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系統識別號 U0002-2306201215312900
DOI 10.6846/TKU.2012.00968
論文名稱(中文) 交易人行為對日內股市漲跌影響
論文名稱(英文) The Effects of Investors’ Trading Behavior on the Rise and Fall of Intraday Stock Market
第三語言論文名稱
校院名稱 淡江大學
系所名稱(中文) 財務金融學系碩士在職專班
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 100
學期 2
出版年 101
研究生(中文) 林玉鳳
研究生(英文) Yu-Fun Lin
學號 799530356
學位類別 碩士
語言別 繁體中文
第二語言別
口試日期 2012-05-06
論文頁數 65頁
口試委員 指導教授 - 邱建良
共同指導教授 - 吳佩珊
委員 - 俞海琴
委員 - 李命志
委員 - 蕭榮烈
關鍵字(中) 交易人行為
私有資訊
雜訊交易者
關鍵字(英) investors’ trading behavior
private information
noise traders
第三語言關鍵字
學科別分類
中文摘要
本研究採用NBINGARCH(1,1)計次資料模型分析交易人行為對日內股市漲跌的影響,以機構投資人(外資、投信、自營商)買賣超餘額、融資餘額變動率、融券餘額變動率等變數,探討其分別對於台灣加權股價指數大盤、開盤後一小時、盤中、收盤前一小時之上漲(下跌)次數是否具有顯著性的影響。
    實證結果發現:1.外資在大盤下跌(上漲)時會增加(出脫)持股的負向回饋交易,與其他交易人受大盤下跌(上漲)影響反而有恐慌性賣出(買進)之行為有所不同,而且在收盤時段,以及開盤時段大盤下跌時的日內效果特別顯著,推論其握有私有資訊。2.投信則與外資相同,與收盤時段上漲(下跌)次數有顯著負向(正向)關係,推論其也具有私有資訊,但與大盤上漲(下跌)次數不顯著。3.自營商雖然同為機構投資人,卻有不同的表現,與大盤,以及開收盤、盤中時段之上漲(下跌)次數有正向(負向)關係,漲時助長、跌時助跌之正向回饋交易,推論其為雜訊交易者。4.融資餘額變動率常被作為散戶投資情緒的觀察指標,其與大盤、開收盤及盤中時段之上漲(下跌)次數呈現顯著正向關係,所以認為散戶為雜訊交易者。5.融券餘額變動率僅與收盤時段之下跌次數有正向關係。
英文摘要
This paper used NBINGARCH(1, 1) count data model to analyze the effects of investors’ trading behavior on the rise and fall of intraday stock market. We examined whether the variables including the net buy/sell for institutional investors (foreign investors, investment trust and dealers), the change of balance of margin loan and stock loan had significantly influence on the rise and fall of TAIEX among the first hour, the middle and the last hour trading period.  
Empirical results showed as follows:1. Foreign investors engaged in negative feedback trading by increasing (decreasing) share holdings when TAIEX fell (rose).  They were different from other traders who were affected by TAIEX to sell shares with panic when TAIEX fell and buy shares when TAIEX rose. Meanwhile, the intraday effects were especially significant among the closing trading period no matter what the rise and fall of TAIEX, and the fall of TAIEX among the beginning trading period. So, we inferred foreign investors held private information. 2. Investment trust had the same trading behavior as foreign investors. Their trading behavior was negative (positive) relation with the rise (fall) of TAIEX among the closing trading period. So, we inferred they also held private information. But, it wasn’t significant relation with the rise (fall) of TAIEX among the whole trading day. 3. Although dealers were institutional investors too, their trading behavior was different from others. It was positive (negative) relation with the rise (fall) of TAIEX among the whole trading day, the beginning, the closing and the middle trading period. They engaged in positive feedback trading, therefore we inferred they were noise traders. 4. The change of balance of margin loan often used as the sentiment index of individual investors. Their trading behavior indicated significant relation with the rise (fall) of TAIEX among the whole trading day, the beginning, the closing and the middle trading period. They engaged in positive feedback trading. We thought individual investors were noise traders. 5. The change of balance of stock loan was positive relation with the fall of TAIEX among the closing period only.
