment Risk Premia in the Cross-Section of Global Equity and Currency Returns," BAFFI CAREFIN Working Papers 19116, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
  33. Bennett, Donyetta & Mekelburg, Erik & Strauss, Jack & Williams, T.H., 2024. "Unlocking the black box of sentiment and cryptocurrency: What, which, why, when and how?," Global Finance Journal, Elsevier, vol. 60(C).
  34. Zhao, Yang & Yu, Min-Teh, 2020. "Predicting catastrophe risk: Evidence from catastrophe bond markets," Journal of Banking & Finance, Elsevier, vol. 121(C).
  35. Albert S. Kyle & Anna A. Obizhaeva & Yajun Wang, 2023. "Beliefs Aggregation and Return Predictability," Journal of Finance, American Finance Association, vol. 78(1), pages 427-486, February.
  36. David Johnstone & Stewart Jones & Oliver Jones & Steve Tulig, 2021. "Scoring Probability Forecasts by a User’s Bets Against a Market Consensus," Decision Analysis, INFORMS, vol. 18(3), pages 169-184, September.
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