A acurácia das previsões de lucro tem relação com os vieses presentes nos relatórios dos analistas? Um estudo no Brasil e EUA
DOI :
https://doi.org/10.4270/ruc.2025106Mots-clés :
Acurácia dos Analistas, Vieses Comportamentais, Racionalidade LimitadaRésumé
Esse estudo teve como objetivo analisar a relação entre os vieses comportamentais dos analistas financeiros e a acurácia das previsões de lucro ao considerar aspectos distintos do ambiente em que as empresas estão inseridas. Portanto, a pesquisa considerou a análise de empresas brasileiras e norte-americanas de capital aberto, nos trimestres de 2019, aplicando testes de regressão com dados em painel. Os vieses comportamentais foram obtidos via análise de textual dos relatórios dos analistas, por meio do software Diction®. Os resultados indicaram que há diferença na relação entre os vieses e a acurácia dos analistas quando se observam países com características distintas. Para o Brasil, os relatórios dos analistas com viés otimista sinalizam para os investidores menor acurácia na previsão de lucro. Por outro lado, nos EUA, os relatórios otimistas estão relacionados com maior acurácia, mas os relatórios com vieses de realismo e comunalidade apresentam menor acurácia. A pesquisa contribui com a literatura indicando variáveis que devem ser incorporadas aos modelos de previsão da acurácia dos analistas, além de sinalizar aos investidores os vieses presentes nos relatórios que estão relacionados com maior ou menor acurácia, de modo a contribuir com suas decisões de investimento.
Téléchargements
Références
Ari, I., & Koc, M. (2020). Economic growth, public and private investment: A comparative study of China and the united states. Sustainability, 12(6). https://doi.org/10.3390/su12062243
Ashraf, S., Félix, E. G. S., & Serrasqueiro, Z. (2020). Development and testing of an augmented distress prediction model: A comparative study on a developed and an emerging market. Journal of Multinational Financial Management, 100659 57–58. https://doi.org/10.1016/j.mulfin.2020.100659.
Ayres, D., Huang, X. S., & Myring, M. (2017). Fair value accounting and analyst forecast accuracy. Advances in accounting, 37 (1), 58-70. https://doi.org/10.1016/j.adiac.2016.12.004
Baik, B. (2006). Self-Selection Bias in Consensus Analysts’ Earnings Forecasts. Asia-Pacific Journal of Financial Studies, 35(6), 6-141.
Bordalo, P., Conlon, J. J., Gennaioli, N., Kwon, S. Y., & Shleifer, A. (2021). Memory and Probability. National Bureau of Economic Research Working Paper Series, 29273. https://doi.org/10.2139/ssrn.3926954.
Barth, M. E., Beaver, W. H., & Landsman, W. R. (2001). The relevance of the value relevance literature for financial accounting standard setting: another view. Journal of Accounting and Economics. 31(1-3), 77–104.
https://doi.org/10.1016/S0165-4101(01)00019-2.
Beckmann, D., Menkhoff, L., & Suto, M. (2008). Does culture influence asset managers’ views and behavior? Journal of Economic Behavior & Organization, 67(3-4), 624-643.
https://doi.org/10.1016/j.jebo.2007.12.001.
Behn, B. K., Choi, J. H., & Kang, T. (2008). Audit quality and properties of analyst earnings forecasts. The Accounting Review, 83(2), 327-349. https://doi.org/10.2308/accr.2008.83.2.327
Bénabou, R. (2009). Groupthink: Collective Delusions in Organizations and Markets. The Review of Economic Studies, 80(2), 429-462.
http://dx.doi.org/10.1093/restud/rds030 .
Beugelsdijk, S., & Frijns, B. (2010). A cultural explanation of the foreign bias in international asset allocation. Journal of Banking & Finance, 34, 2121-2131.
https://doi.org/ 10.1016/j.jbankfin.2010.01.020.
Biondi, Y., Giannoccolo, P., & Galam, S. (2012). Formation of share market prices under heterogeneous beliefs and common knowledge. Physica A: Statistical Mechanics and Its Applications, 391(22), 5532–5545.
https://doi.org/10.1016/j.physa.2012.06.015.
