English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113648/144635 (79%)
Visitors : 51688109      Online Users : 527
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 商學院 > 會計學系 > 學位論文 >  Item 140.119/101064
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/101064


    Title: 探討台指選擇權波動率指數與財經新聞之關聯性研究—運用內容分析技術
    Exploring the Relation between Taiwan Volatility Index and Financial News – A Content Analysis Approach
    Authors: 陳鵬仁
    Chen, Peng Ren
    Contributors: 諶家蘭
    Seng, Jia Lang
    陳鵬仁
    Chen, Peng Ren
    Keywords: 恐慌指數
    情緒波動
    財經新聞
    Panic index
    Sentiment volatility
    Financial news
    Date: 2016
    Issue Date: 2016-09-01 23:38:54 (UTC+8)
    Abstract:   本研究是針對台灣的財經新聞報導之情緒與TWVIX間的關聯性探討。研究樣本期間主要以2014年1 月至2014年12月為主,其相關之新聞報導資料來源為知識贏家(KMW)資料庫。本研究對財經新聞內容使用文字分析進行解讀其相關之情緒詞組,並依此建立相關之情緒字典,之後透過情緒字典進而擴大判讀更多的財經新聞報導,並研究其財經新聞情緒之波動與TWVIX波動之關聯性。
      本研究之主要發現有:當日的財經新聞報導之情緒與當日之TWVIX之波動無顯著關聯;而隨著財經新聞報導之資料累積,其情緒指標對於TWVIX則較有關聯性,但也應避免過度之資料累積,因為有可能反而會形成資料干擾;此外,也發現如果遇到非交易日之財經新聞報導也與之後TWVIX的波動有關聯。而悲觀的新聞情緒指標相對於樂觀的新聞情緒指標,其更具有顯著之關聯性。
      本研究嘗試將各變數使用「波動」之形式來作為新的情緒指標之衡量方法,因為投資市場使用各式各樣之波動形式之數字,然而情緒指標似乎沒有;因此,希望藉著「波動」之雙重意義,建立更好的情緒指標,來探討投資市場更多的可能關聯。
      The purpose of the present study was to investigate the correlation between the sentiment of Taiwanese financial news reports and the TWVIX. Research samples were collected from the KMW database between January and December 2014. A text analysis was conducted on the contents of the financial news reports to interpret relevant sentiment phrases. These phrases were then used to compile a sentiment dictionary. Thereafter, the dictionary was used to expand interpretations to a larger number of financial news reports in order to determine the correlation between the volatility of news sentiment and that of the TWVIX.
      Findings indicated no significant correlation between the financial news sentiment and the TWVIX volatility of the current trading day. The correlation between news sentiment and the TWVIX increased as the cumulative information of financial news reports increased. However, over-accumulation of financial news reports should be prevented to avoid information interference. Findings also indicated a significant correlation between financial news reports in non-trading days and the later volatility of the TWVIX. In addition, the pessimistic news sentiment indicators presented stronger correlation with the TWVIX than the optimistic news sentiment indicators.
      This study attempted to use the “volatility” of the various variables as a new measuring method for sentiment indicators. Different investment markets use different types of volatility values. However, few markets use sentiment indicators. Therefore, the present study aspired to use the dual meaning of “volatility” to establish a favorable sentiment indicator, which can then be used to examine the possible correlations of an increased number of investment markets.
    Reference: Birz, G., & Lott, J. R. (2011). The effect of macroeconomic news on stock returns: New evidence from newspaper coverage. Journal of Banking & Finance, 35(11), 2791-2800.
    Carretta, A., Farina, V., Martelli, D., Fiordelisi, F., & Schwizer, P. (2011). The impact of corporate governance press news on stock market returns. European financial management, 17(1), 100-119.
    Casarin, R., & Squazzoni, F. (2013). Being on the field when the game is still under way. The financial press and stock markets in times of crisis. PloS one,8(7), e67721.
    Ederington, L. H., & Lee, J. H. (1993). How markets process information: News releases and volatility. The Journal of Finance, 48(4), 1161-1191.
    Fernandes, M., Medeiros, M. C., & Scharth, M. (2014). Modeling and predicting the CBOE market volatility index. Journal of Banking & Finance, 40, 1-10.
    Fleming, J., Ostdiek, B., & Whaley, R. E. (1995). Predicting stock market volatility: A new measure. Journal of Futures Markets, 15(3), 265-302.
    LaakkOnen, H., & Lanne, M. (2013). The relevance of accuracy for the impact of macroeconomic news on exchange rate volatility. International Journal of Finance & Economics, 18(4), 339-351.
    Jylha P., J. Lyttinen and M. Suominen(2008), “Arbitrage Capital and Currency Carry Trade Returns“, working paper.
    Mitchell, M. L., & Mulherin, J. H. (1994). The impact of public information on the stock market. The Journal of Finance, 49(3), 923-950.
    Remorov, R. (2014). Panic Indicator for Measurements of Pessimistic Sentiments from Business News. International Business Research, 7(5).
    Smales, L. A. (2014). News sentiment and the investor fear gauge. Finance Research Letters, 11(2), 122-130.
    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.
    Toni Turner, Short-Term Trading in the New Stock Market, 2006, P60.
    Tsai, Jyun Ting. (2014). Financial News and VIX - A Text Analysis Approach.
    Whaley, R. E. (2000). The investor fear gauge. The Journal of Portfolio Management, 26(3), 12-17.
    Whaley, R. E. (2008). Understanding vix. Available at SSRN 1296743.
    Description: 碩士
    國立政治大學
    會計學系
    103353118
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0103353118
    Data Type: thesis
    Appears in Collections:[會計學系] 學位論文

    Files in This Item:

    File SizeFormat
    311801.pdf9906KbAdobe PDF2114View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback