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| Title: | 探討管理階層討論與分析之情緒分析與股價之關聯性
Exploring the Association between Management Discussion and Analysis (MD&A) Sentiment Analytics and Stock Price |
| Authors: | 林勇光 |
| Contributors: | 諶家蘭
林勇光 |
| Keywords: | 管理階層討論與分析
事件研究法
累積異常報酬率
情緒分析
Management Discussion and Analysis(MD&A)
Event Study
Cumulative Abnormal Return(CAR)
Sentiment Analysis |
| Date: | 2021 |
| Issue Date: | 2021-09-02 15:36:35 (UTC+8) |
| Abstract: | 由於網路科技之發展演變，投資人會接受到各式各樣之文本資訊，並受到該訊息進一步影響他們的投資決策，惟並非任何訊息都會被投資人所信賴及使用，而本次研究之重點為台灣公司上市每年所發布年報中之管理階層討論與分析段落(MD&A)，年報為公司內部之管理人員所編製，其中內容有關公司目前及未來之業務發展，對於投資人來說信賴度以及影響勢必相較其他文本來的深遠。本次研究以人工判讀之方式建置了適用於中文財經領域以及台灣公司之管理階層討論與分析段落的「財經正負向情緒辭典」，使用情緒分析之單詞袋分類法研究年報中之MD&A文本，以觀察文本情緒與累積異常報酬率(CAR)間之關聯性。
本次研究結果顯示，MD&A段落之情緒中，以負面情緒語調在短、中、長期之事件窗期與CAR皆有較顯著之影響，間接證實在台灣股票市場中，管理階層討論與分析段落所包含之文本情緒與股價市場波動之間存在一定之關聯，進一步推測其對於投資人投資決策變化之關係。
Due to the development of internet technology, investors will receive a variety of textual information, from which they can assess the overall market trend, and the information will further affect their investment decisions, but not all information will be trusted and used by investors.The focus of this study is the management discussion and analysis (MD&A) paragraph in the annual report issued by Taiwanese listed firms every year. The annual report is compiled by the company’s internal management personnel. The content is about the company’s current and future business development, the trustworthiness and influence for investors are bound to be far-reaching compared to other texts. In this study, a "Finanical Sentiment Dictionary", which is suitable for discussion and analysis paragraphs in the Chinese financial sector and the management of Taiwanese companies, was constructed by manual interpretation. The bag of words classification method of sentiment analysis was used to study the MD&A in the annual report.We observe the correlation between the sentiment of the text and the Cumulative Abnormal Return (CAR).
The results of this research show that in the emotions discussed and analyzed by the management, the negative sentiment tone has a significant impact on the short, medium, and long-term time event windows and the CAR. Indirectly confirms that in the Taiwan market, there is a certain correlation between the sentiment of the text contained in the discussion and analysis paragraphs of the management and the fluctuation of the stock price market, and further speculates its relationship to the changes in investors` investment decisions. |
| Reference: | 湯明勳. (2019). 新聞情緒分析與系統風險之關聯性研究. 國立政治大學會計學系學位論文, 1-92.
Ahern, K. R., & Sosyura, D. (2014). Who writes the news? Corporate press releases during merger negotiations. The Journal of Finance, 69(1), 241-291.
Ahmad, K., Han, J., Hutson, E., Kearney, C., & Liu, S. (2016). Media-Expressed Negative Tone and Firm-Level Stock Returns. Journal of Corporate Finance, 37, 152-172. Retrieved from 10.1016/j.jcorpfin.2015.12.014
Amir, E., & Lev, B. (1996). Value-relevance of nonfinancial information: The wireless communications industry. Journal of Accounting and Economics, 22(1-3), 3-30.
Ammann, M., & Schaub, N. (2016). Social interaction and investing: Evidence from an online social trading network. Unpublished draft.
Arslan-Ayaydin, Ö., Boudt, K., & Thewissen, J. (2016). Managers set the tone: Equity incentives and the tone of earnings press releases. Journal of Banking and Finance, 72, S132-S147.
Baginski, S., Demers, E., Wang, C., & Yu, J. (2016). Contemporaneous verification of language: evidence from management earnings forecasts. Review of Accounting Studies, 21(1), 165-197.