Boff, L. H., Procianoy, J. L., & Hoppen, N. (2006). O uso de informações por analistas de investimento na avaliação de empresas: à procura de padrões. Revista de Administração Contemporânea, 10(4), 169-192. DOI:
https://doi.org/10.1590/S1415-65552006000400009
Bradshaw, M. T., Drake, M. S., Myers, J. N., & Myers, L. A. (2012). A re-examination of analysts’ superiority over time-series forecasts of annual earnings. Review of Accounting Studies, 17, 944–968.
https://doi.org/0.1007/s11142-012-9185-8.
Brauer, M, & Wiersema, M. (2018). Analyzing Analyst Research: A Review of Past Coverage and Recommendations for Future Research. Journal of Management, 44(1), 218-248.
https://doi.org/10.1177/0149206317734900.
Bregu, K. (2020). Overconfidence and (Over)Trading: The Effect of Feedback on Trading Behavior. Journal of Behavioral and Experimental Economics, 88, 101598. https://doi.org/10.1016/j.socec.2020.101598.
Breuer, W., & Quinten, B. (2009). Cultural Finance. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1282068.
Broihanne, M. H., Merli, M., & Roger, P. (2014). Overconfidence, risk perception and the risk-taking behavior of finance professionals. Finance Research Letters, 11(2), 64–73. https://doi.org/10.1016/j.frl.2013.11.002
Brown, A., Lin, G. & Zhou, A. (2022). Analysts’ forecast optimism: The effects of managers’ incentives on analysts’ forecasts. Journal of Behavioral and Experimental Finance, 35, 1 - 14.
https://doi.org/10.1016/j.jbef.2022.100708.
Brown, L. D., & Caylor, M. L. (2005). A temporal analysis of quarterly earnings thresholds: Propensities and valuation consequences. Accounting Review, 80(2), 423–440. https://doi.org/10.2308/accr.2005.80.2.423.
Cai, H., & Qi, Z. (2021). Private conversation matters: Evidence from sell-side analyst reports after private meetings. North American Journal of Economics and Finance, 58, 101481, 1-16.
https://doi.org/10.1016/j.najef.2021.101481.
Campbell, S. D., & Sharpe, S. A. (2009). Anchoring Bias in Consensus Forecasts and Its Effect on Market Prices. Journal of Financial and Quantitative Analysis, 44(2), 369–390.
https://doi.org/10.1017/S0022109009090127
Chen, F. F., & West, S. G. (2008). Measuring individualism and collectivism: The importance of considering differential components, reference groups, and measurement invariance. Journal of Research in Personality, 42(2), 259–294. https://doi.org/10.1016/j.jrp.2007.05.006.
Chen, M., Zhu, Z., Han, P., Chen, B., & Liu, J. (2022). Economic policy uncertainty and analyst behaviours: Evidence from the United Kingdom. International Review of Financial Analysis, 79, 101906, 1-15.
https://doi.org/10.1016/j.irfa.2021.101906.
Chen, S., Lin, B., Lu, R., & Ma, H. (2021). Stock market openness and analyst forecast bias. Journal of Accounting Public Policy, 40, 106874. https://doi.org/10.1016/j.jaccpubpol.2021.106874
Chui, A. C. W., Titman, S., & Wei, K. C. J. (2010). Individualism and Momentum around the World. The Journal of Finance, 65(1), 361-392.
https://doi.org/10.1111/j.1540-6261.2009.01532.x.
Coën, A., Desfleurs, A., & L’Her, J. F. (2009). International evidence on the relative importance of the determinants of earnings forecast accuracy. Journal of Economics and Business, 61(6), 453-471.
https://doi.org/10.1016/j.jeconbus.2009.06.004.
Corredor, P., Ferrer, E., & Santamaria, R. (2013). Value of Analysts’ Consensus Recommendations and Investor Sentiment. Journal of Behavioral Finance, 14(3), 213-229.
https://doi.org/10.1080/15427560.2013.819805.
