系統識別號 | U0002-2006201010431900 |
---|---|
DOI | 10.6846/TKU.2010.00568 |
論文名稱(中文) | 投資人日內群聚行為分析:理性或非理性? |
論文名稱(英文) | The Analysis of Investors' Intraday Herding: Rational or Irrational? |
第三語言論文名稱 | |
校院名稱 | 淡江大學 |
系所名稱(中文) | 財務金融學系碩士班 |
系所名稱(英文) | Department of Banking and Finance |
外國學位學校名稱 | |
外國學位學院名稱 | |
外國學位研究所名稱 | |
學年度 | 98 |
學期 | 2 |
出版年 | 99 |
研究生(中文) | 龍培堯 |
研究生(英文) | Pei-Yau Lung |
學號 | 697530490 |
學位類別 | 碩士 |
語言別 | 繁體中文 |
第二語言別 | |
口試日期 | 2010-05-14 |
論文頁數 | 57頁 |
口試委員 |
指導教授
-
林蒼祥
共同指導教授 - 蔡蒔銓 委員 - 施俊吉 委員 - 邱建良 委員 - 李沃牆 委員 - 段昌文 |
關鍵字(中) |
群聚行為 波動度 雜訊 |
關鍵字(英) |
Herding Volatility Noise |
第三語言關鍵字 | |
學科別分類 | |
中文摘要 |
本研究利用逐筆委託單,以Patterson and Sharma(2005) 所提出的Bootstrapped runs test 來計算群聚指標,並利用揭示檔及成交單資料,以Hu(2006) 之方法估計股票報酬波動度中所含之雜訊,觀察台灣股票市場中散戶、外資、投信基金以及自營商群聚行為與股票報酬波動度之關係以及其中雜訊的變化,並推論何類投資人群聚行為屬於根據資訊的理性群聚,而何種投資人屬於盲從之非理性群聚。 實證結果發現,在整日觀察下,各類投資人群聚行為對波動度並無顯著影響,而投信則是會使雜訊降低。在日內區間,散戶之群聚行為皆會使波動度提高,開盤時投信及外資群聚行為會使雜訊降低,表示其為根據隔夜資訊所作之理性群聚;而盤中及收盤,除了投信外其餘三類投資人群聚行為均會使雜訊增加,散戶在收盤時更是明顯,此可以資訊瀑布流來解釋,此時群聚行為多屬於非理性之群聚。因此綜合來看,投信多屬於根據資訊之理性群聚者,散戶則多屬於盲從之非理性群聚者。 |
英文摘要 |
This study Based on intraday order book data and transaction data from Taiwan Stock Exchange(TSE), adopted the herding measurement of Patterson and Sharma(2005) and the estimation of noise by Hu(2006). Then observed the relationship between herding behavior of different type of investors and noise in Taiwan stock market, and tried to infer that investors’ herding behavior was rational or irrational. The empirical result showed that investors’ herding behavior had no significant effect on volatility, but herding behavior by Investment Trust decreased noise in daily pattern. In intraday pattern, herding by Investment Trust and Foreign Institutional Investor decreased noise but individuals increased noise at market open. At market close, herding behavior except Investment Trust increased noise especially individuals, and this can be explained by information cascade. According to the result above, herding by Investment Trust was rational, but herding by individuals was irrational. |
第三語言摘要 | |
論文目次 |
目錄 中文摘要 I 英文摘要 II 目錄 III 圖表目錄 IV 第一章 緒論 1 第一節 研究動機與背景 1 第二節 研究目的 4 第三節 研究架構 5 第四節 研究流程 6 第二章 文獻回顧 7 第一節 群聚行為成因 7 第二節 群聚之實證研究 11 第三節 群聚行為對股票波動之影響 13 第三章 研究方法 16 第一節 研究資料 16 第二節 研究期間與樣本選取之標準 21 第三節 主要變數 24 第四章 實證結果與分析 29 第五章 結論與建議 50 第一節 研究結論 50 第二節 對後續研究之建議 53 參考文獻 54 圖表目錄 【表 3-1】成交檔資料格式 19 【表 3-2】委託檔資料格式 19 【表 3-3】揭示檔資料格式 20 【圖 3-1】撮合時間次數分配圖 28 【表 4-1】敘述統計 32 【表 4-2】日內各區間報酬波動度及雜訊占總波動比例 34 【表 4-3】日內報酬波動度及雜訊占總波動比例與群聚值之關係 37 【表 4-4】各類投資人群聚行為與雜訊占總波動比例之關係 38 【表 4-5】迴歸分析:日群聚現象與波動度及雜訊之關係 43 【表 4-6】迴歸分析:日內群聚現象與波動度及雜訊之關係 49 |
參考文獻 |
1. 吳政樂,(1998),證券自營商之從眾行為與投資策略分析,國立中央大學財務管理研究所碩士論文 2. 杜樹森,(1996),機構投資人交易行為對股票市場之影響:以國內共同基金為例,國立政治大學財務管理研究所碩士論文 3. 李雅婷,(2001),法人持股、群聚之股票特性與風險分散效果之研究,國立中正大學財務金融研究所碩士論文 4. 柯靜君,(1998),機構投資人從眾行為之研究--以國內共同基金為例,國立成功大學企業管理學系碩士論文 5. 劉坤青,(2000),外國法人、證券自營商、投信鉅額交易對台灣上櫃市場股價影響,國立台北大學企業管理學系碩士論文 6. 蘇惟宏,(2000),機構法人從眾行為之研究-以國內股市集中交易市場為例,國立政治大學企業管理學系碩士論文 7. Banerjee, A., (1992), “A simple model of herd behavior,” Quarterly Journal of Economics, Vol.107, pp.797-817. 8. Bikhchandani, S., D. Hirshleifer, I. Welch, (1992), “A theory of fads, fashion, custom, and cultural change as informational cascades,” Journal of Political Economy, Vol.100, pp.992-1026. 