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| Title: | 股票價格波動性與新聞情緒分析之關聯性研究
The Association between Stock Price Volatility and News Sentiment Analysis |
| Authors: | 許馨予
Syu, Sin Yu |
| Contributors: | 諶家蘭
Seng, Jia Lang
許馨予
Syu, Sin Yu |
| Keywords: | 股價波動性
新聞
情緒分析
Stock price volatility
News
Sentiment analysis |
| Date: | 2016 |
| Issue Date: | 2016-09-01 23:38:38 (UTC+8) |
| Abstract: | 財金新聞報導在現今社會中是最便利且即時的資訊來源，這些新聞可以使投資者及一般大眾即時獲得公司與管理階層發布的年度營運表現、財務狀況以及其他重要消息。在今日，投資者決定是否要投資一家公司時，除了參考外資、投信報告、財務報表外，也會閱讀新聞報紙。新聞報紙在傳播消息給投資大眾時扮演著重要的角色。隨著網路科技的發達，投資人可以接觸到許多財金新聞，並看到某些新聞上的關鍵字詞，進而直接影響投資人的買賣決策。因此本研究利用人工判讀擷取新聞關鍵字詞，判斷每個關鍵字詞對股市產生正向/負向的影響，進而探討股價波動性與財金新聞間之關聯性。
本研究以台灣62家上市公司為研究對象，樣本期間為2010年至2014年，來探討股價波動性與財金新聞間之關係。結果顯示，股價波動性與新聞有顯著相關，且股價波動性會受到當天、昨天以及前天的新聞所影響。再者，投資人的情緒(TONE)和股價波動性有顯著負相關、該公司被新聞報導之數量(QUANTITY)與股價波動性有顯著正相關。
Financial news articles are the most convenient and timely source of information in today’s world. These articles help investors and the general public obtain any company-specific information such as operational performance, financial condition, and other major issues almost instantly. Nowadays, most investors make their investment decisions not only on the basis of foreign investment reports, investment trust reports, and financial reports but also financial news. Newspapers play an important role in disseminating information to broad audience, especially to individual investors. With the advancement of information technology, investors are able to catch a lot of financial news articles. The specific keywords featured on such articles directly affect investors’ trading decisions. This study uses manual interpretation to extract the keywords. Next, this study determines the positive or negative sentiment of each keyword toward the stock market. Furthermore, this study focuses on the association between stock price volatility and news sentiment.
This study uses 62 listed companies in Taiwan Stock Exchange (TWSE) during the five-year period 2010-2014 to empirically examine the association between the stock price volatility and financial news. The results show that both financial fundamentals and news are associated with stock price volatility. In addition, the stock price volatility is affected by today’s news, the day before news, and the day before yesterday news. Furthermore, both TONE and the quantity of news (QUANTITY) have significant explanatory power for stock price volatility. |
| Reference: | Aggarwal, R. 1981. Exchange Rates and Stock Prices: A Study of U.S. Capital Markets under Floating Exchange Rates. Akron Business and Economics Review 12(12): 7-12.
Barber, B. M., and D. Loeffler. 1993. The ‘Dartboard’ column: Second-hand information and price pressure. Journal of Financial and Quantitative Analysis 28(2): 273-284.
Barber, B. M., and T. Odean. 2008. All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors. Review of Financial Studies 21(2): 785-818.
Benamara, F., C. Cesarano, A. Picariello, D. Reforgiato, and V. Subrahmanian. 2007. Sentiment analysis: Adjectives and adverbs are better than adjectives alone. In ICWSM: 203-206.
Cohen, K. J., W. L. Ness, J. H. Okuda, R. A. Schwartz, and D. K. Whitcomb. 1976. The determinants of common stock returns volatility: An international comparison. Journal of Finance 31(2): 733-752.
Da, Z., J. Engelberg, and P. Gao. 2011. In Search of Attention. The Journal of Finance 66 (5): 1461-1499.
Dell’Acqua, A., F. Perrini, and S. Caselli. 2010. Conference Calls and Stock Price Volatility in the Post- Reg FD Era. European Financial Management 16(2): 256-270.
Devitt, A. and K. Ahmad 2007. Sentiment Polarity Identification in Financial News: A Cohesion-Based Approach. Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics: 984-991.
De Haaff, M. 2010. Sentiment Analysis, Hard but Worth It!. Customerthink.
Davies, P. L., and M. Canes. 1978. Stock prices and the publication of second-hand information. Journal of Business 51(1): 43-56.
Engelberg, J., and C. A. Parsons. 2011. The Causal Impact of Media in Financial Markets. The Journal of Finance 66(1): 67-97.
Fama, E. F., and K. R. French. 1992. The cross-section of expected stock returns. The Journal of Finance 47(2): 427-465.