Dessí, R., & Zhao, X. (2018). Overconfidence, stability and investments. Journal of Economic Behavior & Organization, 145, 474–494. https://doi.org/10.1016/j.jebo.2017.11.030.
Drake, M., Moon, J. & Warren, J. (2024). Classifying Forecasts. Accounting Review, 99 (6), 129 - 156.
https://doi.org/10.2308/TAR-2023-0117.
Du, N., & Budescu, D. V. (2018). How (Over) Confident Are Financial Analysts? Journal of Behavioral Finance, 19(3), 308-318.
https://doi.org/10.1080/15427560.2018.1405004
Duran, M., & Stephen, S.. (2020). Internationalization and the capital structure of firms in emerging markets: Evidence from Latin America before and after the financial crisis. Research in International Business and Finance, 54, 1-11. https://doi.org/10.1016/j.ribaf.2020.101288
Ernstberger, J., Krotter, S., & Stadler, C. (2008). Analysts Forecast Accuracy in Germany: The Effect of Difference Accounting Principles and Changes of Accounting Principles. Business Research, 1, 26-53.
https://doi.org/10.1007/BF03342701
Etzioni A. (1993). The spirit of community: Rights, responsabilities, and the communitarian agenda. New York: Crown.
Etzioni, A. (2001). The monochrome society. Princeton and Oxford: Princeton University Press.
Fama, E. F. (1970). Efficient Capital Markets: A Review of Theory and Empirical Work. The Journal of Finance, 25(2), 383-471.
https://www.jstor.org/stable/2325486.
Ferreira, M. C., Assmar, E. M. L., & Souto, S. O. (2002). O individualismo e o coletivismo como indicadores de culturas nacionais: convergências e divergências teórico-metodológicas. Psicologia em Estudo, 7(1), 81–89.
https://doi.org/10.1590/S1413-73722002000100011
Frankel, R., & Li, X. (2004). Characteristics of a firm’s information environment and the information asymmetry between insiders and outsiders. Journal of Accounting and Economics, 37(2), 229–259.
https://doi.org/10.1016/j.jacceco.2003.09.004
Friehe, T., & Pannenberg, M. (2019). Overconfidence over the lifespan: Evidence from Germany. Journal of Economic Psychology, 74, 102207. https://doi.org/10.1016/j.joep.2019.102207
Friesen, G., & Weller, P. A. (2006). Quantifying cognitive biases in analyst earnings forecasts. Journal of Financial Markets, 9(4), 333–365. https://doi.org/10.1016/j.finmar.2006.07.001
Galanti, S., & Vaubourg, A. G. (2017). Optimism bias in financial analysts' earnings forecasts: Do commissions sharing agreements reduce conflicts of interest? Economic Modelling, 67, 325-337.
https://doi.org/10.1016/j.econmod.2017.02.001.
García-Meca, E., & Sánchez-Ballesta, J. P. (2006). Influences on financial analyst forecast errors: A meta-analysis. International Business Review, 15, 29-52. https://doi.org/10.1016/j.ibusrev.2005.12.003
Garcia, V. F., & Liu, L. (1999). Macroeconomic Determinants of Stock Market Development. Journal of Applied Economics, 2(1), 29–59. https://doi.org/10.1080/15140326.1999.12040532.
Geppert, J., & Lawrence, J. E. (2008). Predicting Firm Reputation Through Content Analysis of Shareholders’ Letter. Corporate Reputation Review, 11(4), 285–307. https://doi.org/10.1057/crr.2008.32.
Gervais, S., Heaton, J. B., & Odean, T. (2002). The Positive Role of Overconfidence and Optimism in Investment Policy. TheWharton School. University of Pennsylvania, 1-49.
Gervais, S. & Odean, T. (2001). Learning to Be Overconfident. The Review of Financial Studies, 14(1), 1-27.
https://www.jstor.org/stable/2696755
Green, E. G. T., Deschamps, J., & Páez, D. (2005). Variation of individualism and collectivism within and between 20 countries: a typological analysis. Journal of Cross-Cultural Psychology, 36(3), 321-339.
https://doi.org/10.1177/0022022104273654.
