Investor Trading Behavior and Investors Sentiment and the Tone of Board Activity Report

Document Type : Research Paper

Authors

Department of Accounting, Faculty of Administrative and Economic Sciences, Ferdowsi University of Mashhad, Mashhad, Iran.

Abstract

Objective: The stock exchange with its operational mechanism, is a suitable place in a country's financial and economic structure and can work effectively in the direction of developing and expanding the country's liquidity resources. People consider the stock market to be related to behaviors such as greed, crises and assumptions. The increase in the number of active companies in the stock market, causes investors to face different options for investment, which has made it difficult and complicated to make appropriate investment decisions. Since people's decisions reflect their beliefs, distortions in beliefs will cause inappropriate decisions and subsequent harmful consequences for the decision maker. Therefore, the study of beliefs is considered as a fundamental issue because they have an important role in decision making. Behavioral finance theories challenge efficient market hypotheses by highlighting the important role of Investors' sentiment and psychological states in financial decisions. Behavioral financial studies the way people analyze and interpret information in order to make informed investment decisions and seeks to identify the effects of psychological processes on their beliefs and decisions. This field of knowledge is related to the psyche of investors and its role in financial decisions. All people have emotion that affects their decision-making and behavior. As an effective factor in their behaviors, investors' emotional tendency causes changes in the capital market and thus affects the volume of transactions and the stock market price. Another factor affecting the decision-making and investors' behavior is the published reports on companies' performance and financial status, such as the board activity report. These reports contain textual and quantitative information that includes a larger volume of the reports than quantitative information. One of the most important features of textual information is its tone, which in accounting refers to the amount of positive and negative text in reports. The tone of the reports published by managers is determined by the use of vocabulary and the combination of positive and negative words, which shows how management intends to inform outsiders. Therefore, the textual information used by management can be effective in investors' decisions.
Method: The method of the present study is applied in terms of purpose and classification according to a method, which is descriptive-correlational, and the data analysis method is regression analysis and panel data method. The statistical population of the research is the companies in the Tehran Stock Exchange from 2009 to 2021. The statistical sample selected from the statistical population includes 151 companies (1963 year-company) in the studied period. The principal component analysis (PCA) method measures the investors' sentiments. Also, the tone of the board activity report is measured through text mining and using MAXQDA 2021.
Results: The results show a positive and significant relationship between investor Sentiment and their trading behavior. Also, a negative and significant relationship was observed between the tone of the board activity report and investors' trading behaviour.
Conclusion: The behavioral finance perspective discusses the behavior of investors and its effect on the capital market. One of the primary topics of this view is how to adapt the investors' sentiment to their decision-making and trading behavior. Investors' sentiments create a belief that causes them to react based on the same belief and behave differently based on this belief. These different behaviors, in total, cause a change in the price trend in the stock market. On the other hand, based on the signaling theory, to eliminate information asymmetry between insider and outsider users, managers publish information about the company in various reports, especially board activity reports, which are the most important form of reports. This type of report contains numerical and textual information. Textual information and numerical information are important in investors' decision-making. Managers can influence the behavior and reaction of investors by using the tone of textual information in reports. This research assumes that investors' sentiment is related to the formation of their trading behavior in the capital market (first hypothesis). Also, there is a relationship between the tone of textual information that managers use in their activity reports and investors' trading behaviour (The second hypothesis). The type of tone that managers use to disclose the textual information of the board activity report affects the decision-making of the users of this report and causes them to show behavior in the stock market that reduces the abnormal volume of transactions in total. Considering that no research has been done to study the effect of the tone of board activity report on the behavior of investors, the findings of this research can greatly help to identify the effects of the tone used by the management in disclosing the textual information of this type and also to understand the effect of investors' emotions on their trading behavior.

Keywords

Main Subjects


اسدی، غلامحسین و مرشدی، فاطمه (1398). واکاوی تأثیر احساسات سرمایه‌گذاران بر خطر سقوط قیمت سهام در بورس اوراق بهادار تهران. چشم انداز مدیریت مالی، 25(1)، 30-9 https://jfmp.sbu.ac.ir/article_95697.html.
