Investor and Managerial Sentiment and Stock Returns: An Integrative Literature Review of the Evidence, Measurement Approaches, and Emerging-Market Research Agenda
Authors
Finance and Investment, Coventry Business School/The Knowledge Hub Universities (Egypt)
Article Information
DOI: 10.47772/IJRISS.2026.100800757
Subject Category: FINANCE
Volume/Issue: 10/8 | Page No: 11156-11171
Publication Timeline
Submitted: 2026-08-30
Accepted: 2026-09-05
Published: 2026-09-17
Abstract
Investor sentiment is increasingly becoming a major topic of discussion and analysis within behavioral finance. It is regarded as a key driver of market growth. On the same note, management sentiment as manifested in its communications – along with its tone – convey hidden information about the overall business and market outcomes in the future, according to recent studies. The point of contention, however, is not whether investor and management sentiments, because they have, but rather, that each was studies separately. The existing studies on investor sentiments focus on markets and exchanges in terms of behaviors and beliefs. Current literature on management sentiments focuses on discourse, actual utterances, managerial biases, and communication content. Since the research on the field studies each discipline separately, the present paper attempts to connect both disciplines and review any evidence on any relationships they may have with return on investment particularly, in connection with stocks. For that purpose, the review is structured around answering four research questions: how is investor sentiment related to stock returns? Does managerial sentiment or tone contain information concerning future returns? How are the two forms of sentiment measured? Does investor sentiment change the way markets interpret managerial communication, particularly in emerging markets? The findings of the review suggest that market outcomes are connected to investor sentiment and managerial tone. Investor sentiment is a direct driver of stock market outcomes, subject to the way such sentiment has been revealed and the nature of investor, in addition to the details related to the market itself and research design. Management tone is perceived in two contrasting manners, relevant to the surrounding relations: managerial overoptimism is seen as denoting negative future outcomes which in turn require corrective measures; and effective and clear communication by management results in positive long-term outcomes. Either result is influenced by the tool of measurement for the tone or sentiment. Among the early tools were the traditional language dictionaries, before developing in more recent literature into the use of more complex and contextual language processing tools. Although more attention is given to investor and management sentiment analysis, emerging markets remain underrepresented in the literature. Egypt is a good example of this lack of representation, with limited literature on the interconnection between investor behavior and management tone. The concluding section of this review establishes an integrated conceptual framework and a research agenda for examining investor and managerial sentiments jointly in emerging markets, including the Egyptian Exchange
Keywords
investor sentiment; managerial sentiment; managerial tone; stock returns; behavioral finance; textual analysis
Downloads
References
1. Abdelaal, E. M. A. (2025). The role of annual reports narrative disclosure tone in predicting long term financial performance: Evidence from Egypt. Alexandria Journal of Accounting Research, 9(2), 35–63. https://doi.org/10.21608/aljalexu.2025.427154 [Google Scholar] [Crossref]
2. Aly, D., Hussainey, K., & El-Halaby, S. (2018). Tone disclosure and financial performance: Evidence from Egypt. Accounting Research Journal, 31(1), 63–74. https://doi.org/10.1108/ARJ-09-2016-0123 [Google Scholar] [Crossref]
3. Baker, M., & Wurgler, J. (2006). Investor sentiment and the cross-section of stock returns. Journal of Finance, 61(4), 1645–1680. [Google Scholar] [Crossref]
4. Baker, M., & Wurgler, J. (2007). Investor sentiment in the stock market. Journal of Economic Perspectives, 21(2), 129–151. [Google Scholar] [Crossref]
5. Barberis, N., Shleifer, A., & Vishny, R. (1998). A model of investor sentiment. Journal of Financial Economics, 49(3), 307–343. [Google Scholar] [Crossref]
6. Black, F. (1986). Noise. Journal of Finance, 41(3), 529–543. [Google Scholar] [Crossref]
7. Brown, G. W., & Cliff, M. T. (2004). Investor sentiment and the near-term stock market. Journal of Empirical Finance, 11(1), 1–27. [Google Scholar] [Crossref]