第三語言摘要
論文目次
目  錄
第一章	緒論…………………………………………………………………………1
第一節 研究背景與動機……………………………………………………………1
第二節	 研究目的……………………………………………………………………6
第三節	 研究架構……………………………………………………………………6
第二章 文獻探討……………………………………………………………………8
第一節 各類型投資人之介紹………………………………………………………8
第二節	 投資人交易行為……………………………………………………………14
第三章 研究方法……………………………………………………………………26
第一節 研究期間及研究對象………………………………………………………26
第二節	 單根檢定……………………………………………………………………27
第三節	 計次資料模型………………………………………………………………33
第四章 實證結果與分析……………………………………………………………38
第一節 資料檢定及模型設定………………………………………………………38
第二節 實證結果……………………………………………………………………51
第五章 結論與建議…………………………………………………………………55
第一節 結論…………………………………………………………………………55
第二節	 未來研究建議………………………………………………………………56
參考文獻……………………………………………………………………………57

表 目 錄
表1-1  集中交易市場投資人交易金額比例表……………………………………4
表1-2  上市證券信用交易值分析表………………………………………………5
表2-1  集中交易市場投資法人交易概況表………………………………………9
表2-2  我國開放外資投資國內股市歷程…………………………………………10
表2-3  外資投入我國股市概況表…………………….……………………………11
表4-1  基本統計分析表……………………………………………………………41
表4-2  ADF單根檢定法(水準項)………………………………………………46
表4-3  PP單根檢定法(水準項)…………………………………………………46
表4-4  ADF單根檢定法(差分項)……………………………………………47
表4-5  PP單根檢定法(差分項)………………………………………………47
表4-6  變數定義……………………………………………………………………48
表4-7  NBINGARCH(1, 1)實證表(1)………………………………………49
表4-8  NBINGARCH(1, 1)實證表(2)………………………………………50

圖 目 錄
圖1-1  集中交易市場投資人交易金額比例趨勢圖………………………………4
圖1-2  上市證券各項信用交易比率趨勢圖………………………………………5
圖1-3  本論文研究架構圖…………………………………………………………7
圖4-1  台灣加權股價指數日內上漲次數圖………………………………………42
圖4-2  台灣加權股價指數日內下跌次數圖………………………………………42
圖4-3  每日外資買賣超金額圖……………………………………………………42
圖4-4  每日投信買賣超金額圖……………………………………………………43
圖4-5  每日自營商買賣超金額圖…………………………………………………43
圖4-6  融資餘額和台灣加權股價指數走勢圖……………………………………43
圖4-7  融券餘額和台灣加權股價指數走勢圖……………………………………44
圖4-8  法人交易比重與台灣加權股價指數走勢圖………………………………44
圖4-9  融資占成交量比重與台灣加權股價指數走勢圖…………………………44
圖4-10 融券占成交量比重與台灣加權股價指數走勢圖………………………45
參考文獻
參考文獻
一、	中文部分
1.	黃延楷(2002),「現貨指數報酬、基差走勢、未平倉合約數與外資交易行為間之動態關聯探討」,國立高雄第一科技大學財務管理研究所碩士論文。
2.	許溪南、郭玟秀與鄭乃誠(2005),「投資人情緒與股價報酬波動之互動關係:台灣股市之實證」,《台灣金融財務季刊》,第六卷第三期,頁107-121。
3.	張馨方(2005),「台灣股票市場加權股價指數報酬率與融資、融券餘額之相關性研究」,朝陽科技大學財務金融系碩士論文。
4.	柯美珠與黃彥聖(2006),「資訊揭露對日內市場流動性之影響:台灣股票市場之實證研究」,台灣科技大學管理新思維學術研討會。
5.	王良惠(2006),「融資、融券及其綜合性指標與股票報酬關係之研究」,中正大學財務金融研究所碩士論文。
6.	李志宏、周冠男、林秋發與謝育慈(2006),「亞洲金融風暴前後外資交易行為與台灣股市互動關係之研究」,《證券市場發展季刊》,第十八卷第三期,頁47-73。
7.	周賓凰、張宇志與林美珍(2007),「投資人情緒與股票報酬互動關係」,《證券市場發展季刊》,第十九卷第二期,頁153-190。
8.	呂立偉(2008),「台股三大法人交易資訊效率性與動能策略之探討」,大葉大學國際企業研究所論文。
9.	許溪南、王健聰與黃文芳(2010),「台灣股市三大法人買賣超型態、強度與報酬之關聯性」,《中華管理評論國際學報》第十三卷第四期,頁1-21。
10.	吳兆元(2011),「各類投資人買賣不平衡對於市場雜訊的影響」,淡江大學財務金融學系碩士論文。
11.	塗文吟(2011),「市場情緒對波動度的影響-以台灣50指數成分股為例」,台北商業技術學院財務金融研究所碩士論文。
12.	翁培師(2011),「流動性、市場效率與外資交易」,國立中央大學財務金融研究所碩士論文。

二、	外文部分
1.	Barclay, M.J., C.G. Dunbar and J.B. Warner, (1993), Stealth and Volatility: Which Trades Move Prices? Journal of Financial Economics ,Vol. 34, 281-306.
2.	Black, F.,(1986), Noise, Journal of Finance, Vol. 41, 529-543.
3.	Bloomfield, R. and M. O’Hara, (2000), Can Transparent Markets Survive? Journal of Financial Economics, Vol. 55, 425-459.
4.	Brown, S. and S. A. Hillegeist, (2007), How Disclosure Quality Affects the Level of Information Asymmetry, Review of Accounting Studies, Vol. 12, 443-477.
5.	Brock, W. A. and A. W. Kleidon,(1992), Periodic Market Closure and Trading Volumes: A Model of Intraday Bids and Asks, Journal of Economic Dynamics and Control, Vol. 16, 451-489.
