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    Title: 首次公開發行公司股票之初始報酬率與新聞情緒分析之關聯性研究
    THE ASSOCIATION BETWEEN IPO INITIAL RETURN AND NEWS SENTIMENT ANALYSIS
    Authors: 洪湘綺
    Hong, Siang Ci
    Contributors: 諶家蘭
    Seng, Jia Lang
    洪湘綺
    Hong, Siang Ci
    Keywords: 首次公開發行
    異常報酬
    新聞情緒
    情緒分析
    Initial public offerings
    Abnormal returns
    News sentiment
    Sentiment analysis
    Date: 2016
    Issue Date: 2016-07-20 16:40:31 (UTC+8)
    Abstract: 本篇研究專注於首次公開發行公司上市櫃初始交易日之異常報酬與新聞情緒兩 者間之關係。本研究建立情緒字典以判別新聞之正負情緒,並過濾出與首次公開發 行有關之新聞,利用本研究建立之情緒字典以過濾出正負情緒之詞組。利用正負情 緒詞組數量計算出三種新聞情緒變數,並採實證研究方法檢測三種新聞情緒變數與 首次公開發行公司之初始交易日之異常報酬兩者間之關係。根據本研究之實證結果, 發現初始交易日之前的新聞能影響首次公開發行之異常報酬,而相關新聞之情緒語 調亦和異常報酬有關。此外,本研究亦檢測三種情緒變數和三種傳統變數之交乘項 對異常報酬之影響,發現公司規模大小與首日交易量與情緒變數之交乘項會對初始 交易日之異常報酬有影響。總言論之,本研究對新聞會影響首次公開發行初始交易 日之異常報酬提供了實證證據。
    This study focuses on the relation between IPOs’ abnormal returns on initial trading days and news sentiment. To identify the tone of news, sentiment dictionary was established for this study, and news regarding IPO firms was picked out to count positive and negative words and phrases based on the sentiment dictionary. Using quantities of positive and negative words and phrases, three news variables were adopted and calculated. And linear regression was utilized to investigate the relation between IPOs’ abnormal returns on initial trading days and news sentiment. According to empirical results, I find that news prior to the IPO’s initial trading day can affect IPOs’ abnormal returns. The number of negative words and phrases is negatively related to the abnormal returns; the tone of news is positively related to the abnormal returns. Furthermore, I also investigated whether interaction terms of news variables and three control variables are related to abnormal returns on IPOs’ initial trading days. I find that interaction terms of the natural logarithm of firm size and two news variables and interaction terms of the natural logarithm of first-day trading volume and two news variables are related to abnormal returns. Overall, there is evidence that news can influence IPOs’ abnormal returns on initial trading days.
    Reference: Aggarwal, R., & Rivoli, P. (1990). Fads in the initial public offering market?. Financial Management, 45-57.
    Aissia, D. B. (2014). IPO first-day returns: Skewness preference, investor sentiment and uncertainty underlying factors. Review of Financial Economics, 23(3), 148-154.
    Azar, P. (2009). Sentiment analysis in financial news. Harvard University.
    Barber, B. M., & Odean, T. (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.
    Baron, D. P. (1982). A model of the demand for investment banking advising and distribution services for new issues. The Journal of Finance, 37(4), 955-976.
    Bautin, M., Vijayarenu, L., & Skiena, S. (2008, April). International Sentiment Analysis for News and Blogs. In ICWSM.
    Beatty, R. P., & Ritter, J. R. (1986). Investment banking, reputation, and the underpricing of initial public offerings. Journal of financial economics, 15(1), 213-232.
    BONDT, W. F., & Thaler, R. H. (1987). Further evidence on investor overreaction and stock market seasonality. The Journal of Finance, 42(3), 557-581.
    Cornelli, F., Goldreich, D., & Ljungqvist, A. (2006). Investor sentiment and pre‐ IPO markets. The Journal of Finance, 61(3), 1187-1216.