اصغری، ابراهیم؛ عباسیان فریدونی، محمدمهدی و نسل موسوی، سید حسین (1399). تأثیر گرایش‌های احساسی سرمایه‌گـذاران بـر درجه نقدشوندگی بازار سهام. پیشرفت‌های حسابداری، 12(78)، 27-1 https://jaa.shirazu.ac.ir/article_5673.html.
اصولیان، محمد و بازچی، مژگان (1398). سوگیری‌های رفتاری، حجم غیرنرمال معاملات و بازده غیرعادی سهام. مدیریت دارایی و تأمین مالی، 7(4)، 81ـ96 https://amf.ui.ac.ir/article_23759.html.
آقابابائی، محمدابراهیم و علییان، الهام (1401). بررسی تأثیر احساسات سرما یه گذاران بر نقدشوندگی بازار و نوسان آن در بورس اوراق بهادار تهران. تحقیقات مالی، 24(1)، 80-61 https://jfr.ut.ac.ir/article_87706.html.
آقابابائی، محمدابراهیم و مدنی، سعید (1400). بررسی احساسات سرمایه‌گذاران و همزمانی بازدهی سهام در بورس اوراق بهادار تهران. چشم‌انداز مدیریت مالی، 34، 115-95 https://jfmp.sbu.ac.ir/article_101475.html.
باری، سمانه (1399). طراحی مدل باور سرمایه‌گذاران در تصمیم‌های سرمایه‌گذاری و تعیین اولویت مقوله‌های شناسایی‌شده از دیدگاه خبرگان. رساله دکتری، دانشگاه اصفهان.
بشیری‌منش، نازنین (1395). نقش احساس در تصمیم‌گیری سرمایه‌گذاران. حسابداری و منافع اجتماعی، 6(2)، 121-93 https://jaacsi.alzahra.ac.ir/-article_2433.html.
پله، مولود؛ ایزدی‌نیا، ناصر و امیری، هادی (1398). بررسی تأثیر لحن گزارش فعالیت هیئت‌مدیره بر عملکرد آتی شرکت‌ها مبتنی بر دو دیدگاه علامت‌دهی و رفتار فرصت‌طلبانه مدیران. دوفصلنامه حسابداری رفتاری و ارزشی، 4(8)، 31-1 DOI: 10.29252/aapc.4.8.1.
تورچی، محمود و لاری دشت بیاض، محمود (1400). بررسی رابطه بین لحن گزارش فعالیت هیئت‌مدیره و پیش‌بینی ورشکستگی در شرکت‌های پذیرفته شده در بورس اوراق بهادار تهران. پژوهش‌های تجربی حسابداری، 11(40)، 157-137 https://journal.alzahra.ac.ir/article_5567.html.
حسینی، علی و مرشدی، فاطمه (1398). تأثیر احساسات سرمایه‌گذاران بر پویایی معاملات بورس اوراق بهادار تهران. پژوهش‌های حسابداری مالی و حسابرسی، 11(44)، 22-1 https://faar.ctb.iau.ir/article_670314.html.
داغبندان، الهیار؛ نجفی، علی اکبر و تسخیری، علیرضا (1394). بررسی تأثیر احساسات سرمایه‌گذار در تصمیم‌گیری‌های سرمایه‌گذاری در شرکت‌های پذیرفته شده در بورس اوراق بهادار تهران. سومین کنفرانس بین‌المللی حسابداری و مدیریت، تهران، https://civilica.com/doc/441719.
دموری، داریوش و خوشنود، هادی (1398). بررسی تأثیر حد نوسان و توقف نماد معاملاتی بر فعالیت معاملاتی، نقدشوندگی و نوسان‌پذیری در بورس اوراق بهادار تهران. تحقیقات مالی، 21(2)، 236-213 https://jfr.ut.ac.ir/article_72749.html.
رستمی‌جاز، حمید و تاری وردی، یداله (1398). تأثیر گرایش احساسی سرمایه‌گذاران و عوامل صرف ریسک بر ارزشیابی سهام. مهندسی مالی و مدیریت اوراق بهادار (مدیریت پرتفوی)، 10(39)، 111-91 https://fej.ctb.iau.ir/article_666206.html.
رهنمای رودپشتی، فریدون؛ نیکومرام، هاشم و نونهال‌نهر، علی‌اکبر (1391). ارزیابی تأثیر رویکردهای قضاوتی و شناختی زبان در گزارش‌های توضیحی حسابداری. بررسی‌های حسابداری و حسابرسی، 19(68)، 72-47 https://acctgrev.ut.ac.ir/article_29199.html.
