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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 胡星陽(Shing-Yang Hu) | |
dc.contributor.author | Yu-Hao Chen | en |
dc.contributor.author | 陳昱豪 | zh_TW |
dc.date.accessioned | 2021-05-13T06:41:09Z | - |
dc.date.available | 2018-07-07 | |
dc.date.available | 2021-05-13T06:41:09Z | - |
dc.date.copyright | 2017-07-07 | |
dc.date.issued | 2017 | |
dc.date.submitted | 2017-06-30 | |
dc.identifier.citation | [1]. Antweiler, W. and M. Z. Frank (2001), “Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards”, Journal of Finance, 59(3), 1259-1294.
[2]. Baker, M. and J. C. Stein (2004), “Market liquidity as a sentiment indicator”, Journal of Financial Markets, 7(3), 271-299 [3]. Baker, M. and J. Wurgler (2007), “Investor sentiment in the stock market”, Journal of Economic Perspectives, 21(2), 129-151. [4]. 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. [5]. Black, F. (1986), “Noise”, Journal of Finance, 41(3), 528-543. [6]. Brown, G. W. and M. T. Cliff (2004), “Investor sentiment and the near-term stock market”, Journal of Empirical Finance, 11(1), 1-27. [7]. Chan, W. S. (2001), “Stock price reaction to news and no-news: drift and reversal after headlines”, Journal of Financial Economics, 70(2), 223-260. [8]. Conrad, J., A. Hameed and C. Niden (1994), “Volume and Autocovariances in Shorthorizon Individual Security Returns”, Journal of Finance, 49, 1305-1330. [9]. Davies, P. L. and M. Canes (1978), “Stock Prices and the Publication of Second-Hand Information”, Journal of Business, 51, 43-56. [10]. Fang, L. and J. Peress (2009), “Media coverage and the cross‐section of stock returns”, Journal of Finance, 64(5), 2023-2052. [11]. Fisher, K. L. and M. Statman (2000), “Investor Sentiment and Stock Returns”, Financial Analysts Journal, 56(2), 16-23. [12]. Granger, C. W. J.(1969), “Investigating Causal Relations by Econometric Models and Cross-spectral Methods”, Econometrica, 37(3), 424-438. [13]. Hong, H., T. Lim, J. C. Stein (2000), “Bad news travels slowly: Size, analyst coverage, and the profitability of momentum strategies”, Journal of Finance, 55, 265-295. [14]. Jang, W. Y. (2007), “Media Exposure or Media Hype: Evidence from Initial Public Offering Stocks in Taiwan”, Journal of Media Economics, 20(4), 259-287. [15]. Ku, L. W. and H. H. Chen (2007), “Mining Opinions from the Web: Beyond Relevance Retrieval”, Journal of American Society for Information Science and Technology, 58(12), 1838-1850. [16]. Lim, T. (2001), “Rationality and Analysts' Forecast Bias”, Journal of Finance, 56, 369-385. [17]. Liu, P., S. D. Smith and A. A. Syed (1990), “Stock price reactions to the Wall Street Journal's securities recommendations”, Journal of financial and quantitative analysis, 25(3), 399-410. [18]. Luo, J. S. and C. A. Li (2008), “Futures Market Sentiment and Institutional Investor Behavior in the Spot Market: The Emerging Market in Taiwan”, Emerging Market Finance and Trade, 70-86. [19]. Mitchell, J. (2001), “Clustering and psychological barriers: the importance of numbers”, Journal of Futures Markets, 21(5), 395-428. [20]. Odean, T. (1998), “Are Investors Reluctant to Realize Their Losses?”, Journal of Finance, 53(5), 1775-1798. [21]. Odean, T. (1998), “Volume, Volatility, Price, and Profit When All Traders Are Above Average”, Journal of Finance, 53(6), 1887-1934. [22]. Shefrin, H. and M. Statman (1985), “The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence”, Journal of Finance, 40(3), 777-790. [23]. Shiller, R. J., S. Fischer and B. M. Friedman (1984), “Stock Prices and Social Dynamics”, Brookings Papers on Economic Activity, 1984(2), 457-510. [24]. Simon, D. P. and R. A. Wiggins (2001), “S&P futures returns and contrary sentiment indicators”, Journal of Futures Markets, 21(5), 447-462. [25]. Solomon, D. H. (2012), “Selective Publicity and Stock Prices”, Journal of Finance, 67(2), 599-638. [26]. Tetlock, P. C. (2007), “Giving Content to Investor Sentiment: The Role of Media in the Stock Market”, Journal of Finance, 62(3), 1139-1168. [27]. Tetlock, P. C., M. Saar-Tsechansky and S. Macskassy (2008), “More Than Words: Quantifying Language to Measure Firms' Fundamentals”, Journal of Finance, 63(3), 1437-1467. [28]. Tversky, A. and D. Kahneman (1973), “Availability: A heuristic for judging frequency and probability”, Cognitive Psychology, 5(2), 207-232. [29]. 呂家萱 (2014),「新聞頻率、散戶投資人情緒與股價共動性」,《臺灣大學財務金融學研究所學位論文》,1-46。 [30]. 周賓凰、張宇志、林美珍 (2007),「投資人情緒與股票報酬互動關係」,《證券市場發展季刊》,19(2),153-190。 [31]. 林宜萱 (2013),財經領域情緒辭典之建置與其有效性之驗證-以財經新聞為元件,《臺灣大學會計學研究所學位論文》,1-60。 [32]. 許溪南、郭玟秀、鄭乃誠 (2005),「投資人情緒與股價報酬波動之互動關係:台灣股市之實證」,《台灣金融財務季刊 》,6(3),107-121。 [33]. 鄭高輯 (2009),「投資人情緒對投機型股票報酬之影響 」,《國立臺北大學企業管理學系碩士論文》,1-57。 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/2506 | - |
