Open Access
Issue
SHS Web Conf.
Volume 225, 2025
2025 3rd International Conference on Financial Management and the Digital Economy (ICFMDE 2025)
Article Number 01007
Number of page(s) 5
Section Digital Economics & Behavior
DOI https://doi.org/10.1051/shsconf/202522501007
Published online 13 November 2025
  1. D. Luo, X. Zhuang, Z. Jiang, Fund grouping and stock price collapse: Evidence from the perspective of behavioral finance. Financ. Trade Res. 35, 94-110 (2024) [Google Scholar]
  2. F. Economou et al, Herding - an overview. Sci. Direct Top. (2017) [Google Scholar]
  3. J. Lu, J. Zhang, Y. Ang, The expansion and limitation of behavioral finance research methods. J. Mod. Account. Audit. 4, 39-44 (2023) [Google Scholar]
  4. M. Li, Application of behavioral finance theory in personal investment decision-making. China Sci. Technol. J. Database Econ. Manag. (1), 184-187 (2025) [Google Scholar]
  5. G. Soros, Financial Alchemy. Hainan Publishing House, (1999). [Google Scholar]
  6. J.A. Kennedy, C. Anderson, When overconfidence is revealed to others: Testing the Status-enhancement theory of overconfidence. Organ. Behav. Hum. Decis. Process. 13, 266-279 (2013) [Google Scholar]
  7. Y. He, The Trap of Anchoring Effect: A Study on the Impact of Anchoring Effect on Decision-Making. J. Behav. Financ. (4), 1629-1633 (2023) [Google Scholar]
  8. M. Lei, Behavioral Finance Theory and Its Application in Investment Decision. Int. Engl. Educ. Res. (11), 30-32 (2022) [Google Scholar]
  9. Y.R., R.S., The Effect of Overconfidence Bias and Representativeness Bias on Investment Decision With Risk Tolerance as Mediating Variable. Indikator J. Ilm. Manaj. Bisnis (5), 231-236 (2023) [Google Scholar]
  10. W. Wang, B. Liu, C. Zhang, Corporation Strategic Investment on Behavioral Finance. Chin. Bus. Rev. 6, 74-76,81 (2024). [Google Scholar]

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