Ball, R., & Kothari, S. P. (1991). Security Returns around Earnings Announcements. Accounting Review, 66 4, 718-738.
Bannier, C. E., Pauls, T., & Walter, A. (2017). CEO-speeches and stock returns.
Bian, S., Jia, D., Li, F., & Yan, Z. (2019). A New Chinese Financial Sentiment Dictionary for Textual Analysis in Accounting and Finance. Available at SSRN 3446388.
Bochkay, K., & Levine, C. B. (2019). Using MD&A to improve earnings forecasts. Journal of Accounting, Auditing and Finance, 34(3), 458-482.
Boylan, D. H. (2016). The innovative use of Twitter technology by bank leadership to enhance shareholder value. Purdue University,
Brown, S. V., & Tucker, J. W. (2011). Large-Sample Evidence on Firms` Year-over-Year MD&A Modifications. Journal of Accounting Research, 49 2, 309-346.
Carlini, F., Cucinelli, D., Previtali, D., & Soana, M. G. (2020). Don`t talk too bad! stock market reactions to bank corporate governance news. Journal of Banking and Finance, 121, 105962.
Chen, Y.-J., Wu, C.-H., Chen, Y.-M., Li, H.-Y., & Chen, H.-K. (2017). Enhancement of fraud detection for narratives in annual reports. International Journal of Accounting Information Systems, 26, 32-45.
Core, J. E. (2001). A Review of the Empirical Disclosure Literature: Discussion. Journal of Accounting and Economics, 31 1-3, 441-456.
Davis, A. K., & Tama-Sweet, I. (2012). Managers` Use of Language across Alternative Disclosure Outlets: Earnings Press Releases versus MD&A. Contemporary Accounting Research/Recherche Comptable Contemporaine, 29 3, 804-837.
Dechow, P. M., Sloan, R. G., & Sweeney, A. P. (1995). Detecting earnings management. Accounting Review, 193-225.
Demers, E. A., & Vega, C. (2014). The impact of credibility on the pricing of managerial textual content. Available at SSRN 1153450.
Durnev, A., & Mangen, C. (2020). The spillover effects of MD&A disclosures for real investment: The role of industry competition. Journal of Accounting and Economics, 70(1), 101299.
Dutta, S., Fuksa, M., & Macaulay, K. (2019). Determinants of MD&A sentiment in Canada. International Review of Economics and Finance, 60(C), 130-148.
Feldman, R., Govindaraj, S., Livnat, J., & Segal, B. (2010). Management`s Tone Change, Post Earnings Announcement Drift and Accruals. Review of Accounting Studies, 15 4, 915-953. Retrieved from 10.1007/s11142-009-9111-x
Ferguson, N. J., Philip, D., Lam, H. Y. T., & Guo, J. M. (2015). Media Content and Stock Returns: The Predictive Power of Press. Multinational Finance Journal, 19 1, 1-31. Retrieved
Ferris, S. P., Hao, Q., & Liao, M.-Y. (2013). The effect of issuer conservatism on IPO pricing and performance. Review of Finance, 17(3), 993-1027.
Firth, M., Wang, K., & Wong, S. M. (2015). Corporate transparency and the impact of investor sentiment on stock prices. Management Science, 61(7), 1630-1647.
Garcia, D. (2013). Sentiment during recessions. The Journal of Finance, 68(3), 1267-1300.
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.
Hájek, P., & Boháčová, J. (2016). Predicting abnormal bank stock returns using textual analysis of annual reports–a neural network approach. Paper presented at the International Conference on Engineering Applications of Neural Networks.
Hájek, P., Olej, & Myšková, R. (2014). Forecasting corporate financial performance using sentiment in annual reports for stakeholders’ decision-making. Technological and Economic Development of Economy, 20. doi:10.3846/20294913.2014.979456
Huang, X., Teoh, S. H., & Zhang, Y. (2014). Tone management. The Accounting Review, 89(3), 1083-1113.