9. Bikhchandani, S., and S. Sharma, (2001), “Herd behavior in financial markets,” IMF Staff Papers, 47(3). 10. Bildik, R. and S. Elekdag, (2004), “Effects of price limits on volatility,” Emerging Markets Finance and Trade, Vol.40, pp.5–34. 11. Bildik, R. and G. Gulay, (2006), “Are price limits effective? Evidence from the Istanbul Stock Exchange,” Journal of Financial Research, Vol.29, pp.383-403. 12. Bowe, Michael, and Daniela Domuta, (2004), “Investor herding during financial crisis: A clinical study of the Jakarta Stock Exchange,” Pacific-Basin Finance Journa, Vol. 12, pp.387-418. 13. Brock, W. and A. Kleidon, (1992), “Periodic market closure and trading volumes: A model of intraday bids and asks,” Journal of Economic Dynamics and Control, Vol. 16, pp.451-489. 14. Chang, E. C., J. W. Cheng, and A. Khorana, (2000), An examination of herd behavior in equity markets: An international perspective. Journal of Banking and Finance, Vol.24(10), pp.1651-1679. 15. Choe, Huyk, Bong-Chan Kho, and Rene M. Stulz, (1998), “Do foreign investor destabilize stock market? The Korean experience in 1997,” Journal of Financial Economics, Vol.54, pp.227-264. 16. Cont, R. and J.P. Bouchaud, (2000), “Herd behavior and aggregate fluctuations in financial markets,” Macroeconomic Dynamics, Vol.4, pp.170-196. 17. Cutler, D.M, J.M. Poterba and L. Summers, (1989), “What moves stock prices?” Journal of Portfolio Management, Vol.15, pp.4-12. 18. De Long, J. B., A. Shleifer, L. H. Summers, and R. J. Waldmann, (1991), “The survival of noise traders in financial markets,” Journal of Business, Vol.64, No.1, pp.1-19. 19. Fama, E.F., (1976), “Foundations of finance,” Basic Books, New York, NewYork. 20. Fan, Y.J. and H.N. Lai, (2006), “The intraday effect and the extension of trading hours for Taiwanese securities,” International Review of Financial Analysis, Vol.15, pp.328–347. 21. French, K. R., and R. Roll, (1986), “Stock return variances: The arrival of information and the reaction of traders,” Journal of Financial Economics, Vol.17, pp.5-26. 22. Garbade, K., and W. Silber, (1979), “Structural organization of secondary markets: Clearing frequency, dealer activity and liquidity risk,” Journal of Finance, Vol.34, pp.577-593. 23. George, T. J. and C. Y. Hwang, (2001), “Information flow and pricing errors: A unified approach to estimation and testing,” Review of Financial Studies, Vol.14, pp. 979-1020. 24. Glosten, L. R. and L. E. Harris, (1987), “Estimating the components of the bid/ask spread,” Journal of Financial Economics, Vol.21, pp.123-142. 25. Griffin, J. M., J. Harris, H., and S. Topaloglu, (2003), “The dynamics of institutional and individual trading,” Journal of Finance, Vol.58 , pp.2285−2320. 26. Hu, S., (2006), “A simple estimate of noise and its determinant in a call auction market,” International Review of Financial Analysis, Vol.15, Issue.4-5, pp.1479−1514. 27. Iihara, Yoshio, Kato, Hideaki Kiyoshi, Tokunaga, Toshifumi, (2001), “Investors’ herding on the Tokyo Stock Exchange,” International Review of Finance, Vol.2, pp.51–78. 