跳到主要內容

簡易檢索 / 詳目顯示

研究生: 夏筠婷
Hsia, Yun-Ting
論文名稱: 台灣股票型 ETF 市場羊群效應之研究
Herding Behavior in Taiwan's Equity ETF Market
指導教授: 郭維裕
口試委員: 徐政義
吳菊華
郭維裕
學位類別: 碩士
Master
系所名稱: 商學院 - 國際經營與貿易學系
Department of International Business
論文出版年: 2026
畢業學年度: 114
語文別: 中文
論文頁數: 66
中文關鍵詞: ETF羊群效應CSAD狀態空間模型報酬收斂風險曝險
外文關鍵詞: ETF, Herding Behavior, CSAD, State-Space Model, Return Convergence, Risk Exposure
相關次數: 點閱:5下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 本研究探討台灣股票型交易所交易基金(Exchange-Traded Fund, ETF)市場之羊群效應,並區分其係表現在報酬層次或風險曝險結構層次。研究以 2019 年 1 月 1 日至 2025 年 12 月 31 日間 19 檔台灣股票型 ETF 為樣本,採用橫斷面絕對離差(cross-sectional absolute deviation, CSAD)模型檢驗報酬分散程度之非線性收斂,並依 ETF 商品屬性、市場方向、市場連動度與 VIX 市場壓力狀態進行分組分析。進一步地,本文採用 Hwang and Salmon(2004)之狀態空間模型,檢驗 ETF 對市場因子與 Fama-French 因子之 beta 曝險是否呈現橫斷面收斂。
    實證結果顯示,台灣股票型 ETF 在極端市場條件下並未呈現報酬分散程度下降之現象;然而,CSAD 非線性模型顯示,ETF 報酬分散程度雖隨市場波動擴大而上升,但其增加幅度呈現遞減,表示整體樣本期間存在報酬層次之非線性收斂。分組結果顯示,此一現象主要集中於高股息 ETF、低市場連動度 ETF 與高 VIX 期間,反映 ETF 羊群行為具有商品屬性與市場狀態上的異質性。相較之下,狀態空間模型未支持台灣股票型 ETF 存在全面且穩健的風險曝險趨同。整體而言,台灣股票型 ETF 市場之羊群效應主要表現為特定市場條件下的報酬層次共同反應,而非風險曝險結構的全面收斂。


    This study examines herding behavior in Taiwan’s equity exchange-traded fund (ETF) market and distinguishes between return-level convergence and risk-exposure convergence. Using 19 Taiwan-listed equity ETFs from January 1, 2019 to December 31, 2025, this study applies the cross-sectional absolute deviation (CSAD) model to test for nonlinear convergence in return dispersion, with further analyses across ETF categories, market directions, market-linkage groups, and VIX-based market stress states. In addition, the state-space model proposed by Hwang and Salmon (2004) is employed to examine whether ETFs’ beta exposures to the market factor and Fama-French factors exhibit cross-sectional convergence.
    The empirical results show that Taiwan’s equity ETFs do not exhibit a decline in return dispersion under extreme market conditions. However, the nonlinear CSAD model indicates that ETF return dispersion increases with market volatility at a decreasing rate, suggesting nonlinear return-level convergence over the full sample period. This pattern is more pronounced among high-dividend ETFs, low market-linkage ETFs, and during high-VIX periods, indicating heterogeneity in ETF herding behavior across product characteristics and market states. In contrast, the state-space model does not provide robust evidence of comprehensive convergence in risk exposures. Overall, the findings suggest that herding behavior in Taiwan’s equity ETF market is primarily reflected in return-level co-movement under specific market conditions, rather than in systematic convergence of risk-exposure structures.

    第一章 緒論 7
    第一節 研究背景與動機 7
    第二節 研究目的 9
    第三節 研究貢獻 10
    第二章 文獻回顧 11
    第一節 羊群效應理論基礎 11
    第二節 羊群效應的衡量 12
    第三節 ETF市場特性與羊群效應實證研究 17
    第三章 研究方法 19
    第一節 研究範圍與資料來源 19
    第二節 羊群效應之衡量模型 21
    第四章 實證結果與分析 29
    第一節 敘述統計 29
    第二節 CSAD 模型之實證結果 33
    第三節 狀態空間模型之羊群行為檢驗 48
    第五章 結論與建議 60
    第一節 研究結論 60
    第二節 研究建議 62
    參考文獻 64

