政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/124674

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/124674

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政大典藏 > College of Commerce > Department of Accounting > Theses > Item 140.119/124674

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/124674

Title:	新聞情緒分析與系統風險之關聯性研究 The association between news sentiment analytics and system risk
Authors:	湯明勳 Tang, Ming-Hsun
Contributors:	諶家蘭湯明勳 Tang, Ming-Hsun
Keywords:	新聞情緒分析系統風險情緒字典文本分析 News sentiment analysis System risk Sentiment dictionary Textual analysis
Date:	2019
Issue Date:	2019-08-07 15:55:45 (UTC+8)
Abstract:	隨著資訊科技的日新月異，網路已成為投資人取得資訊時最迅速便捷的管道，有別於以往投資人係根據投資報告或財務報告來作決策，現在投資人也會根據「財經新聞」的報導進一步做出投資決策，財經新聞能提供投資人即時獲取公司內外部之特定消息，因此，在向投資人傳遞訊息時扮演著重要的角色。本研究最主要之目的，係探討「財經新聞」報導對投資人產生之「情緒」影響，與「系統風險」間是否有著緊密的關聯，本研究假設「新聞情緒分析」與系統風險間具有關聯，使用2018年第四季「台灣50指數成分股」51家上市公司相關之財經新聞，利用本研究所建置之「財經正負向情緒字典」統計財經新聞中之「正負面情緒字詞」，用以計算與各模型相關之「情緒語調」及「新聞數量」，最後以SAS統計軟體執行「多元線性回歸」，用以檢驗財經新聞情緒分析與系統風險間之關聯。實證之結果發現，「情緒語調」及「新聞數量」與系統風險間具有關聯性，且新聞情緒分析與系統風險間具有「三日窗期」之關聯，本研究還發現，「負面情緒語調」及「負面新聞」之情緒分析皆與系統風險間具有顯著關聯。 With the rapid development of information technology, the Internet has become the fastest and most convenient channel for investors to obtain information. Different from previous investors who made decisions based on investment reports or financial reports. Nowadays investors also based on the "Financial News" further makes investment decisions. Financial news can provide investors with instant information, therefore, plays an important role in delivering information to investors. The main purpose of this study is to explore whether the "sentiment" impact of "Financial News" on investors is closely related to "System Risk". This study assumes that "News Sentiment Analysis" is related to System Risk. Using the financial news related to 51 listed companies in the "Taiwan 50 Index constituents" in the fourth quarter of 2018, with the "Financial Sentiment Dictionary" to collect "Positive and Negative sentimental words" in financial news, it is used to calculate the variables of "Sentimental Tone" and "Quantity of News" related to each model. Finally, the "Multiple Linear Regression" is performed by SAS statistical software to test the relationship between financial News Sentiment Analysis and System Risk. The empirical results show that there is a correlation between "Sentimental Tone" and " Quantity of News" and System Risk, and there is a "Three-day periods" relation between News Sentiment Analysis and System Risk. This study also found that "Negative Sentimental Tone" and the sentiment analysis of "Negative News" has a significant correlation with System Risk.
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Description:	碩士國立政治大學會計學系 106353117
Source URI:	http://thesis.lib.nccu.edu.tw/record/#G0106353117
Data Type:	thesis
DOI:	10.6814/NCCU201900410
Appears in Collections:	[Department of Accounting] Theses

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