28. Jones, C. and G. Kaul, M. Lipson, (1994), “Transactions, volume and volatility,” Review of Financial Studies, Vol.7, pp.631-652. 29. Jones, Steven L., Darrell Lee, and Edward Weis, (1999), “Herding and feedback trading by different types of institutions and the effects on stock prices”, Working paper, University of Indiana. 30. Kim, K.A. and S.G. Rhee, (1997), “Price limit performance: Evidence from the Tokyo Stock Exchange,” Journal of Finance, Vol.52, pp.885-901. 31. Kim, W., and S.J. Wei, (2002), “Foreign portfolio investors before and during a crisis,” Journal of International Economics, Vol.56, pp.77-96. 32. Lakonishok, J., A. Shleifer, and R. W. Vishny, (1992), “The impact of institutional trading on stock prices,” Journal of Financial Economics, Vol.32, pp.23- 43. 33. Lee, Y. T., Robert C. W. Fok, and Y. J. Liu, (2001), “Explaining intraday pattern of trading volume from the order flow data,” Journal of Business Finance and Accounting, Vol. 28, No. 1-2, pp.199-230. 34. Lin, William T., S. C. Tsai, and David S. Sun, (2009), “What causes herding: Information cascade or searching cost?” Working paper, Tamkang University. 35. Lockwood, L.J. and S.C. Linn, (1990), “An examination of stock market return volatility during overnight and intraday periods, 1964-1989, ” Journal of Finance, Vol. 45, pp.591-601. 36. Madhavan, A., (1992), “Trading mechanisms in securities markets,” Journal of Finance, Vol.47, pp.607-641. 37. Mendelson, H., (1982), “Market behavior in a clearing house,” Econometrica, Vol.50, pp.1505-1524. 38. Mian G.M. and C.M. Adam, (2001), “Volatility dynamics in high frequency financial data: An empirical investigation of the Australian equity returns,” Applied Financial Economics, Vol.11, pp.341-352. 39. Mood, A., (1940), “The distribution theory of runs,” The Annals of Mathematical Statistics, Vol.11, No.4, pp.367-392. 40. Morck, R., A. Shleifer, and R. W. Vishny, (1989) , “Alternative mechanisms for corporate control,” The American Economic Review, Vol.79, No.4, pp.842-852. 41. Nofsinger, J. R., and R. W. Sias, (1999), “Herding and feedback trading by institutional and individual investors,” Journal of Finance, Vol.54, No. 6, pp.2263-2295. 42. Oldfield Jr, G. S., and R. J. Rogalski, (1980), “A theory of common stock returns over trading and non-trading periods,” Journal of Finance, Vol.35, No.3, pp.729-751. 43. Patell, J. M., and M. A. Wolfson, (1984), “The intraday speed of adjustment of stock prices to earnings and dividend announcements,” Journal of Financial Economics, Vol.13, No.2, pp.223-252. 44. Patterson, D. and V. Sharma, (2005), “Intraday herding and market efficiency,” Unpublished Working Paper. 45. Scharfstein, D. S. and Stein, J. C., (1990), “Herd behavior and investment,” American Economic Review, Vol.80, pp.465-479. 46. Shiller R., (1989), “Market Volatility,” MIT Press, Cambridge, MA. 47. Stoll, H. R., (2000), “Friction,” Journal of Finance, Vol. 55, pp.1479−1514. 48. Stoll, H. R., and R. E. Whaley, (1990), “Stock market structure and volatility,” Review of Financial Studies, Vol. 3, pp.37−71. 49. Welch, I., (1996), “Rational herding in financial economics,” European Economic Review, Vol.40, pp.603-615. |
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