dc.description.abstract | 報章媒體時常釋出正負面兩極的新聞,新聞多寡是否暗示著投資人注意股市的程度進而預告成交量的增減,抑或是投資者是否會因為消息較為正面而增加交易呢?然而新聞來源眾,本研究主要針對經濟日報的頭版、國際版、兩岸版、金融版和上市櫃公司版等五大版面的標題,探討新聞量、新聞情緒和含有數字的新聞量是否對台股上市公司成交量有正面的貢獻,並進一步加入了投資人情緒觀察差異。資料處理近四萬筆新聞,使用語意分析透過情緒字典將標題資料分類,最後採用多元迴歸、混合迴歸及固定效果模型進行實證。
實證結果顯示新聞報紙標題確實會影響成交量,研究發現當新聞量越高或報導越正面時,成交量明顯增加。本研究認為新聞情緒的部分,經濟日報傾向正面報導且正面新聞對成交量影響之效果優於負面新聞。而新聞標題內含有數字之資訊相較於其他變數,對投資人而言吸引力不大,論個別模型下數字資訊多寡則會影響成交量。本文比較不同版面,其中上市櫃版面為最主要影響,而頭版則不顯著。上述結論再加入投資人情緒後不會改變,其中機構法人情緒不顯著,而其餘情緒並無法區分效果大小差異。此外,在高散戶投資人情緒下,新聞對於成交量的影響更勝於低散戶投資人情緒。最後,在不同產業分組下組間具有顯著差異,而新聞和投資人情緒仍會影響成交量。 | zh_TW |
dc.description.abstract | Media coverage often released positive or negative news to public. Did the news amount imply that the degree of investor’s attention could predict the changing of stock’s trading volume or not? Did investor raise his transactions because of more positive news or not? This thesis only discussed the news headline about the page like front, global, cross-strait, finance and listed company. In this article, we studied whether news which were the volume of news, news sentiment and the volume of the news contained number could have the positive impact to trading volume of TAIEX or not? The news headline about forty thousand data were used to run sentiment analysis by both sentiment dictionary and programing.
The empirical result was that the headline in Economic Daily News actually had an influence on the trading volume of TAIEX. When the newspaper was higher amount or more positive, the trading volume would increase. According to this article, Economic Daily News tended to report positive news. While news was positive, the impact of it on the trading volume was bigger. Furthermore, investor paid the lowest attention to the news title contained numbers than other news. However, all news factors based on the separate individual model could affected trading volume. The result adding the variable of investor sentiment wasn’t changed. Institutional investor sentiment was statistically insignificant, but the other two weren’t. However, the result wasn’t able to identify the size of effect between them. Moreover, news’ effect on trading volume tended to be stronger when individual investor sentiment was high. | en |
dc.description.provenance | Made available in DSpace on 2021-05-13T06:41:09Z (GMT). No. of bitstreams: 1 ntu-106-R04723055-1.pdf: 2174854 bytes, checksum: 0f9d156765736fed1a19d2d5047138b9 (MD5) Previous issue date: 2017 | en |
dc.description.tableofcontents | 謝辭 i
中文摘要及關鍵詞 ii Abstract iii 目 錄 iv 圖表目錄 v 第一章 緒論 1 第一節 研究動機 1 第二節 研究目的 1 第三節 研究架構及流程 3 第二章 文獻回顧 5 第一節 行為財務相關文獻 5 第二節 新聞相關文獻 6 第三節 投資人情緒相關文獻 7 第三章 研究方法 9 第一節 資料取得 9 一、 樣本期間 9 二、 資料來源 9 三、 研究樣本分組 10 第二節 研究假說 10 第三節 變數定義、處理及衡量方式 12 一、 自變數 12 二、 應變數 20 三、 控制變數 20 四、 縱橫資料 21 第四節 Granger因果關係檢定 27 第五節 實證模型 28 一、 新聞對成交量之影響 28 二、 考慮投資人情緒 31 三、 縱橫資料分析 33 第四章 實證研究結果 35 第一節 資料敘述統計 35 一、 未區分產業群組前資料 35 二、 區分產業群組後資料 40 三、 相關係數資料 47 第二節 Granger因果關係檢定 51 第三節 新聞量對成交量之影響 52 第四節 新聞情緒成交量之影響 57 第五節 含有數字之新聞量對成交量之影響 62 第六節 考慮投資人情緒後新聞對成交量之影響 67 第七節 縱橫資料 73 第五章 結論 76 參考資料 78 | |
dc.language.iso | zh-TW | |
dc.title | 考慮投資人情緒下新聞對成交量之影響 | zh_TW |
dc.title | The impact of news on the trading volume considering investors sentiment | en |
dc.type | Thesis | |
dc.date.schoolyear | 105-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 陳明賢(Ming-Shen Chen),林岳祥(Yueh-Hsiang Lin) | |
dc.subject.keyword | 財經報紙,成交量,新聞情緒,情緒分析,投資人情緒, | zh_TW |
dc.subject.keyword | Financial newspapers,TAIEX trading volume,news sentiment,sentiment analysis,investor’s sentiment, | en |
dc.relation.page | 80 | |
dc.identifier.doi | 10.6342/NTU201701255 | |
dc.rights.note | 同意授權(全球公開) | |
dc.date.accepted | 2017-07-03 | |
dc.contributor.author-college | 管理學院 | zh_TW |
dc.contributor.author-dept | 財務金融學研究所 | zh_TW |
顯示於系所單位: | 財務金融學系 |
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