Jegadeesh, N., & Wu, D. (2013). Word Power: A New Approach for Content Analysis. Journal of Financial Economics, 110 3, 712-729. Retrieved from 10.1016/j.jfineco.2013.08.018
Jiang, Y. (2011). Investor sentiment and stock market response to earnings announcement. Paper presented at the 2011 International Conference on Management and Service Science.
Kamara, A., Korajczyk, R., Lou, X., & Sadka, R. (2018). Short-horizon beta or long-horizon alpha? The Journal of Portfolio Management, 45(1), 96-105.
Koelbl, M. (2020). Is the MD&A of US REITs informative? A textual sentiment study. Journal of Property Investment and Finance.
Li, F. (2010). The Information Content of Forward-Looking Statements in Corporate Filings-A Naive Bayesian Machine Learning Approach. Journal of Accounting Research, 48(5), 1049-1102. doi:10.1111/j.1475-679X.2010.00382.x
Li, M., Wu, H., Xiao, M., & You, J. (2019). Beyond cheap talk: management`s informative tone in corporate disclosures. Accounting and Finance, 59(5), 2905-2959.
Liu, S., & Han, J. (2020). Media tone and expected stock returns. International Review of Financial Analysis, 70, 101522.
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.
Loughran, T., & McDonald, B. (2016). Textual Analysis in Accounting and Finance: A Survey. Journal of Accounting Research, 54 4, 1187-1230.
Lyle, M. R., Stephan, A., & Yohn, T. L. (2019). The speed of the market reaction to pre-open versus post-close earnings announcements. Kelley School of Business Research Paper(17-75).
Mayew, W. J., & Venkatachalam, M. (2012). The power of voice: Managerial affective states and future firm performance. The Journal of Finance, 67(1), 1-43.
Myšková, R., Hġjek, P., & Olej, V. (2018). Predicting Abnormal Stock Return Volatility Using Textual Analysis of News ? A Meta-Learning Approach. www.amfiteatrueconomic.ro, 20, 185. doi:10.24818/EA/2018/47/185
Ongkoseputro, M. F. (2019). MANAGEMENT’S DISCUSSION AND ANALYSIS ON MANUFACTURING COMPANIES LISTED IN INDONESIA STOCK EXCHANGE 2011-2014. RIMA-Research In Management and Accounting, 2(2), 104-119.
Park, K. H., Byun, J., & Choi, P. M. S. (2020). Managerial Overconfidence, Corporate Social Responsibility Activities, and Financial Constraints. Sustainability, 12(1). doi:ARTN 6110.3390/su12010061
Price, S. M., Doran, J. S., Peterson, D. R., & Bliss, B. A. (2012). Earnings conference calls and stock returns: The incremental informativeness of textual tone. Journal of Banking and Finance, 36(4), 992-1011.
Renault, T. (2017). Intraday online investor sentiment and return patterns in the US stock market. Journal of Banking and Finance, 84, 25-40.
Rich, K. T., Roberts, B., & Zhang, J. X. (2018). Linguistic Tone of Municipal Management Discussion and Analysis Disclosures and Future Internal Control Quality. Journal of Governmental and Nonprofit Accounting, Forthcoming.
Schwert, G. W. (1990). Stock market volatility. Financial Analysts Journal, 46(3), 23-34.
Tama-Sweet, I. (2009). Do managers alter the tone of their earnings announcements around stock option grants and exercises? University of Oregon,
Tandelilin, E. (2010). Portofolio dan Investasi, edisi pertama. Yogyakarta: Kanisius, 1(1).
Tetlock, P. C. (2007). Giving Content to Investor Sentiment: The Role of Media in the Stock Market. Journal of Finance, 62 3, 1139-1168.
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.
Xu, Q., Fernando, G., Tam, K., & Zhang, W. (2019). Financial report readability and audit fees: a simultaneous equation approach. Managerial Auditing Journal.
Yekini, L. S., Wisniewski, T. P., & Millo, Y. (2016). Market reaction to the positiveness of annual report narratives. The British Accounting Review, 48(4), 415-430. |
| Description: | 碩士
國立政治大學
會計學系
108353029 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0108353029 |
| Data Type: | thesis |
| DOI: | 10.6814/NCCU202101164 |
| Appears in Collections: | [會計學系] 學位論文
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