8. Da, Z., Engelberg, J., & Gao, P. (2015). The sum of all FEARS: Investor sentiment and asset prices. Review of Financial Studies, 28(1), 1–32. [Google Scholar] [Crossref]
9. Davis, A. K., Piger, J. M., & Sedor, L. M. (2012). Beyond the numbers: Measuring the information content of earnings press release language. Contemporary Accounting Research, 29(3), 845–868. [Google Scholar] [Crossref]
10. De Long, J. B., Shleifer, A., Summers, L. H., & Waldmann, R. J. (1990). Noise trader risk in financial markets. Journal of Political Economy, 98(4), 703–738. [Google Scholar] [Crossref]
11. Gric, Z., Bajzík, J., & Badura, O. (2023). Does sentiment affect stock returns? A meta-analysis across survey-based measures. International Review of Financial Analysis, 89, 102773. https://doi.org/10.1016/j.irfa.2023.102773 [Google Scholar] [Crossref]
12. Henry, E. (2008). Are investors influenced by how earnings press releases are written? Journal of Business Communication, 45(4), 363–407. [Google Scholar] [Crossref]
13. Heshmat, N., & Abdallah, H. (2019). Investor sentiment role on asset pricing in emerging markets during stock markets crisis: Application to Egyptian market using fuzzy regression. The Arab Journal of Administration, 39(4), 189–208. https://doi.org/10.21608/aja.2019.66924 [Google Scholar] [Crossref]
14. Huynh, N., De Mello, L., & Li, K. (2025). Evolution of investor sentiment: A systematic literature review and bibliometric analysis. International Review of Economics & Finance, 100, 104115. https://doi.org/10.1016/j.iref.2025.104115 [Google Scholar] [Crossref]
15. Jiang, F., Lee, J., Martin, X., & Zhou, G. (2019). Manager sentiment and stock returns. Journal of Financial Economics, 132(1), 126–149. https://doi.org/10.1016/j.jfineco.2018.10.001 [Google Scholar] [Crossref]
16. Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291. [Google Scholar] [Crossref]
17. Kamath, A. N., Shenoy, S. S., Abhilash, Subrahmanya Kumar, N., & Deekshitha. (2024). Overview of the nexus between investor sentiment-return relation and its antecedents: A systematic literature review. Global Business Review. https://doi.org/10.1177/09722629231211399 [Google Scholar] [Crossref]
18. Ke, Z. T., Kelly, B., & Xiu, D. (2020). Predicting returns with text data. Review of Financial Studies, 33(6), 2356–2392. [Google Scholar] [Crossref]
19. Loughran, T., & McDonald, B. (2011). When is a liability not a liability? Textual analysis, dictionaries, and 10-Ks. Journal of Finance, 66(1), 35–65. https://doi.org/10.1111/j.1540-6261.2010.01625.x [Google Scholar] [Crossref]
20. Metawa, N., Hassan, M. K., Metawa, S., & Safa, M. F. (2019). Impact of behavioral factors on investors’ financial decisions: Case of the Egyptian stock market. International Journal of Islamic and Middle Eastern Finance and Management, 12(1), 30–55. https://doi.org/10.1108/IMEFM-12-2017-0333 [Google Scholar] [Crossref]
21. Nyakurukwa, K., & Seetharam, Y. (2024). Sentimental showdown: News media vs. social media in stock markets. Heliyon, 10(9), e30211. https://doi.org/10.1016/j.heliyon.2024.e30211 [Google Scholar] [Crossref]
22. Nyakurukwa, K., & Seetharam, Y. (2025). Social media, traditional news and stock returns: A causal mediation analysis. Intelligent Systems in Accounting, Finance and Management. https://doi.org/10.1002/isaf.70012 [Google Scholar] [Crossref]
23. Page, M. J., McKenzie, J. E., Bossuyt, P. M., et al. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71 [Google Scholar] [Crossref]
24. Shleifer, A., & Vishny, R. W. (1997). The limits of arbitrage. Journal of Finance, 52(1), 35–55. [Google Scholar] [Crossref]
25. Tetlock, P. C. (2007). Giving content to investor sentiment: The role of media in the stock market. Journal of Finance, 62(3), 1139–1168. [Google Scholar] [Crossref]
26. Yadav, A., & Chakraborty, A. (2023). Synthesis of the effect of investor sentiment on stock returns: A systematic review. Global Business and Economics Review, 28(4), 425–446 [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- Financial Technology (Fintech): Current Research at The Cutting Edge
- Reforming Corporate Governance in Malaysia to Address Fraudulent Financial Reporting Cases
- Stock Market Efficiency and Economic Diversification in Nigeria and South Africa
- Financial Stability and Financial Performance of Small and Medium Tiered Deposit Taking Savings and Credit Cooperatives in Kenya.
- Regulator Sandboxes for DeFi: A Comparative Analysis of Policy Effectiveness in the EU, US, and Asia Pacific