    Davis, A. K., Piger, J. M., & Sedor, L. M. (2006). Beyond the numbers: An analysis of optimistic and pessimistic language in earnings press releases (No. 2006-005). Federal Reserve Bank of St. Louis.
    Gao, Y. (2010). What comprises IPO initial returns: Evidence from the Chinese market. Pacific-Basin Finance Journal, 18(1), 77-89.
    Godbole, N., Srinivasaiah, M., & Skiena, S. (2007). Large-Scale Sentiment Analysis for News and Blogs. ICWSM, 7(21), 219-222.
    Hanley, K. W., & Hoberg, G. (2012). Litigation risk, strategic disclosure and the underpricing of initial public offerings. Journal of Financial Economics, 103(2), 235-254.
    Henry, E. (2008). Are investors influenced by how earnings press releases are written?. Journal of Business Communication, 45(4), 363-407.
    Jain, B. A., & Kini, O. (1994). The post‐issue operating performance of IPO firms. The journal of finance, 49(5), 1699-1726.
    Kong, D., Yang, S. N., & Li, X. R. (2013). What Determines IPO`s Initial Abnormal Returns?--Evidence from Chinese Growth Enterprise Market. International Journal of Intelligent Technologies & Applied Statistics, 6(4).
    Liu, L. X., Sherman, A. E., & Zhang, Y. (2009, October). Media coverage and IPO underpricing. In AFA 2009 San Francisco Meetings Paper.
    Ljungqvist, A., Nanda, V., & Singh, R. (2006). Hot Markets, Investor Sentiment, and IPO Pricing*. The Journal of Business, 79(4), 1667-1702.
    Loughran, T., & McDonald, B. (2013). IPO first-day returns, offer price revisions, volatility, and form S-1 language. Journal of Financial Economics, 109(2), 307-326.
    Loughran, T., & Ritter, J. R. (1995). The new issues puzzle. The Journal of finance, 50(1), 23-51.
    Lowry, M., & Schwert, G. W. (2002). IPO market cycles: Bubbles or sequential learning?. The Journal of Finance, 57(3), 1171-1200.
    Lowry, M., & Schwert, G. W. (2004). Is the IPO pricing process efficient?. Journal of Financial Economics, 71(1), 3-26.
    Nasukawa, T., & Yi, J. (2003, October). Sentiment analysis: Capturing favorability using natural language processing. In Proceedings of the 2nd international conference on Knowledge capture (pp. 70-77). ACM.
    Ofek, E., & Richardson, M. (2003). Dotcom mania: The rise and fall of internet stock prices. The Journal of Finance, 58(3), 1113-1137.
    Ritter, J. R. (1991). The long run performance of initial public offerings. The journal of finance, 46(1), 3-27.
    Ritter, J. R., & Welch, I. (2002). A review of IPO activity, pricing, and allocations. The Journal of Finance, 57(4), 1795-1828.
    Rock, K. (1986). Why new issues are underpriced. Journal of financial economics, 15(1), 187-212.
    Shiller, R. J. (1990). Speculative prices and popular models. The Journal of Economic Perspectives, 4(2), 55-65.
    Tetlock, P. C. (2007). Giving content to investor sentiment: The role of media in the stock market. The Journal of Finance, 62(3), 1139-1168.
    Tetlock, P. C., SAAR‐TSECHANSKY, M. A. Y. T. A. L., & Macskassy, S. (2008). More than words: Quantifying language to measure firms` fundamentals. The Journal of Finance, 63(3), 1437-1467.
    Yi, J., Nasukawa, T., Bunescu, R., & Niblack, W. (2003, November). Sentiment analyzer: Extracting sentiments about a given topic using natural language processing techniques. In Data Mining, 2003. ICDM 2003. Third IEEE International Conference on (pp. 427-434). IEEE.
    Zhang, J. (2015). Voluntary information disclosure on social media. Decision Support Systems, 73, 28-36.
    Description: 碩士
    國立政治大學
    會計學系
    103353020
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0103353020
    Data Type: thesis
    Appears in Collections:[Department of Accounting] Theses

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