English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113303/144284 (79%)
Visitors : 50822920      Online Users : 834
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
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/152078


    Title: 投資人關注度對台灣股市之影響
    The Effect of Investor Attention on the Taiwan Stock Market
    Authors: 鄭淇云
    Cheng, Chi-Yun
    Contributors: 鍾令德
    鄭淇云
    Cheng, Chi-Yun
    Keywords: Google Trends
    搜尋量指標
    投資人關注度
    台灣50指數
    投資組合
    多因子迴歸模型
    Google Trends
    Search Volume Index
    Investor Attention
    Taiwan 50 Index
    Investment Portfolio
    Multi-Factor Model
    Date: 2024
    Issue Date: 2024-07-01 12:42:25 (UTC+8)
    Abstract: 本研究採用2004年至2023年台灣50指數成分股為樣本,以股票名稱作為搜尋關鍵字,透過Google Trends平台獲取關鍵字之搜尋量指標Search Volume Index(簡稱SVI),作為投資人關注度的代理變數,並提出以不同股票SVI的相對比例為基礎計算得出的全新變數——Pair SVI,探討不同代理變數在台灣股票市場的應用效果,以及投資人關注度與台灣股票市場之間的關係。實證結果顯示,較高Pair SVI的股票在未來數期有較高的報酬。並且,以Pair SVI進行選股的投資組合績效明顯優於其他SVI變數,能夠在樣本期間內創造高於台灣加權指數的累積報酬,也能在控制其他市場因子後,持續獲得顯著的正alpha且一年內不會發生反轉。這些結果展現了Pair SVI變數於台灣股票市場選股策略中的價值,與文獻中提到的投資人關注度僅能帶來短期報酬的結論有所不同,也顯示出台灣股票市場與美國股票市場特性之差異。
    In a sample of Taiwan 50 Index stocks from 2004 to 2023, this study uses these stocks' names as keywords to obtain the Search Volume Index (SVI) through the Google Trends platform, serving as a proxy variable for investor attention. Additionally, this study proposes a new variable calculated based on relative SVI among stocks—Pair SVI. The purpose is to explore the effectiveness of different SVI proxy variables in predicting cross-sectional stock returns in Taiwan. Empirical results show that higher Pair SVI are associated with higher returns in the subsequent periods. Furthermore, the performance of stock portfolios selected based on Pair SVI significantly outperforms those based on other SVI measures. These portfolios achieve cumulative returns higher than the Taiwan Stock Exchange Capitalization Weighted Stock Index (TWII). They also generate significant positive alpha under muti-factor models without reversal within a year. These results demonstrate the persistence of the Pair SVI variable in stock selection strategies in the Taiwan stock market, at odds with the short-term relationship between investor attention and stock returns in the U.S. market.
    Reference: Bank, Matthias, Martin Larch, and Georg Peter, 2011, Google search volume and its influence on liquidity and returns of German stocks, Financial Markets and Portfolio Management 25, 239–264.

    Barber, Brad M., and Terrance 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, 785–818.

    Carhart, Mark M., 1997, On Persistence in Mutual Fund Performance, Journal of Finance 52, 57–82.

    Carneiro, Herman Anthony, and Eleftherios Mylonakis, 2009, Google Trends: A Web-Based Tool for Real-Time Surveillance of Disease Outbreaks, Clinical Infectious Diseases 49, 1557–1564.

    Choi, Hyunyoung, and Hal Varian, 2012, Predicting the Present with Google Trends, Economic Record 88, 2–9.

    Da, Zhi, Joseph Engelberg, and Pengjie Gao, 2011, In Search of Attention, Journal of Finance 66, 1461–1499.

    Da, Zhi, Joseph Engelberg, and Pengjie Gao, 2015, The Sum of All FEARS Investor Sentiment and Asset Prices, Review of Financial Studies 28, 1–32.

    Fama, Eugene F., 1970, Efficient Capital Markets: A Review of Theory and Empirical Work, Journal of Finance 25, 383–417.

    Fama, Eugene F., and Kenneth R. French, 1993, Common risk factors in the returns on stocks and bonds, Journal of Financial Economics 33, 3–56.

    Fama, Eugene F., and Kenneth R. French, 2015, A five-factor asset pricing model, Journal of Financial Economics 116, 1–22.

    Fama, Eugene F., and Kenneth R. French, 2018, Choosing factors, Journal of Financial Economics 128, 234–252.

    Frazzini, Andrea, and Lasse Heje Pedersen, 2014, Betting against beta, Journal of Financial Economics 111, 1–25.

    He, Wen, and Chien-Ju Lu, 2018, Why Do Analysts Issue Sales Forecasts? Evidence from Mandatory IFRS Adoption, Accounting Horizons 32, 121–141.

    Hou, Kewei, Lin Peng, and Wei Xiong, 2009, A Tale of Two Anomalies: The Implications of Investor Attention for Price and Earnings Momentum, Available at SSRN 976394.

    Kahneman, Daniel, 1973, Attention and Effort (Prentice-Hall, Englewood Cliffs, NJ).

    Kristoufek, Ladislav, 2013, BitCoin meets Google Trends and Wikipedia: Quantifying the relationship between phenomena of the Internet era, Scientific Reports 3, 3415.

    Lou, Dong, 2014, Attracting Investor Attention through Advertising, Review of Financial Studies 27, 1797–1829.

    Seasholes, Mark S., and Guojun Wu, 2007, Predictable behavior, profits, and attention, Journal of Empirical Finance 14, 590–610.

    Takeda, Fumiko, and Takumi Wakao, 2014, Google search intensity and its relationship with returns and trading volume of Japanese stocks, Pacific-Basin Finance Journal 27, 1–18.

    Vozlyublennaia, Nadia, 2014, Investor attention, index performance, and return predictability, Journal of Banking & Finance 41, 17–35.

    Yuan, Yu, 2015, Market-wide attention, trading, and stock returns, Journal of Financial Economics 116, 548–564.

    陳雯琪, 2019, Google搜尋趨勢與媒體曝光度對台灣50指數成分股公司績效的影響, 國立屏東大學財務金融學系學位論文.

    黃子倫, 2013, 散戶投資人之網路搜尋行為與資本市場中的交易活動, 國立中山大學財務管理學系學位論文.
    Description: 碩士
    國立政治大學
    國際經營與貿易學系
    111351010
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0111351010
    Data Type: thesis
    Appears in Collections:[國際經營與貿易學系 ] 學位論文

    Files in This Item:

    File Description SizeFormat
    101001.pdf2216KbAdobe PDF1View/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