سالارزهی، حبیب الله وفادار، میلاد و رضایی، ملیحه (1394). شناسایی عوامل مؤثر بر تمایلات سرمایه‌گذاران در خرید و فروش سهام. کنفرانس بین‌المللی جهت‌گیری‌های نوین در مدیریت، اقتصاد و حسابداری، تبریز، https://civilica.com/doc/454451.
صالحی، مهدی؛ نصیرزاده، فرزانه و رستمی، وهاب (1393). چالش‌های آموزش حسابداری در ایران از دید شاغلین حرفه و مراجع دانشگاهی. دانش حسابرسی، 14 (54) ، 86-67 https://ensani.ir/fa/article/334123.
غلامی جمکرانی، رضا؛ اکبری، زهرا و اختیاری، مسعود (1398). بررسی رابطه بین احساسات سرمایه‌گذار، جسارت در پیش‌بینی سود سهام و عملکرد آتی شرکت. دانش سرمایه‌گذاری، 8(30)، 286-271 https://jik.srbiau.ac.ir/article_14439.html.
قائمی، محمدحسین؛ ملکی، محدثه و رحیم‌پور، محمد (1401). محتوای اطلاعاتی گزارش‌های فعالیت ماهانه شرکت‌ها. مجله دانش حسابداری، 13(3)، 20-1 https://jak.uk.ac.ir/article_3125.html.
کاردان، بهزاد ودیعی، محمدحسین و ذوالفقارآرانی، محمدحسین (1396). نقش تمایلات رفتاری (احساسات و هیجانات) سرمایه‌گذاران در ارزش‌گذاری شرکت. مجله دانش حسابداری، 8(4)، 35-7 https://jak.uk.ac.ir/article_1859.html.
کامیابی، یحیی و جوادی‌نیا، امیر (1400). بررسی اثر تعدیل‌کننده توانایی مدیریت بر رابطه بین احساسات سرمایه‌گذاران و محافظه‌کاری حسابداری. بررسی‌های حسابداری و حسابرسی، 28(1)، 134-102 https://acctgrev.ut.ac.ir/article_80782.html.
کامیابی، یحیی و نصیری، سیده زهرا (1397). تأثیر تمایلات سرمایه‌گذار بر بازده مازاد در الگوی پنج‌عاملی فاما و فرنچ. مجله دانش حسابداری، 9(4)، 103-71 https://jak.uk.ac.ir/article_2180.html.
مجیدی زاویه، رضا و حاجی‌زاده، احسان (1400). بررسی تأثیر احساسات بر بازدهی سهام: شواهدی از واکنش به مطالب منتشره در فضای مجازی. چشم انداز مدیریت مالی، 11(36)، 89-57 https://jfmp.sbu.ac.ir/article_102286.html.
مهرانی، کیارش و معدنچی زاج، مهدی (1397). آزمون اثر احساسات و الگوی رفتار معاملات سرمایه‌گذاران بر بازده مازاد سهام در بورس اوراق بهادار تهران. راهبرد مدیریت مالی، 6(2)، 167-140 https://jfm.alzahra.ac.ir/article_3551.html.
میرعلی، مهدیه؛ غلامی مقدم، فائزه و حصارزاده، رضا (1397). بررسی رابطه لحن گزارشگری مالی با عملکرد آتی شرکت و بازده بازار. دانش حسابداری مالی، 5(3)، 98-81 https://www.sid.ir/paper/375858.
نیکومرام، هاشم؛ رهنمای رودپشتی، فریدون؛ هیتتی، فرشاد و یزدانی، شهره (1391). تأثیر سوگیری شناختی سرمایه‌گذاران بورس اوراق بهادار تهران بر ارزشیابی سهام. دانش مالی تحلیل اوراق بهادار، 5(1)، 81-65 https://jfksa.srbiau.ac.ir/article_3012.html.
هیبتی، فرشاد و مرادی، زهرا (1389). قیمت‌گذاری سهام در عرضه اولیه در بورس اوراق بهادار تهران. دانش مالی تحلیل اوراق بهادار، 3(6)، 48-19 https://jfksa.srbiau.ac.ir/article_4943.html.