Griffin, D., & Tversky, A. (1992). The weighing of evidence and the determinants of confidence. Cognitive Psychology, 24(3), 411–435.
https://doi.org/10.1016/0010-0285(92)90013-R
Gu, Z., & Wu, J. S. (2003). Earnings skewness and analyst forecast bias. Journal of Accounting and Economics, 35(1), 5-29.
https://doi.org/10.1016/S0165-4101(02)00095-2.
Gulzar, T. & Ali, N. (2023). The Influence of Behavioral Biases on Investment Decisions; Moderating Role of Emotional Stability. Journal of Development and Social Sciences, 4(2), 692 - 708.
http://dx.doi.org/10.47205/jdss.2023.”
Hájek, P. (2016). Combining bag-of-words and sentiment features of annual reports to predict abnormal stock returns. Neural Comput & Applie, 29, 343-358.
https://doi.org/ 10.1007/s00521-017-3194-2.
Harris, A. J. L., & Hahn, U. (2011). Unrealistic Optimism About Future Life Events: A Cautionary Note. Psychological Review, 118(1), 135–154. https://doi.org/0.1037/a0020997.
Hart, R. P., & Carroll, C. E. (2015). Diction 7.1: The Text Analysis Program (pp. 4–6). Digitext Inc.
Healy, P. M., & Palepu, K. G. (2001). Information asymmetry, corporate disclosure, and the capital markets: A review of the empirical disclosure literature. Journal of Accounting and Economics, 31(1-3), 405-440.
https://doi.org/10.1016/S0165-4101(01)00018-0
Henry, E. (2008). Are Investors Influenced By How Earnings Press Releases Are Written? International Journal of Business Communication, 45(4), 363-407. https://doi.org/10.1177/0021943608319388.
Hillier, D., & Loncan, T. (2019). Political uncertainty and Stock returns: Evidence from the Brazilian Political Crisis. Pacific-Basin Finance Journal, 54, 1-12. https://doi.org/10.1016/j.pacfin.2019.01.004
Hilary, G., & Menzly, L. (2006). Does Past Success Lead Analysts to Become Overconfident? Management Science, 52(4), 489-500. https://www.jstor.org/stable/20110528
Hirshleifer, D., Levi, Y., Lourie, B., & Teoh, S. H. (2019). Decision fatigue and heuristic analyst forecasts. Journal of Financial Economics, 133, 83-98. https://doi.org/10.1016/j.jfineco.2019.01.005.
Hofstede, G. (1980). Motivation, leadership, and organization: Do American theories apply abroad? Organizational Dynamics, 9(1).
https://doi.org/10.1016/0090-2616(80)90013-3
Hou, D., Meng, Q., & Chan, K. C. (2021). Does short selling reduce analysts’ optimism bias in earnings forecasts? Research in International Business and Finance, 56, 101356. https://doi.org/10.1016/j.ribaf.2020.101356.
Hu, J., Long, W., Luo, L., & Peng, Y. (2021). Share pledging and optimism in analyst earnings forecasts: Evidence from China. Journal of Banking and Finance, 132, 106245, 1-17.
https://doi.org/10.1016/j.jbankfin.2021.106245.
Jacob, J., Lys, T. Z., & Neale, M. A. (1999). Expertise in forecasting performance of security analysts. Journal of Accounting and Economics, 28(1), 51-82. https://doi.org/10.1016/S0165-4101(99)00016-6
Jensen, M.C., & Meckling, W. H. (1976). Theory of the firm: managerial behavior, agency costs and ownership structure. Journal of Financial Economics, 3, 305-360. https://doi.org/10.1016/0304-405X(76)90026-X
Kafayat, A. (2014). Interrelationship of biases: effect investment decisions ultimately. Theoretical and Applied Economics, 21(6), 85-110.
Kahneman, D. (2012). Rápido e Devagar: duas formas de pensar. Rio de Janeiro: Objetiva.
