English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113656/144643 (79%)
Visitors : 51713827      Online Users : 742
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 > 財務管理學系 > 學位論文 >  Item 140.119/154583
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/154583


    Title: 投資人情緒對迷因股報酬率之影響
    The Impact of Investor Sentiment on Returns of Meme Stocks
    Authors: 陳昱臻
    Chen, Yu-Jen
    Contributors: 周冠男
    Chou, Robin.K
    陳昱臻
    Chen, Yu-Jen
    Keywords: 迷因股
    投資人情緒
    累積異常報酬
    Meme Stocks
    Investor Sentiment
    Cumulative Abnormal Returns
    Date: 2024
    Issue Date: 2024-12-02 11:27:21 (UTC+8)
    Abstract: 本論文主要探討迷因股之報酬與投資人情緒的關係。我們使用以社群熱度和放空比率為依據編製之Solactive迷因指數作為迷因股報酬代理變數,及VIX和AAII投資人情緒調查結果作為兩種情緒代理變數,探討了投資人情緒對迷因股報酬率的影響。我們的三個假設:(1)投資人情緒與同期迷因股報酬率之間呈正向關係,並與下一期迷因股報酬率呈負向關係(2)與市場報酬相比,迷因股的報酬對投資人情緒的敏感度更高,以及(3)迷因股在其「迷因期間」存在正的異常報酬,但會隨時間逐漸消失。
    通過普通最小平方法(OLS)迴歸和Granger因果關係檢驗,我們的研究結果顯示投資人情緒與同期迷因股報酬之間存在正向且顯著的關係。然而,迷因股對情緒的敏感度並沒有比S&P500指數更高。我們確認情緒不僅會影響未來迷因股的報酬,也會影響未來S&P500指數的報酬,且以情緒的變化作為代理變數時,迷因股更為敏感。此外,我們使用事件研究法的結果顯示,股票被納入「迷因指數」前後都會出現顯著的正累積異常報酬(CARs)。然而,隨著「迷因現象」的消退,這些報酬逐漸下降。
    Our study examines the influence of investor sentiment on the returns of meme stocks. We use the Solactive MEME Index, which is based on social media buzz and short interest ratio, as a proxy variable for meme stock returns, and the VIX and AAII Investor Sentiment Survey results as two sentiment proxy variables. We specifically analyze three hypotheses: (1) a contemporaneous positive relationship between sentiment and meme stock returns and a negative relationship between sentiment and future returns, (2) the greater sensitivity of meme stocks to sentiment than broader market indices, and (3) the presence of abnormal returns for meme stocks during their "meme period," which dissipates afterward.
    Using Ordinary Least Squares (OLS) regression and the Granger-causality tests, the findings reveal a positive and significant contemporaneous relationship between investor sentiment and meme stock returns. However, meme stocks do not demonstrate greater sensitivity to sentiment compared to the S&P 500 Index. We confirm that sentiment can affect the future returns of meme stocks and the S&P 500 Index, with meme stocks being more responsive when changes in the level of sentiment are employed. Furthermore, an event study methodology shows significant positive cumulative abnormal returns (CARs) before and shortly after the inclusion of stocks into the MEME Index. However, these returns gradually decline as the meme phenomenon diminishes.
    Reference: Aloosh, A., Choi, H., & Ouzan, S. (2021). Meme Stocks and Herd Behavior. Behavioral & Experimental Finance eJournal.
    Aloosh, A., Ouzan, S., & Shahzad, S. J. H. (2022). Bubbles across meme stocks and cryptocurrencies. Finance Research Letters, 49, 103155.
    Baker, M., & Wurgler, J. (2006). Investor sentiment and the cross‐section of stock returns. The Journal of Finance, 61(4), 1645-1680.
    Baker, M., & Wurgler, J. (2007). Investor sentiment in the stock market. Journal of Economic Perspectives, 21(2), 129-151.
    Binder, J. (1998). The event study methodology since 1969. Review of Quantitative Finance and Accounting, 11, 111-137.
    Black, F. (1986), Noise. The Journal of Finance, 41, 528-543.
    Brown, G. W., & Cliff, M. T. (2004). Investor sentiment and the near-term stock market. Journal of Empirical Finance, 11(1), 1-27.
    Brown, G. W., & Cliff, M. T. (2005). Investor sentiment and asset valuation. The Journal of Business, 78(2), 405-440.
    Charoenrook, A. (2005). Does sentiment matter? Unpublished working paper. Vanderbilt University.
    Chung, J. (2022). Hedge fund Melvin lost $6.8 billion in a month: Winning it back is taking a lot longer. Wall Street Journal, 28.
    Da, Z., Engelberg, J., & Gao, P. (2015). The sum of all FEARS investor sentiment and asset prices. The Review of Financial Studies, 28(1), 1-32.
    De Long, J. B., Shleifer, A., Summers, L. H., & Waldmann, R. J. (1990). Noise trader risk in financial markets. Journal of Political Economy, 98(4), 703-738.
    Duz Tan, S., & Tas, O. (2021). Social media sentiment in international stock returns and trading activity. Journal of Behavioral Finance, 22(2), 221-234.