یوسفی اصل، فرزانه؛ حاجیان، نجمه و صفری خالکیاسری، محبوبه (1401). بررسی رابطه بین گرایش‌های احساسی سرمایه گذاران و سوگیری در پیش بینی سود مدیران. پژوهش‌های تجربی حسابداری، 12(1)، 26-1 https://jera.alzahra.ac.ir/article_6226.html.
مؤمنی، منصور و فعال قیومی، علی (1389). تحلیل‌های آماری با استفاده از SPSS. تهران، انتشارات کتاب نو.
References
Aghababaei, M.E., & Aliyan, E. (2022). The impacts of investor sentiment on liquidity and its volatility: evidence from Tehran Stock Exchange. Financial Research Journal, 24(1), 61-80 https://jfr.ut.ac.ir/article_87706.html [In Persian].
Aghababaei, M.E., & Madani, S. (2021). Investor sentiment and stock return synchronicity in Tehran Stock Exchange. Financial Management Perspective, 11(34), 95-115 https://jfmp.sbu.ac.ir/article_101475.html [In Persian].
Amihud, Y. (2002). Illiquidity and stock returns cross-section and time-series effects. Journal of Financial Markets, 5(1), 31-56. https://www.sciencedirect.com/science/article/abs/pii/S1386418101000246
Asghari, E., Abbasian Fredoni, M. M., & Naslmosavi, S. (2020). The impact of investor sentiments on stock market liquidity. Journal of Accounting Advances, 12(1), 1-27 https://jaa.shirazu.ac.ir/article_5673.html [In Persian].
Assadi, G., & Morshedi, F. (2019). Investigating the effect of investor sentiment on the stock price crash risk in Tehran Stock Exchange. Financial Management Perspective, 9(25), 9-30 https://jfmp.sbu.ac.ir/article_95697.html [In Persian].
Azar, P.D., & Lo, A.W. (2016). The wisdom of twitter crowds: predicting stock market reactions to FOMC meetings via twitter feeds. The Journal of Portfolio Management, 42(5), 123-34 https://www.pmresearch.com/content/iijpormgmt/42/5/123.
Baker, M., & Stein, J.C. (2004). Market liquidity as a sentiment indicator. Journal of Financial Markets, 7(3), 271-299. https://doi.org/10.1016/j.finmar.2003.11.005.
Baker, M., & Wurgler, J. (2006). Investor sentiment and the cross‐section of stock returns. The Journal of Finance, 61(4), 1645-1680 https://doi.org/10.1111/j.1540-6261.2006.00885.x.
Bari, S. (2020). Designing the model of investors' belief in investment decisions and determining the priority of identified categories from the perspective of professional experts. Ph.D. Dissertation, University of Isfahan [In Persian].
Bashiri Manesh, N. (2016). The effect of feeling in decision making of investors. Scientific Journal of Accounting and Social Interests, 6(2), 93-121 DOI: 10.22051/ijar.2016.2433 [In Persian].
Birnberg, J.G. (2011). A proposed framework for behavioral accounting research. Behavioral Research in Accounting, 23(1), 1-43 https://doi.org/10.2308/bria.2011.23.1.1.
Boudt, K., & Thewissen, J. (2019). Jockeying for position in CEO letters: Impression management and sentiment analytics. Financial Management, 48(1), 77-115 https://doi.org/10.1111/fima.12219.
Burdekin, R.C.K., & Redfern, L. (2009). Sentiment effects on Chinese share prices and savings deposits: The post-2003 experience. China Economic Review, 20(2), 246-261 https://doi.org/10.1016/j.chieco.2008.12.002.
Chen, H., Chong, T.T.L., & Duan, X. (2010). A principal-component approach to measuring investor sentiment. Quantitative Finance, 10(4), 339-347 https://doi.org/10.1080/14697680903193389.
Chue, T.K., Gul, F. A., & Mian, G.M. (2019). Aggregate investor sentiment and stock return synchronicity. Journal of Banking & Finance, 108, 105628 https://doi.org/10.1016/j.jbankfin.2019.105628.
Cole, C.J., & Jones, C. L. (2005). Management discussion and analysis: A review and implications for future research. Journal of Accounting Literature, 24, 135-174 https://www.econbiz.de/Record/management-discussion-and-analysis-a-review-and-implications-for-future-research-cole-cathy/10007263220.
Dagbandan, A., Najafi, A.A., & Taskhiri, A. (2015). Investigating the impact of investor sentiments on investment decisions in companies listed on the Tehran Stock Exchange. Third International Conference on Accounting and Management, Tehran https://civilica.com/doc/441719 [In Persian].
Damoori, D., & Khoshnud, H. (2019). The Study of the Impact of Price Limits and Trading Halts on Trading Activities, Liquidity and Price Volatility in the Tehran Stock Exchange. Financial Research Journal, 21(2), 213-236 DOI: 10.22059/frj.2019.274235.1006811 [In Persian].
Davis, A., Piger, J., & Sedor, L. (2012). Beyond the numbers: measuring the information content of earnings press release language. Contemporary Accounting Research, 29(3), 845-868 https://doi.org/10.1111/j.19113846.2011.01130.x.
Davis, A.K., Piger, J.M., & Sedor, L.M. (2008). Beyond the numbers: Managers’ use of optimistic and pessimistic tone in earnings press releases. Working Paper, University of Oregon, https://ideas.repec.org/p/fip/fedlwp/2006-005.html.
Debata, B., Dash, S. R. & Mahakud, J. (2018). Investor sentiment and emerging stock market liquidity. Finance Research Letters, 26, 15-31. https://doi.org/10.1016/j.frl.2017.11.006.
Duz Tan, S., & Tas, O. (2020). Social media sentiment in international stock returns and trading activity. Journal of Behavioral Finance, 22(2), 221-234 https://doi.org/10.1080/15427560.2020.1772261.
Feldman, R., Govindaraj, S., Livnat, J., & Segal, B. (2008). The incremental information content of tone changes in management discussion and analysis. Working Paper, https://ssrn.com/abstract=1126962.
Ghaemi, M.H., Maleki, M., & Rahimpour, M. (2022). Information Content of Firms' Monthly Activity Reports. Journal of Accounting Knowledge, 13(3), 1-20 DOI: 10.22103/jak.2021.18010.3543 [In Persian].
Gholami Jamkarani, R., Akbari, Z., & Bakhtiari, M. (2019). Investigate the relationship between investor sentiment, courage in predicting dividends and future corporate performance. Journal of Investment Knowledge8(30), 271-286. https://jik.srbiau.ac.ir/article_14439.html?lang=en [In Persian].
Hajek, P., Olej, V., & Myskova, R. (2014). Forecasting corporate financial performance using sentiment in annual reports for Stakeholders decision-making. Technological and Economic Development of Economy, 20(4), 721-738. https://doi.org/10.3846/20294913.2014.979456.
Hales, J., Kuang, X.I., & Venkataraman, S. (2011). Who believes the hype? An experimental examination of how language affects investor judgments. Journal of Accounting Research, 49(1), 223-255 https://doi.org/10.1111/j.1475-679X.2010.00394.x.
Heibati, F., & Moradi, Z. (2010). Initial public offering pricing in Tehran Stock Exchange. Financial Knowledge of Securities Analysis, 3(2), 19-48 https://jfksa.srbiau.ac.ir/article_4943.html [In Persian].
Henry, E. (2008). Are investors influenced by how earnings press releases are written? The Journal of Business Communication, 45(4), 363-407 https://doi.org/10.1177/00219436083193.
Henry, E., & Leone, A.J. (2016). Measuring qualitative information in capital markets research: comparison of alternative methodologies to measure disclosure tone. The Accounting Review, 91(1), 153-178 https://doi.org/10.2308/accr-51161.
Hooghiemstra, R. (2010). Letters to the shareholders: A content analysis comparison of letters written by CEOs in the United States and Japan. The International Journal of Accounting, 45, 275-300 https://doi.org/10.1016/j.intacc.2010.06.006.
Hoseini, A., & Morshedi, A. (2019). The effect of investors' emotions on the trading dynamics of Tehran Stock Exchange. Financial Accounting and Auditing Research, 11(44), 1-22 https://faar.ctb.iau.ir/article_670314.html [In Persian]
Hribar, P., & McInnis, J. (2012). Investor sentiment and analysts’ earnings forecast errors. Management science, 58(2), 293-307 https://doi.org/10.1287/mnsc.1110.1356.