Kasoga, P. (2021). Heuristic biases and investment decisions: multiple mediation mechanisms of risk tolerance and financial literacy—a survey at the Tanzania stock market. Journal of Money and Business, 1(2), 102-116.
https:/10.1108/jmb-10-2021-0037
Kim, I., Lee, S. & Ryou, J. (2024). Does climate risk influence analyst forecast accuracy? Journal of Financial Stability, 75, 1-17.
https:/10.1016/j.jfs.2024.101345.
Konteos, G., Konstatinidis, A., & Spinthiropoulos, K. (2018). Representativeness and Investment Decision Making. Journal of Business and Management, 20(2), 5-10. https:/10.9790/487X-2002050510.
Kothari, S. P., So, E., & Verdi, R. (2016). Analysts’ Forecasts and Asset Pricing: A Survey. The Annual Review of Financial Economics, 8, 197-219. https://doi.org/10.1146/annurev-financial-121415-032930.
Kratz, S., & Wennin, G. (2016). Anchoring bias in analysts’ EPS estimates – evidence from the Swedish stock market. Thesis. Lund University – School of Economics and Management. Department of Business Administration. Suécia.
Li, W. (2022). Disclosure of internal control material weaknesses and optimism in analyst earnings forecasts. International Journal of Accounting Information Systems, 44, 100545.
https://doi.org/10.1016/j.accinf.2021.100545.
Liang, D., Pan, Y., Du, Q., & Zhu, L. (2022). The information content of analysts’ textual reports and stock returns: Evidence from China. Financial Research Letters, 46, 102817.
https://doi.org/10.1016/j.frl.2022.102817.
Lim, T. (2001). Rationality and Analysts’ Forecast Bias. The Journal of Finance, 56(1), 369–385.
http://www.jstor.org/stable/222473.
Lima, M. P., & Almeida, V. D. S. (2015). Os analistas sell-side fazem boas previsões no Brasil? Brazilian Review of Finance, 13(3), 365. https://doi.org/10.12660/rbfin.v13n3.2015.35208
Lobo, G. J., Song, M., & Stanford, M. (2012). Accruals quality and analyst coverage. Journal of Banking and Finance, 36(2), 497–508. https://doi.org/10.1016/j.jbankfin.2011.08.006
Lu, W., Niu, G., & Zhou, Y. (2021). Individualism and financial inclusion. Journal of Economic Behavior & Organization, 183, 268–288. https://doi.org/10.1016/j.jebo.2021.01.008.
Luo, W., Guo, X., Zhong, S., & Wang. J. (2019). Environmental information disclosure quality, media attention and debt financing costs: Evidence from Chinese heavy polluting listed companies. Journal of Cleaner Production, 231: 268–77. https://doi.org/10.1177/0021943608319388.
Magnan, M., Menini, A., & Parbonetti, A. (2015). Fair value accounting: information or confusion for financial markets? Review of Accounting Studies, 20(1), 559-591. https://doi.org/10.1007/s11142-014-9306-7.
Maslow, A. H. (1943). A theory of human motivation. Psychological Review, 50(4), 370–396. https://doi.org/10.1037/h0054346
Marsden, A., Veeraraghavan, M., & Ye, M. (2008). Heuristics of Representativeness, Anchoring and Adjustment, and Leniency: Impact on Earnings’ Forecasts by Australian Analysts. Journal of Finance and Accounting, 47(2), 83-102. https://www.jstor.org/stable/40473457
Martins, V., Paulo, E., & Monte, P. (2016). the Accounting Earnings Management Exerts Influence on the Forecast Accuracy of Analysts for Brazil? Revista Universo Contábil, 55(81), 73–90.
https://doi.org/10.4270/ruc.2016322
Martinez, A. L. (2006). Como o mercado de capitais brasileiro reage a surpresa nos lucros? REAd-Revista Eletrônica de Administração, 12(3), 1-23.
