Ab Hamid, M. R., Sami, W., & Sidek, M. M. (2017). Discriminant validity assessment: Use of Fornell & Larcker criterion versus HTMT criterion. In Journal of physics: Conference series (Vol. 890, No. 1, p. 012163). IOP Publishing.
doi: 10.1088/1742-6596/890/1/012163.
Akerlof, G. A., & Shiller, R. J. (2010). Animal spirits: How human psychology drives the economy, and why it matters for global capitalism.
Princeton university press. doi:
https://doi.org/10.2307/j.ctv36mk90z.
Allcott, H., & Gentzkow, M. (2017). Social media and fake news in the 2016 election. Journal of economic perspectives, 31(2), 211-236. doi: 10.1257/jep.31.2.211.
Baker, H. K., & Nofsinger, J. R. (Eds.). (2010). Behavioral finance: investors, corporations, and markets (Vol. 6). John Wiley & Sons. doi:10.1002/9781118258415.
Bernile, G., Bonaparte, Y., & Delikouras, S. (2025). Stock market experience and investor overconfidence: Do investors learn to be overconfident?.
Journal of Banking & Finance, 174, 107431. doi:
https://doi.org/10.1016/j.jbankfin.2025.107431.
Bikhchandani, S., Hirshleifer, D., & Welch, I. (1992). A theory of fads, fashion, custom, and cultural change as informational cascades.
Journal of political Economy, 100(5), 992-1026. doi:
https://doi.org/10.1086/261849.
Black, F. (1976). Studies of stock market volatility changes. Proceedings of the American Statistical Association, Business & Economic Statistics Section, 1976.
Blasco, N., Corredor, P., & Ferreruela, S. (2012). Does herding affect volatility? Implications for the Spanish stock market. Quantitative Finance, 12(2), 311-327. doi: https://doi.org/10.1080/14697688.2010.516766.
Camerer, C. F. (2011). Behavioral game theory: Experiments in strategic interaction. Princeton university press.
Chen, H., De, P., Hu, Y., & Hwang, B. H. (2014). Wisdom of crowds: The value of stock opinions transmitted through social media.
The review of financial studies, 27(5), 1367-1403. doi:
https://doi.org/10.1093/rfs/hhu001.
Chiou, W. J. P., Knewtson, H. S., & Nofsinger, J. R. (2019). Paying attention to social media stocks. International Review of Economics & Finance, 59, 106-119. doi: https://doi.org/10.1016/j.iref.2018.08.009.
Christie, W. G., & Huang, R. D. (1995). Following the pied piper: do individual returns herd around the market?. Financial analysts journal, 51(4), 31-37. doi: https://doi.org/10.2469/faj.v51.n4.1918.
Cialdini, R. B. (2007). Influence: The psychology of persuasion (Vol. 55, p. 339). New York: Collins.
Chen, N. F., Roll, R., & Ross, S. A. (1986). Economic forces and the stock market. Journal of business, 383-403.
doi: 10.1086/296344.
Christie, W. G., & Huang, R. D. (1995). Following the pied piper: do individual returns herd around the market?.
Financial Analysts Journal, 51(4), 31-37. Doi:
https://doi.org/10.2469/faj.v51.n4.1918.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research/Lawrence Erlbaum Associates.
Chen, H., De, P., Hu, Y., & Hwang, B. H. (2014). Wisdom of crowds: The value of stock opinions transmitted through social media.
The review of financial studies, 27(5), 1367-1403. Doi:
https://doi.org/10.1093/rfs/hhu001.
Daniel, K., Hirshleifer, D., & Subrahmanyam, A. (1998). Investor psychology and security market under‐and overreactions.
The Journal of Finance, 53(6), 1839-1885. Doi:
https://doi.org/10.1111/0022-1082.00077.
Froot, K. A., Scharfstein, D. S., & Stein, J. C. (1992). Herd on the street: Informational inefficiencies in a market with short‐term speculation.
The Journal of finance, 47(4), 1461-1484. Doi:
https://doi.org/10.2307/2328947.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error.
Journal of marketing research, 18(1), 39-50. Doi:
https://doi.org/10.2307/3151312.
Kacperczyk, M., & Schnabl, P. (2010). When safe proved risky: commercial paper during the financial crisis of 2007–2009. Journal of economic perspectives, 24(1), 29-50. Doi: 10.1257/jep.24.1.29.
Karimi, M., & Ahadzadeh, M. (2024). Macro Herding Behavior and Its Implications in Tehran Stock Exchange: An Analysis of Extreme Market Conditions. Iranian Journal of Finance, 8(3), 98-117. Doi: 10.30699/ijf.2024.462197.1475.
Li, T., Chen, H., Liu, W., Yu, G., & Yu, Y. (2023). Understanding the role of social media sentiment in identifying irrational herding behavior in the stock market. International Review of Economics & Finance, 87, 163-179.
doi:
https://doi.org/10.1016/j.iref.2023.04.016.
Shleifer, A., & Summers, L. H. (1990). The noise trader approach to finance. Journal of Economic perspectives, 4(2), 19-33.
doi: 10.1257/jep.4.2.19.
Signorelli, P. F. C. L., Camilo-da-Silva, E., & Barbedo, C. H. D. S. (2021). An Examination of Herding Behavior in the Brazilian Equity Market. BBR.
Brazilian Business Review, 18(3), 236-254. Doi:
http://dx.doi.org/10.15728/bbr.2021.18.3.1.
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial least squares structural equation modeling.
In Handbook of market research (pp. 587-632). Cham:
Springer International Publishing. Doi:
https://doi.org/10.1007/978-3-319-57413-4_15.
Tetlock, P. C. (2011). All the news that's fit to reprint: Do investors react to stale information?.
The Review of Financial Studies, 24(5), 1481-1512. Doi:
https://doi.org/10.1093/rfs/hhq141.
Van Dolder, D., & Vandenbroucke, J. (2024). Behavioral risk profiling: Measuring loss aversion of individual investors. Journal of banking & finance, 168, 107293. doi: https://doi.org/10.1016/j.jbankfin.2024.107293.
You, T. (2025). Confirmation bias and herding behavior across the housing markets. Humanities and Social Sciences Communications, 12(1), 1-14. doi: https://doi.org/10.1057/s41599-025-05021-5.