Huang, X., Teoh, S.H., & Zhang, Y. (2014). Tone management. The Accounting Review, 89(3), 1083-1113 https://www.jstor.org/stable/24468328.
Kamyabi, Y., & Javady Nia, A. (2021). Investigating the effect of moderating managerial ability on the relationship between investor sentiment and accounting conservatism. Accounting and Auditing Review, 28(1), 102-134 https://acctgrev.ut.ac.ir/article_80782.html?lang=en [In Persian].
Kamyabi, Y., & Nasiri, S. Z. (2019). Effects of Investor Sentiment on Excess Return in Fama-French Five-Factor Model. Journal of Accounting Knowledge, 9(4), 71-103 DOI: 10.22103/jak.2018.11841.2646 [In Persian].
Kardan, B., Vadeei, M.H., & Zolfaghar Arani, M.H. (2018). The role of behavioral tendencies (sentiment) of investors in valuation of the company. Journal of Accounting Knowledge, 8(4), 7-35 https://jak.uk.ac.ir/article_1859.html?lang=en [In Persian].
Kim, T., & Ha, A. (2010). Investor sentiment and market anomalies. 23rd Australasian Finance and Banking Conference, Electronic copy available at: http://ssrn.com/abstract=1663649.
Liao, T., Huang, C., and Wu, C. (2011). Do fund managers herd to counter investor sentiment? Journal of Business Research, 64(2), 207-212 https://doi.org/10.1016/j.jbusres.2010.01.007.
Liu, S. (2015). Investor sentiment and stock market liquidity. Journal of Behavioral Finance, 16(1), 51-67 https://doi.org/10.1080/15427560.2015.1000334.
Lopatta, K., Gloger, M.A., & Jaeschke, R. (2017). Can language predict bankruptcy? The explanatory power of tone in 10-K filings. Accounting Perspectives, 16(4), 315-343 https://doi.org/10.1111/1911-3838.12150.
Loughran, T., & McDonald, B. (2011). When is a liability not a liability? Textual analysis, dictionaries, and 10-Ks. The Journal of Finance, 66(1), 35-65 https://doi.org/10.1111/j.1540-6261.2010.01625.x.
Loughran, T., & McDonald, B. (2016). Textual analysis in accounting and finance: a survey. Journal of Accounting Research, 54(4), 1187-1230 https://doi.org/10.1111/1475-679X.12123.
Majidi Zavieh, R., & Hajizadeh, E. (2021). Investigating the impact of sentiments on stock returns: evidence from reactions to social media content. Financial Management Perspective, 11(36), 57-89 https://jfmp.sbu.ac.ir/article_102286.html [In Persian].
Mehrani, K., & Madanchi zaj, M. (2018). The test of the effect of investor trading behavior and investors` sentiment on excess return in Tehran Stock Exchange. Financial Management Strategy, 6(2), 140-167 DOI: 10.22051/JFM.2018.16581.1445 [In Persian].
Mirali, M., Gholami Mogadam, M., & Hrsarzadeh, R. (2018). Investigating the relationship between the tone of financial reporting and the company's future performance and market returns. Financial Accounting Knowledge, 5(3), 81-98 https://www.sid.ir/paper/375858 [In Persian].
Momeni, M., & Faal Gayumi, A. (2010). Statistical analysis using SPSS. Tehran, Ketab No. [In Persian].
Nikomaram, H., Rahnamay Rodposhti, F., Heibati, F., & Yazdini, SH. (2012). Investors’ cognitive biases effect on stock valuation. Financial Knowledge of Securities Analysis, 5(1), 65-81 https://jfksa.srbiau.ac.ir/article_3012.html [In Persian].
Osoolian, M., & Bazchi, M. (2019). Behavioral Bias, Abnormal Volume, and Abnormal Return. Journal of Asset Management and Financing, 7(4), 81-96 DOI: 10.22108/amf.2019.112224.1282 [In Persian].
Parkinson, M. (1980). The extreme value method for estimating the variance of the rate of return, Journal of Business, 53, 61-65 https://www.jstor.org/stable/2352357.
Peleh, M., Izadinia, N., & Amiri, H. (2019). Investigating the effect of the tone of board activity report on the future performance of companies based on two points of view: signaling and opportunistic behavior of managers. Journal of Value and Behavioral Finance, 4(8), 1-31 DOI: 10.29252/aapc.4.8.1 [In Persian].