    Asch, S. E. (1951). Effects of group pressure upon the modification and distortion of judgments. In H. Guetzkow (Ed.), Groups, leadership and men (pp. 177–190). Carnegie Press.
    Banerjee, A. V. (1992). A simple model of herd behavior. The Quarterly Journal of Economics, 107(3), 797–817.
    Barberis, N., & Shleifer, A. (2003). Style investing. Journal of Financial Economics, 68(2), 161–199.
    Bikhchandani, S., & Sharma, S. (2001). Herd behavior in financial markets. IMF Staff Papers, 47(3), 279–310.
    Bikhchandani, S., Hirshleifer, D., & Welch, I. (1992). A theory of fads, fashion, custom, and cultural change as informational cascades. Journal of Political Economy, 100(5), 992–1026.
    Chang, E. C., Cheng, J. W., & Khorana, A. (2000). An examination of herd behavior in equity markets: An international perspective. Journal of Banking & Finance, 24(10), 1651–1679.
    Chelley-Steeley, P., & Park, K. (2010). The adverse selection component of exchange traded funds. International Review of Financial Analysis, 19(1), 65–76.
    Chiang, T. C., & Zheng, D. (2010). An empirical analysis of herd behavior in global stock markets. Journal of Banking & Finance, 34(8), 1911–1921.
    Christie, W. G., & Huang, R. D. (1995). Following the pied piper: Do individual returns herd around the market? Financial Analysts Journal, 51(4), 31–37.
    CMoney 資料庫(2026)。臺指選擇權波動率指數(VIX)資料。CMoney。
    Devenow, A., & Welch, I. (1996). Rational herding in financial economics. European Economic Review, 40(3–5), 603–615.
    Dreman, D. N. (1979). Contrarian investment strategy: The psychology of stock market success. Random House.
    Fama, E. F., & French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33(1), 3–56.
    Fama, E. F., & French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116(1), 1–22.
    Fama, E. F., & French, K. R. (2018). Choosing factors. Journal of Financial Economics, 128(2), 234–252.
    Froot, K. A., Scharfstein, D. S., & Stein, J. C. (1992). Herd on the street: Informational inefficiencies in a market with short-term speculation. The Journal of Finance, 47(4), 1461–1484.
    Gleason, K. C., Mathur, I., & Peterson, M. A. (2004). Analysis of intraday herding behavior among the sector ETFs. Journal of Empirical Finance, 11(5), 681–694.
    Hartzmark, S. M., & Solomon, D. H. (2019). The dividend disconnect. Journal of Finance, 74(5), 2153–2199.
    Huang, T.-C. (2015). Herd behavior and idiosyncratic volatility. Journal of Business Research, 68(4), 763–770.
    Huang, T.-C., & Wang, K.-Y. (2017). Investors’ fear and herding behavior: Evidence from the Taiwan stock market. Emerging Markets Finance and Trade, 53(10), 2259–2278.
    Hwang, S., & Salmon, M. (2004). Market stress and herding. Journal of Empirical Finance, 11(4), 585–616.
    Lakonishok, J., Shleifer, A., & Vishny, R. W. (1992). The impact of institutional trading on stock prices. Journal of Financial Economics, 32(1), 23–43.
    McQueen, G., Pinegar, M., & Thorley, S. (1996). Delayed reaction to good news and the cross-autocorrelation of portfolio returns. The Journal of Finance, 51(3), 889–919.
    Newey, W. K., & West, K. D. (1987). A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica, 55(3), 703–708.
    Nofsinger, J. R., & Sias, R. W. (1999). Herding and feedback trading by institutional and individual investors. The Journal of Finance, 54(6), 2263–2295.
    Rompotis, G. G. (2018). Herding behavior among exchange-traded funds. The Journal of Behavioral Finance, 19(4), 483–497.
    Scharfstein, D. S., & Stein, J. C. (1990). Herd behavior and investment. The American Economic Review, 80(3), 465–479.
    Sias, R. W. (2004). Institutional herding. The Review of Financial Studies, 17(1), 165–206.
    Subrahmanyam, A. (1991). A theory of trading in stock index futures. The Review of Financial Studies, 4(1), 17–51.
    Wermers, R. (1999). Mutual fund herding and the impact on stock prices. The Journal of Finance, 54(2), 581–622.
    王芯儀、徐政義、陳姿伶、賴弘能(2024)。因子訂價模型有效性之比較:臺灣股市實證。證券市場發展季刊,36(2),1–64。

    無法下載圖示 全文公開日期 2030/06/30
    QR CODE
    :::