McDonald, P., Ashton, K., Barratt, R., Doyle, S., Imeson, D., Meir, A., & Risser, G. (2015). Clinical realism: a new literary genre and a potential tool for encouraging empathy in medical students. BMC Medical Education, 15(1), 112.
https://doi.org/10.1186/s12909-015-0372-8
Mikhail, M. B., Walther, B. R., & Willis, R. H. (1997). Do Security Analysts Improve Their Performance with Experience? Journal of Accounting Research, 35, 131–157. https://doi.org/10.2307/2491458
Mohamed, H., Mirakhor, A., & Erbaş, S. N. (2019). Markets and Investment Behaviour. In Belief and Rule Compliance (Issue 1720, 69–100). Elsevier. https://doi.org/10.1016/B978-0-12-813809-0.00004-7.
Moore, D. A., Dev, A. S., & Goncharova, E. Y. (2018). Overconfidence Across Cultures. Collabra: Psychology, 4(1), 1-19.
https://doi.org/10.1525/collabra.153.
Oliveira, M. G., Azevedo, G., & Oliveira, J. (2021). The Relationship between the Company’s Value and the Tone of the Risk-Related Narratives: The Case of Portugal. Economies, 9(70), 2-28.
https://doi.org/10.3390/economies9020070.
Parveen, S., Satti, Z., Subhan, Q. & Jamil, S. (2020). Exploring market overreaction, investors’ sentiments and investment decisions in an emerging stock market. Borsa Istanbul Review, 20(3), 224–235.
https://doi.org/10.1016/j.bir.2020.02.002
Pastor, L., & Veronesi, P. (2013) Political uncertainty and risk premia. Journal of Financial Economics, 110(3), 520-545.
https://doi.org/10.1016/j.jfineco.2013.08.007
Paulo, E., Lima, G., & Lima, I. S. (2006). A influência da cobertura dos analistas financeiros sobre o gerenciamento de resultados das companhias abertas brasileiras. . In VI Congresso USP de Controladoria e Contabilidade, Anais..., São Paulo.
Perobelli, F. F. C., & Famá, R. (2003). Fatores Determinantes da Estrutura de Capital para empresas latino-americanas. Revista de Admnistração Contemporânea, 7(1), 9-35.
Pimenta, D. P.; Borsato, J. M. L. S.; Ribeiro, K. C. (2012). Um estudo sobre a influência das características sociodemográficas e do excesso de confiança nas decisões dos investidores, analistas e profissionais de investimento à luz das Finanças Comportamentais. REGE-Revista de Gestão, 19(2), 263-280. https://doi.org/10.57/rege462.
Piotr, T., & Sina, L. (2015). Stock market returns and the content of annual report narratives. Accounting Forum, 39(4), 281–294.
https://doi.org/10.1016/j.accfor.2015.09.001
Queiroz, A. D. S., Reis, M. O., & Rocha, J. S. (2016). Modelo Decisório no Mercado Financeiro: Um Estudo à Luz da Teoria dos Prospectos e da Racionalidade Limitada. Contabilidade, Gestão e Governança, 19(2), 211-229. http://dx.doi.org/10.21714/1984-3925_2016v19n2a3
Rahman, M. J., Zhang, J., & Dong, S. (2019). Factors affecting the accuracy of analyst’s forecasts: a review of the literature. Academy of Accounting and Financial Studies Journal. 23, 1–18.
https://ssrn.com/abstract=3610334.
Saad, M., & Samet, A. (2020). Collectivism and commonality in liquidity. Journal of Business Research, 116, 137–162.
https://doi.org/10.1016/j.jbusres.2020.04.012.
Saito, R., Villalobos, S. J. S., & Benetti, C. (2008). Qualidade das projeções dos analistas sell-side: evidência empírica do mercado brasileiro. Revista de Administração, 43(4), 356-369.
https://doi.org/10.1590/S0080-21072008000400006.
Schmitt, D. P., & Allik, J. (2005). Simultaneous Administration of the Rosenberg Self-Esteem Scale in 53 Nations: Exploring the Universal and Culture-Specific Features of Global Self-Esteem. Journal of Personality and Social Psychology, 89(4), 623–642. https://doi.org/10.1037/0022-3514.89.4.623.
