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研究生:黃泳龍
研究生(外文):Weng-Long Vong
論文名稱:投資者關注度之影響因素探討以台灣股票市場為例
論文名稱(外文):The Determinants of Investor Attention: Evidence from Taiwan
指導教授:陳彥行
指導教授(外文):Yan-Shing Chen
口試委員:陳業寧施懿宸
口試委員(外文):Yehning ChenYi-Cheng Shih
口試日期:2016-01-15
學位類別:碩士
校院名稱:國立臺灣大學
系所名稱:財務金融學研究所
學門:商業及管理學門
學類:財務金融學類
論文種類:學術論文
論文出版年:2016
畢業學年度:104
語文別:英文
論文頁數:27
中文關鍵詞:投資者關注度Google 搜尋量指數(SVI)政治選舉災難交易日
外文關鍵詞:Investor AttentionGoogle Search Volume Index (SVI)Political ElectionsDisastersTrading Days
相關次數:
  • 被引用被引用:2
  • 點閱點閱:538
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
本論文觀察台灣股票市場中公司之Google搜尋量指數(SVI)與政治選舉、災難事件、交易日、研發支出等變數之關係,以研究投資者關注度之影響因素為何。論文之研究目標為台灣50指數中之成份股,樣本包含17,537個週觀察值與4,700個月觀察值。實證結果顯示投資者關注度隨著災難之發生而下降,並隨著每週之交易日數增加而上升。

This study investigates what determinants can explain investor attention on Taiwan stocks by observing the relationship between Google Search Volume Index and variables such as political elections, disaster events, trading days and research and development (R&D) expense. The sample consists of 17,537 weekly observations and 4,700 monthly observations based on fifty listed stocks of TW50. The empirical results show that investor attention decreases when disasters event occurs, and investor attention increases with number of trading days in a week. These interesting findings are not mentioned in past literature.

I. Introduction 1
II. Data and Methodology 2
A. Google Search Volume 2
B. The Regression Model 6
C. Dependent Variables 7
i. Existing Proxies of Attention 7
ii. Key Independent Variables of Interest 9
III. Result 11
IV. Conclusion 14
References 15

TABLES
Table I. Demonstration for Adjustments of SVI 17
Table II. Variable Definitions 18
Table III Summary Statistics 19
Table IV. Regression Result - Weekly ln(1+SVI) 21
Table V. Regression Result - Monthly ln(1+SVI) 22
Table VI. Regression Result - Monthly ln(1+Ticker SVI) 23
Table VII. Tobit Regression Result - ln(1+SVIs) 24
Table VIII. Regression Result - Weekly Abnormal SVI 25
Table IX. Regression Result - Monthly Abnormal SVI 26
Table X. Regression Result - Monthly Abnormal Ticker SVI 27


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