French, K. R., G. W. Schwert, and R. F. Stambaugh. 1987. Expected stock returns and volatility. Journal of Financial Economics 19(1): 3-29.
Ferguson N., J. M. Guo, H. Lam, and D. Philip. 2015. News Media Content and UK Stock Returns. Multinational Finance Journal 19(1): 1-31.
Fu, T., K. Lee, D. Sze, F. Chung, and C. Ng. 2008. Discovering the Correlation between Stock Time Series and Financial News. In Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology 1: 880-883.
Hussainey, K., C. O. Mgbame, and A. M. Chijoke- Mgbame. 2011. Dividend policy and share price volatility; UK evidence. The journal of risk finance 12(1): 57-68.
Kumar, R., S. P. Ferris, and D. M. Chance. 1991. The differential impact of federal reserve margin requirements on stock return volatility. The Financial Review 26(3): 343-366.
Kurihara, Y. 2006. The Relationship between Exchange Rate and Stock Prices during the Quantitative Easing Policy in Japan. International Journal of Business 11(4): 375-386.
Kim, Y. H., and F. Meschke. 2011. CEO Interviews on CNBC. In Fifth Singapore International Conference on Finance.
Khan, M. I., M. Amir, A. Qayyum, A. Nasir, and M. A. Khan. 2011. Can dividend decisions affect the stock prices: A case of dividend paying companies of KSE. International Research Journal of Finance and Economics 76 (68): 67-74.
Lamoureux, C. G., and W. D. Lastrapes. 1990. Heteroskedasticity in Stock Return Data: Volume versus GARCH Effects. Journal of Finance 45(1): 221-229.
Liu B., A. D. Iorio, and A. D. Silva. 2014. Do stock fundamentals explain idiosyncratic volatility? Evidence for Australian stock market. In European Financial Management Association 2014 Annual Meetings, Rome, ITALY.
Mohamad, S., and A. M. Nassir. 1993. Factors Associated with Stock Price Volatility and Evaluation of Gordon`s Share Valuation Model on the Kuala Lumpur Stock Exchange. Pertanika Journal of Social Sciences & Humanities 1(2): 179-186.
Masum, A. 2014. Dividend Policy and Its Impact on Stock Price – A Study on Commercial Banks Listed in Dhaka Stock Exchange. Global Disclosure of Economics and Business 3(1): 9-17.
Nguyen, V. D., B. Varghese, and A. Barker. 2013. The Royal Birth of 2013: Analysing and Visualising Public Sentiment in the UK Using Twitter. In Big Data, 2013 IEEE International Conference on :46-54.
Nazir, M. S., M. M. Nawaz, W. Anwar, F. Ahmed. 2010. Determinants of Stock Price Volatility in Karachi Stock Exchange: The Mediating Role of Corporate Dividend Policy. International Research Journal of Finance and Economics (55): 100-107.
Piškorec, M., N. Antulov-Fantulin, P. K. Novak, I. Mozetič, M. Grčar, I. Vodenska, and T. Šmuc. 2014. Cohesiveness in Financial News and its Relation to Market Volatility. Scientific Reports 4.
Schwert, G. W. 1990. Stock market volatility. Financial Analysts Journal 46(3): 2334.
Schwert, G. W. 1989. Why does stock market volatility change over time? Journal of Finance 44(5): 1115-1154.
Schwert, G. W., and P. J. Seguin. 1990. Heteroskedasticity in stock returns. Journal of Finance 45(4): 1129-1155.
Sadique, S., F. H. In, and M. Veeraraghavan. 2008. The impact of spin and tone on stock returns and volatility: Evidence from firm-issued earnings announcements and the related press coverage. Available at SSRN 1121231.
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., M. Saar Tsechansky, and S. Macskassy. 2008. More Than Words: Quantifying Language to Measure Firms` Fundamentals. The Journal of Finance 63(3): 1437-1467.
Wei, S. X., C. Zhang. 2004. Why did individual stocks become more volatile? Journal of Business 79(1): 259-292.
Wilson, T., Wiebe, J., and Hwa, R. 2006. Recognizing strong and weak opinion clauses. Computational Intelligence 22(2): 73-99.
Yu, Y., W. Duan, and Q. Cao. 2013. The impact of social and conventional media on firm equity value: A sentiment analysis approach. Decision Support Systems 55(4): 919–926.
Zhang, W., S. Skiena. 2010. Trading strategies to exploit blog and news sentiment. in: Proceedings of the International Conference on Weblogs and Social Media. In ICWSM. |
| Description: | 碩士
國立政治大學
會計學系
103353034 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0103353034 |
| Data Type: | thesis |
| Appears in Collections: | [會計學系] 學位論文
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