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Extrapolative beliefs in the cross-section: What can we learn from the crowds?

Citations

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Cited by:

  1. Lansing, Kevin J. & LeRoy, Stephen F. & Ma, Jun, 2022. "Examining the sources of excess return predictability: Stochastic volatility or market inefficiency?," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 50-72.
  2. Niculaescu, Corina E. & Sangiorgi, Ivan & Bell, Adrian R., 2023. "Does personal experience with COVID-19 impact investment decisions? Evidence from a survey of US retail investors," International Review of Financial Analysis, Elsevier, vol. 88(C).
  3. Cakici, Nusret & Zaremba, Adam, 2023. "Recency bias and the cross-section of international stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
  4. Chen, Jian & Tang, Guohao & Yao, Jiaquan & Zhou, Guofu, 2023. "Employee sentiment and stock returns," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).
  5. Liu, Hongqi & Peng, Cameron & Xiong, Wei A. & Xiong, Wei, 2022. "Taming the bias zoo," Journal of Financial Economics, Elsevier, vol. 143(2), pages 716-741.
  6. Jin, Lawrence J. & Sui, Pengfei, 2022. "Asset pricing with return extrapolation," Journal of Financial Economics, Elsevier, vol. 145(2), pages 273-295.
  7. Pätäri, Eero & Ahmed, Sheraz & Luukka, Pasi & Yeomans, Julian Scott, 2023. "Can monthly-return rank order reveal a hidden dimension of momentum? The post-cost evidence from the U.S. stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 65(C).
  8. Constantin Charles & Cary D. Frydman & Mete Kilic, 2022. "Insensitive Investors," CESifo Working Paper Series 10067, CESifo.
  9. Charles, Constantin & Frydman, Cary & Kilic, Mete, 2024. "Insensitive investors," LSE Research Online Documents on Economics 120788, London School of Economics and Political Science, LSE Library.
  10. Liao, Jingchi & Peng, Cameron & Zhu, Ning, 2022. "Extrapolative bubbles and trading volume," LSE Research Online Documents on Economics 110514, London School of Economics and Political Science, LSE Library.
  11. Kogana, Shimon & Makarov, Igor & Niessnerc, Marina & Schoar, Antoinette, 2024. "Are cryptos different? Evidence from retail trading," LSE Research Online Documents on Economics 122266, London School of Economics and Political Science, LSE Library.
  12. Adem Atmaz & Huseyin Gulen & Stefano Cassella & Fangcheng Ruan, 2024. "Contrarians, Extrapolators, and Stock Market Momentum and Reversal," Management Science, INFORMS, vol. 70(9), pages 5949-5984, September.
  13. Devdeepta Bose & Henning Cordes & Sven Nolte & Judith Christiane Schneider & Colin Farrell Camerer, 2022. "Decision Weights for Experimental Asset Prices Based on Visual Salience," The Review of Financial Studies, Society for Financial Studies, vol. 35(11), pages 5094-5126.
  14. Petkova, Ralitsa, 2023. "Extrapolative beliefs about Bitcoin returns," Finance Research Letters, Elsevier, vol. 56(C).
  15. Karl Naumann-Woleske & Michael Benzaquen & Maxim Gusev & Dimitri Kroujiline, 2021. "Capital Demand Driven Business Cycles: Mechanism and Effects," Papers 2110.00360, arXiv.org, revised Sep 2022.
  16. Cookson, J. Anthony & Lu, Runjing & Mullins, William & Niessner, Marina, 2024. "The social signal," Journal of Financial Economics, Elsevier, vol. 158(C).
  17. Matteo Benetton & Giovanni Compiani, 2024. "Investors’ Beliefs and Cryptocurrency Prices," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 14(2), pages 197-236.
  18. Xu, Rong & Liu, Yaodong & Hu, Nan & Guo, Jie (Michael), 2022. "What drives individual investors in the bear market?," The British Accounting Review, Elsevier, vol. 54(6).
  19. Liao, Jingchi & Peng, Cameron & Zhu, Ning, 2021. "Extrapolative bubbles and trading volume," LSE Research Online Documents on Economics 118887, London School of Economics and Political Science, LSE Library.
  20. Philippe van der Beck & Jean-Philippe Bouchaud & Dario Villamaina, 2024. "Ponzi Funds," Papers 2405.12768, arXiv.org.
  21. Gong, Qingbin & Diao, Xundi, 2023. "The impacts of investor network and herd behavior on market stability: Social learning, network structure, and heterogeneity," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1388-1398.
  22. Ryan G. Chacon & Thibaut G. Morillon & Ruixiang Wang, 2023. "Will the reddit rebellion take you to the moon? Evidence from WallStreetBets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(1), pages 1-25, March.
  23. Chen, Rongxin & Lepori, Gabriele M. & Tai, Chung-Ching & Sung, Ming-Chien, 2022. "Can salience theory explain investor behaviour? Real-world evidence from the cryptocurrency market," International Review of Financial Analysis, Elsevier, vol. 84(C).
  24. Daniel Bradley & Jan Hanousek & Russell Jame & Zicheng Xiao, 2024. "Place Your Bets? The Value of Investment Research on Reddit’s Wallstreetbets," The Review of Financial Studies, Society for Financial Studies, vol. 37(5), pages 1409-1459.
  25. Oesinghaus, Andreas, 2024. "Analysts’ extrapolative expectations in the cross-section," Journal of Economics and Business, Elsevier, vol. 130(C).
  26. Magnus Dahlquist & Markus Ibert, 2024. "Equity Return Expectations and Portfolios: Evidence from Large Asset Managers," The Review of Financial Studies, Society for Financial Studies, vol. 37(6), pages 1887-1928.
  27. Hu, Shiyang & Xiang, Cheng & Quan, Xiaofeng, 2023. "Salience theory and mutual fund flows: Empirical evidence from China," Emerging Markets Review, Elsevier, vol. 54(C).
  28. Shuaiyu Chen & T. Clifton Green & Huseyin Gulen & Dexin Zhou, 2024. "What Does ChatGPT Make of Historical Stock Returns? Extrapolation and Miscalibration in LLM Stock Return Forecasts," Papers 2409.11540, arXiv.org.
  29. Zhaobo Zhu & Licheng Sun, 2024. "When Buffett Meets Bollinger: An Integrated Approach to Fundamental and Technical Analysis," Post-Print hal-04703041, HAL.
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