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    政大機構典藏 > 商學院 > 財務管理學系 > 學位論文 >  Item 140.119/49648
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/49648


    Title: 文字背後的意含-資訊的量化測量公司基本面與股價(以中鋼為例)
    Behind the words - quantifying information to measure firms` fundamentals and stock return (taking the China steel corporation as example)
    Authors: 傅奇珅
    Fu, Chi Shen
    Contributors: 吳啟銘
    Wu, Chi Ming
    傅奇珅
    Fu, Chi Shen
    Keywords: 內容分析法
    文字資訊
    資訊內涵
    文件資料探勘
    關鍵資訊擷取
    資訊效果
    褒義詞
    貶義詞
    正面詞彙
    負面詞彙
    基本面分析
    股票報酬分析
    Content Analysis
    Textual Information
    Informative Content
    Text Mining
    Information Effect
    Critical Information Extraction
    Commendatory Term
    Derogatory Term
    Positive words
    Negative words
    Fundamental Analysis
    Stock Return Analysis
    Date: 2009
    Issue Date: 2010-12-08 15:46:52 (UTC+8)
    Abstract: 本研究蒐集經濟日報、聯合報、與聯合晚報的新聞文章,以中研院的中文斷詞性統進
    行結構性的處理,參考並延伸Tetlock、Saar-Tsechansky和Macskassy(2008)的研究方法,檢驗
    使用一個簡單的語言量化方式是否能夠用來解釋與預測個別公司的會計營收與股票報酬。有
    以下發現:
    1. 正面詞彙(褒義詞)在新聞報導中的比例能夠預測高的公司營收。
    2. 公司的股價對負面詞彙(貶義詞)有過度反應的現象,對正面詞彙(褒義詞)則有效率地充分
    反應。
    綜合以上發現,本論文得到,新聞媒體的文字內容能夠捕捉到一些關於公司基本面難
    以量化的部份,而投資者迅速地將這些資訊併入股價。
    This research collects all of the news stories about China Steel Corporation from
    Economic Daily News, United Daily News, and United Evening News. These articles I collect
    are segmented by a Chinese Word Segmentation System of Academia Sinica and used by the
    methodology of Tetlock, Saar-Tsechansky, and Macskassy(2008). I examine whether a simple
    quantitative measure fo language can be used to predict individual firms’ accounting sales and
    stock returns. My two main findings are:
    1. the fraction of positive words (commendatory term) in firm-specific news stories forecasts
    high firm sales;
    2. firm’s stock prices briefly overreaction to the information embedded in negative words
    (Derogatory term); on the other hand, firm’s stock prices efficiently incorporate the
    information embedded in positive words (commendatory term).
    All of the above, we conclude this linguistic media content captures otherwise hard-toquantify
    aspects of firms’ fundamentals, which investors quickly incorporate into stock prices.
    Reference: Bernard, V. L. and J. K. Thomas (1989). "Post-Earnings-Announcement Drift: Delayed Price
    Response or Risk Premium?" Journal of Accounting Research 27(3): 1-36.
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    1681-1713.
    Cutler, D. M., J. M. Poterba, et al. (1989). "What Moves Stock-Prices." Journal of Portfolio
    Management 15(3): 4-12.
    Davis, A. K., J. M. Piger, et al. (2006). Beyond the numbers: An analysis of optimistic and
    pessimistic language in earnings press releases. Working paper, Federal Reserve Bank of
    St. Louis.
    Fama, E. F., andKenneth R. French (1992). "The cross-section of expected stock returns." Journal
    of Finance 47.
    Fama, E. F. and K. R. French (1993). "Common risk factors in the returns on stocks and bonds."
    Journal of Financial Economics 33(1): 3-56.
    Hollander, S., M. Pronk, et al. (2010). "Does Silence Speak? An Empirical Analysis of Disclosure
    Choices During Conference Calls." Journal of Accounting Research 48(3): 531-563.
    Jegadeesh, N. and S. Titman (1993). "Returns to Buying Winners and Selling Losers:
    Implications for Stock Market Efficiency." Journal of Finance 48(1): 65-91.
    Li, F. (2006). Do stock market investors understand the risk sentiment of corporate annual
    reports? Working paper, University of Michigan.
    Roll, R. W. (1988). "R-squared." Journal of Finance 43: 541-566.
    Shiller, R. J. (1981). "Do Stock-Prices Move Too Much to Be Justified by Subsequent Changes in
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    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, et al. (2008). "More than words: Quantifying language to
    measure firms` fundamentals." Journal of Finance 63(3): 1437-1467.
    石慧妤 (2009). 應用企業年報中之文字資訊於盈餘預測之研究, 臺灣大學會計學研究所(未出版
    碩士論文).
    翁韻婷 (2009). 企業年報文字資訊影響分析師預測之研究, 臺灣大學會計學研究所(未出版碩士
    論文).
    郭先珍等編 (1996[民85]). 常用褒貶義詞語詳解詞典. 中國語言--修辭--字典,辭典, 北京:商務出
    版:新華發行.
    陳景揆 (2000). 探勘中文新聞文件中的概念關聯及趨勢, 雲林科技大學資訊管理研究所(未出版
    碩士論文).
    廖思雯 (2007). 媒體報導會影響股票市場對公司盈餘宣告的反應嗎?以金融業為例, 國立東華
    大學國際經濟研究所(未出版碩士論文).
    鍾尚倫 (2009). 新聞資訊與股票市場動態之關連性-報紙資訊對法人持股以及個股報酬率的影
    響, 臺灣大學商學研究所(未出版碩士論文).
    Description: 碩士
    國立政治大學
    財務管理研究所
    97357034
    98
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0097357034
    Data Type: thesis
    Appears in Collections:[財務管理學系] 學位論文

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