Peng, D. (2019). Analysis of investor sentiment and stock market volatility trend based on big data strategy. In 2019 International Conference on Robots & Intelligent System (ICRIS), 269-272 https://ieeexplore.ieee.org/abstract/-document/8806504.
Rahnamay Roodposhti, F., Nikoomaram, H., & Nonahal Nahr, A.A. (2012). Evaluating the effects of language judgmental and cognitive approaches in accounting narratives. Accounting and Auditing Review, 19(2), 47-72 https://acctgrev.ut.ac.ir/article_29199.html [In Persian].
Rogers, J.L., Van Buskirk, A., & Zechman, S.L. (2011). Disclosure tone and shareholder litigation. The Accounting Review, 86(6), 2155-2183 https://doi.org/10.2308/accr-10137.
Rostami Jaz, H., Tariverdi, Y., & Yaghoobnezhad, A. (2019). The effect of investors' sentiments and risk premium factors on stocks valuation. Financial Engineering and Securities Management (Portfolio Management), 10(39), 91-111 https://fej.ctb.iau.ir/article_666206.html [In Persian].
Salarzehi, H., Vafadar, M., & Rezaei, M. (2014). Identifying the factors affecting investors' tendencies in buying and selling shares. International Conference on New Directions in Management, Economics and Accounting, Tabriz https://civilica.com/doc/454451 [In Persian].
Salehi, M., Nassir Zadeh, F., & Rostami, V. (2014). Challenges of accounting education in Iran from the perspective of professionals and academic authorities. Journal of Audit Science, 13(54), 67-86 https://ensani.ir/fa/article/334123 [In Persian].
Singh, A., Sharma, A., Singh, K.K., & Dhull, A. (2020). Sentiment analysis of social networking data using categorized dictionary. Journal of Information Technology Management, 12(4), 105-120 https://jitm.ut.ac.ir/article_78402.html.
Sprenger, T.O.A., Tumasjan, P.G. Sandner, & Welpe, I.M. (2014). Tweets and trades: The information content of stock microblogs. European Financial Management, 20(5), 926-57 https://doi.org/10.1111/j.1468-036X.2013.12007.x.
Sun, S., Luo, C., & Chen, J. (2017). A review of natural language processing techniques for opinion mining systems. Information Fusion, 36, 10-25 https://doi.org/10.1016/j.inffus.2016.10.004.
Tetlock P.C., Saar-Tsechansky, M., & Macskassy S. (2008). More than words: quantifying language to measure firms’ fundamentals. Journal of Finance, 63(3), 1437-1467 https://doi.org/10.1111/j.1540-6261.2008.01362.x.
Tetlock, P.C. (2011). All the News That’s Fit to Reprint: Do investors react to stale information? Review of Financial Studies, 24(5), 1481-512 https://doi.org/10.1093/rfs/hhq141.
Toorchi, M., & lari dashtebayaz, M. (2021). Tone of board activity report and bankruptcy prediction. Empirical Research in Accounting, 11(2), 137-158 https://journal.alzahra.ac.ir/article_5567.html [In Persian].
Wagner, A.F. (2020). What the stock market tells us about the post-COVID-19 world. Nature Human Behaviour, 4(5), 440-440 https://www.nature.com/articles/s41562-020-0869-y.
Wolk, H.I., Dodd, J.L., & Rozycki, J.J. (2008). Accounting theory: conceptual issues in a political and economic environment, Seventh Edition (Los Angeles, CA: Sage Publication, pp. ix-678), https://www.amazon.com/-Accounting-Theory-Conceptual-Political-Environment/dp/1412953456.
Yang, C., & Gao, B. (2014). The term structure of sentiment effect in stock index futures market. The North American Journal of Economics and Finance, 30, 171-182 https://doi.org/10.1016/j.najef.2014.09.001.
Yang, C., & Zhou, L. (2015). Investor trading behavior, investor sentiment and asset prices. North American Journal of Economics and Finance, 34, 42-62 https://doi.org/10.1016/j.najef.2015.08.003.
Yusefi asl, F., Hajian, N., & safari khalkiasari, M. (2022). Investor Sentiment and Management Earnings Forecast. Empirical Research in Accounting, 12(1), 1-26 DOI: 10.22051/jera.2021.27994.2523 [In Persian].