IDEAS home Printed from https://ideas.repec.org/r/eee/jfinec/v140y2021i1p175-196.html
   My bibliography  Save this item

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

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. 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).
  2. 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).
  3. Zhang, Huajing & Jiang, Fuwei & Liu, Yumin, 2024. "Extrapolative beliefs and return predictability: Evidence from China," Journal of Behavioral and Experimental Finance, Elsevier, vol. 43(C).
  4. 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.
  5. Jin, Lawrence J. & Sui, Pengfei, 2022. "Asset pricing with return extrapolation," Journal of Financial Economics, Elsevier, vol. 145(2), pages 273-295.
  6. Constantin Charles & Cary D. Frydman & Mete Kilic, 2022. "Insensitive Investors," CESifo Working Paper Series 10067, CESifo.
  7. Avramov, D. & Ge, S. & Li, S. & Linton, O. B., 2025. "Dual Industry Effects and Cross-Stock Predictability," Janeway Institute Working Papers 2506, Faculty of Economics, University of Cambridge.
  8. 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.
  9. 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.
  10. Gomes, Francisco & Peng, Cameron & Smirnova, Oksana & Zhu, Ning, 2025. "Reaching for yield: evidence from households," LSE Research Online Documents on Economics 125397, 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. 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.
  13. 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.
  14. 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).
  15. 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.
  16. Kogan, Shimon & Makarov, Igor & Niessner, Marina & Schoar, Antoinette, 2024. "Are cryptos different? Evidence from retail trading," Journal of Financial Economics, Elsevier, vol. 159(C).
  17. Tang, Guohao & Wu, Yiyong & Lou, Guanyu, 2024. "Extrapolation beyond peers: An asset pricing perspective," Journal of International Money and Finance, Elsevier, vol. 148(C).
  18. Philippe van der Beck & Jean-Philippe Bouchaud & Dario Villamaina, 2024. "Ponzi Funds," Papers 2405.12768, arXiv.org.
  19. 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.
  20. 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).
  21. Li, Yihan, 2024. "Trading on trends: How the ordering of historical volume predicts Chinese stock returns?," International Review of Financial Analysis, Elsevier, vol. 95(PC).
  22. Yunchuan Sun & Lu Liu & Ying Xu & Xiaoping Zeng & Yufeng Shi & Haifeng Hu & Jie Jiang & Ajith Abraham, 2024. "Alternative data in finance and business: emerging applications and theory analysis (review)," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-32, December.
  23. Oesinghaus, Andreas, 2024. "Analysts’ extrapolative expectations in the cross-section," Journal of Economics and Business, Elsevier, vol. 130(C).
  24. 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.
  25. Hu, Shiyang & Xiang, Cheng & Quan, Xiaofeng, 2023. "Salience theory and mutual fund flows: Empirical evidence from China," Emerging Markets Review, Elsevier, vol. 54(C).
  26. 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.
  27. 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.
  28. Chen, Jian & Tang, Guohao & Yao, Jiaquan & Zhou, Guofu, 2023. "Employee sentiment and stock returns," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).
  29. 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).
  30. 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.
  31. Avramov, D. & Ge, S. & Li, S. & Linton, O. B., 2025. "Dual Industry Effects and Cross-Stock Predictability," Cambridge Working Papers in Economics 2512, Faculty of Economics, University of Cambridge.
  32. Petkova, Ralitsa, 2023. "Extrapolative beliefs about Bitcoin returns," Finance Research Letters, Elsevier, vol. 56(C).
  33. 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.
  34. Cookson, J. Anthony & Lu, Runjing & Mullins, William & Niessner, Marina, 2024. "The social signal," Journal of Financial Economics, Elsevier, vol. 158(C).
  35. 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.
  36. 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.
  37. Yuan, Kaibin & Liang, Yuheng & Zhu, Mengnan, 2024. "Social forecasting: Online social opinion and the cross-section of stock returns," Pacific-Basin Finance Journal, Elsevier, vol. 86(C).
  38. Zhaobo Zhu & Licheng Sun, 2024. "When Buffett Meets Bollinger: An Integrated Approach to Fundamental and Technical Analysis," Post-Print hal-04703041, HAL.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.