Short, J. C., & Palmer, T. B. (2008). The Application of DICTION to Content Analysis Research in Strategic Management. Organization Reseach Methods, 11(4), 727-752. https://doi.org/10.1177/1094428107304534.
Sihombing, Y. & Prameswary, R. (2023). The effect of overconfidence bias and representativeness bias on investment decision with risk tolerance as mediating variable. Indikator: Jurnal Ilmiah Manajemen Dan Bisnis, 7(1), 1 - 12.
https://doi.org/ 10.22441/indikator.v7i1.18396
Silva Filho, A. C. D. C., Miranda, K. F., Lucena, W. G. L., & Machado, M. R. (2018). Vieses Comportamentais Influenciam as Previsões de Lucros dos Analistas de Mercado? Uma Análise no Mercado de Capitais Brasileiro. In XVIII Congresso USP de Controladoria e Contabilidade, Anais..., São Paulo.
Simon, H. A. (1955). A Behavioral Model of Rational Choice. The Quarterly Journal of Economics, 69(1), 99-118.
https://doi.org/10.2307/1884852
So, E. C. (2013). A new approach to predicting analyst forecast errors : Do investors overweight analyst forecasts ? Journal of Financial Economics, 108(3), 615–640. https://doi.org/10.1016/j.jfineco.2013.02.002
Spence, M. (1973). Job Market Signaling, The Quarterly Journal of Economics, 87(3), p. 355-374.
https://www.jstor.org/stable/1882010
Sydserff, R., & Weetman, P. (2002). Developments in content analysis: a transitivity index and DICTION scores. Accounting, Auditing & Accountability Journal, 15(4), 523-545. https://doi.org/10.1108/09513570210445886
Triandis, H. C. (1990). Aproximaciones teoricas y metodologicas al estudio del individualismo y el coletivismo. Revista de Psicologia Social y Personalidad, 6, 29-38.
Trueman, B. (2015). Analyst Forecasts and Herding Behavior. The Review of Financial Studies, 7(1), 97–124.
https://doi.org/10.1093/rfs/7.1.97
Tversky, A., & D. Kahneman. (1974). Judgment Under Uncertainty: Heuristics and Biases. Science, 185, 1124–1131.
https://doi.org/10.1126/science.185.4157.1124
Twedt, B., & Rees, L. (2012). Reading between the lines: An empirical examination of qualitative attributes of financial analysts’ reports. Journal of Accounting and Public Policy, 31(1), 1–21.
https://doi.org/10.1016/j.jaccpubpol.2011.10.010.
Wisniewski, T. P., & Yekini, L. S. (2015). Stock market returns and the content of annual report narratives. Accounting Forum 39(4), 281–294. http://dx.doi.org/10.1016/j.accfor.2015.09.001.
Yu, S., Zhang, J., & Qiu, M. (2020). Political uncertainty and analysts’ forecasts: Evidence from China. Financial Research Letters, 36, 101340 https://doi.org/10.1016/j.frl.2019.101340.
Téléchargements
Publié-e
Comment citer
Numéro
Rubrique
Licence
Os direitos autorais para artigos publicados nesta revista são do autor, com direitos de primeira publicação para a revista. Em virtude de aparecerem nesta revista de acesso público, os artigos são de uso gratuito, com atribuições próprias, em aplicações educacionais e não-comerciais. A revista permitirá o uso dos trabalhos publicados para fins não-comerciais, incluindo direito de enviar o trabalho para bases de dados de acesso público. Os artigos publicados são de total e exclusiva responsabilidade dos autores.
• O(s) autor(es) autoriza(m) a publicação do artigo na revista;
• O(s) autor(es) garante(m) que a contribuição é original e inédita e que não está em processo de avaliação em outra(s) revista(s);
• A revista não se responsabiliza pelas opiniões, ideias e conceitos emitidos nos textos, por serem de inteira responsabilidade de seu(s) autor(es);
• É reservado aos editores o direito de proceder ajustes textuais e de adequação do artigo às normas da publicação;
• O(s) autor(es) declaram que o artigo não possui conflitos de interesse.