    Dyckman, T., Philbrick, D., & Stephan, J. (1984). A comparison of event study methodologies using daily stock returns: A simulation approach. Journal of Accounting Research, 22, 1-30.
    Fama, E. F., & French, K. R. (1996). Multifactor explanations of asset pricing anomalies. The Journal of Finance, 51(1), 55-84.
    Fisher, K. L., & Statman, M. (2000). Investor sentiment and stock returns. Financial Analysts Journal, 56(2), 16-23.
    Giot, P. (2005). Relationships between implied volatility indices and stock index returns. Journal of Portfolio Management, 31(3), 92-100.
    Guan, S. S. (2022). Meme Investors and Retail Risk. BCL Rev., 63, 2051.
    Habibah, U., Rajput, S., Sadhwani, R. (2017). Stock market return predictability: Google pessimistic sentiments versus fear gauge. Cogent Economics & Finance, 5(1), 1390897.
    Hasso, T., Müller, D., Pelster, M., & Warkulat, S. (2022). Who participated in the GameStop frenzy? Evidence from brokerage accounts. Finance Research Letters, 45, 102140.
    Hirshleifer, D., & Shumway, T. (2003). Good day sunshine: Stock returns and the weather. The Journal of Finance, 58(3), 1009-1032.
    Kräussl, R., & Mirgorodskaya, E. (2014). News media sentiment and investor behavior. CFS Working Paper Series, 492.
    Lee, C. M., Shleifer, A., & Thaler, R. H. (1991). Investor sentiment and the closed‐end fund puzzle. The Journal of Finance, 46(1), 75-109.
    Lemmon, M., & Portniaguina, E. (2006). Consumer confidence and asset prices: Some empirical evidence. The Review of Financial Studies, 19(4), 1499-1529.
    Li, S. (2022). Spillovers between Bitcoin and Meme stocks. Finance Research Letters, 50, 103218.
    Long, S., Lucey, B., Xie, Y., & Yarovaya, L. (2023). “I just like the stock”: The role of Reddit sentiment in the GameStop share rally. Financial Review, 58(1), 19-37.
    Malz, A.M. (2021). The GameStop Episode: What Happened and What Does It Mean?. Journal of Applied Corporate Finance, 33, 87-97
    Michele Costola, Matteo Iacopini, Carlo R.M.A. Santagiustina (2021). On the “mementum” of meme stocks. Economics Letters, 207.
    Nani, A. (2022). The doge worth 88 billion dollars: A case study of Dogecoin. Convergence, 28(6), 1719-1736.
    Schmeling, M. (2009). Investor sentiment and stock returns: Some international evidence. Journal of Empirical Finance, 16(3), 394-408.
    Shleifer, A., & Vishny, R. W. (1997). The limits of arbitrage. The Journal of Finance, 52(1), 35-55.
    Simon, D. P., & Wiggins III, R. A. (2001). S&P futures returns and contrary sentiment indicators. Journal of Futures Markets: Futures, Options, and Other Derivative Products, 21(5), 447-462.
    Smales, L. A. (2016). Risk-on/Risk-off: Financial market response to investor fear. Finance Research Letters, 17, 125-134.
    Smales, L. A. (2017). The importance of fear: investor sentiment and stock market returns. Applied Economics, 49(34), 3395-3421.
    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.
    Tetlock, P. C., Saar‐Tsechansky, M., & Macskassy, S. (2008). More than words: Quantifying language to measure firms' fundamentals. The Journal of Finance, 63(3), 1437-1467.
    Umar, Z., Gubareva, M., Yousaf, I., & Ali, S. (2021). A tale of company fundamentals vs sentiment driven pricing: The case of GameStop. Journal of Behavioral and Experimental Finance, 30, 100501.
    Wang, Y. H., Keswani, A., & Taylor, S. J. (2006). The relationships between sentiment, returns and volatility. International Journal of Forecasting, 22(1), 109-123.
    Whaley, R. E. (2002). Return and Risk of CBOE Buy Write Monthly Index. Journal of Derivatives, 10(2), 35-42.
    Whaley, R. E. (2009). Understanding the VIX. Journal of Portfolio Management, 35(3), 98-105.
    Yousaf, I., Pham, L., & Goodell, J. W. (2023). The connectedness between meme tokens, meme stocks, and other asset classes: Evidence from a quantile connectedness approach. Journal of International Financial Markets, Institutions and Money, 82, 101694.
    Description: 碩士
    國立政治大學
    財務管理學系
    111357020
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0111357020
    Data Type: thesis
    Appears in Collections:[財務管理學系] 學位論文

    Files in This Item:

    File Description SizeFormat
    702001.pdf1627KbAdobe PDF0View/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