6.	Cai, F. and Lu Zheng,(2004), Institutional Trading and Stock Returns, Finance Research Letters, Vol. 1, 178-189.
7.	Choe, H., B. C. Kho and R. M. Stulz,(1999), Do Foreign Investor Destabilize Stock Markets?, The Korean Experience in 1997 , Journal of Financial Economics, Vol. 54, 227-264.
8.	Chakravarty, S., (2001), Stealth-Trading: Which Traders' Trades Move Stock Prices? Journal of Financial Economics, Vol. 34, 281-306.
9.	Copeland, T. and D. Galai,(1983), Information Effects on the Bid-Ask Spread, Journal of Finance, Vol. 38, 1456-1469.
10.	Curtis, A. and N.L. Fargher,(2009), Does Short-Selling Amplify Price Declines or Align Stocks with Their Fundamental Values?, Working Paper, University of Utah.
11.	De Long, J. B., A. Shleifer, L. H. Summers and R.J. Waldmann, (1989), The Size and Incidence of the Losses from Noise Trading, Journal of Finance, Vol. 44(3), 681-696.
12.	De Long, J. B., A. Shleifer, L. H. Summers and R.J. Waldmann,(1990a), Noise Trader Risk in Financial Markets, Journal of Political Economy, Vol. 98(4), 703-738.
13.	De Long, J. B., A. Shleifer, L. H. Summers and R.J. Waldmann,(1990b), Positive Feedback Investment Strategies and Destabilizing Rational Speculation, Journal of Finance, Vol. 45(2), 379-396.
14.	Diether, K., K.H. Lee and I.M. Werner,(2009), Short-Sale Strategies and Return Predictability, Review of Financial Studies, Vol. 22, 575-607.
15.	Easley, D. and M. O’Hara,(1992), Time and the Process of Security Price Adjustment, Journal of Finance, Vol. 47(2), 577-605.
16.	Foster, F. and S. Viswanathan,(1990), A Theory of Interday Variations in Volumes, Variances, and Trading Costs in Securities Markets, Reviews of Financial Studies, Vol. 3, 593-624.
17.	Foster, F. and S. Viswanathan,(1993), Variations in Trading Volume, Return Volatility, and Trading Costs: Evidence on Recent Price Formation Models, Journal of Finance, Vol. 48, 157-186.
18.	Froot, K. A., and T. Ramadorai,(2001), The Information Content of International Portfolio Flows, NBER Working Paper, No. 8472.
19.	Glosten, L. and P. Milgrom,(1985), Bid, Ask and Transaction Prices in a Specialist Market with Heterogeneously Informed Traders, Journal of Financial Economics, Vol. 14, 71-100.
20.	Goodhart, C. A. E. and M. O'Hara, (1997), High Frequency Data in Financial Markets: Issues and Applications, Journal of Empirical Finance, Vol. 4, 73-114. 
21.	Gourieroux, C. and T. Magnac,(1997), Duration, Transition and Count Data Models Introduction, Journal of Econometrics, Vol. 79, 195-199.
22.	Granger, C. W. J. and P. Newbold,(1974), Spurious Regressions in Econometrics, Journal of Econometrics, Vol. 12, 111-120.
23.	Griffin, J. M., J. H. Harris and S. Topaloglu,(2003), The Dynamics of Institutional and Individual Trading, Journal of Finance, Vol. 58(6), 2286-2320.
24.	Hall, B., J. A. Hausman and Z. Griliches, (1984), Econometric Models for Count Data with an Application to the Patents-R&D Relationship, Econometrica, Vol. 52, 909-938.
25.	Hamao, Y. and J. Mei,(2001), Living with the ‘Enemy’: An Analysis of Foreign Investment in the Japanese Equity Market., Journal of International Money and Finance, Vol. 20(5), 715-735.
26.	Hardouvelis, G. A.,(1990), Margin Requirements, Volatility and the Transitory Component of Stock Price, American Economic Review, Vol. 80, 736-762.
27.	Hardouvelis, G.A., and S. Peristiani,(1992), Margin Requirements, Speculative Trading, and Stock Price Fluctuations: the Case of Japan, Quarterly Journal of Economics, Vol. 107, 1333-1370.
28.	Harris, L.,(1986), A Transaction Data Study of Weekly and Intradaily Patterns in Stock Returns , Journal of Financial Economics, Vol. 16, 99-117.
29.	Hasbrouck, J.,(1991), Measuring the Information Content of Stock Trades,  Journal of Finance, Vol. 46(1), 179-207.
30.	Jochen, M. and T. R. Regina,(2000), Fertility Assimilation of Immigrants: Evidence from Count Data Models, Journal of Population Economics, Vol. 13, 241-261.
31.	John, A. L.,(2001), US County-Level Determinants of Inbound FDI: Evidence from a Two-Step Modified Data Model, International Journal of Industrial Organization, Vol. 19, 953-973.
32.	Kamaesaka, Akiko, John R. Nofsinger and Hidetaka Kawakita,(2003), Investment Patterns and Performance of Investor Groups in Japan, Pacific-Basin Finance Journal ,Vol. 11, 1-22.
33.	Kyle, A. S., (1985), Continuous Auctions and Insider Trading, Econometrica, Vol. 53, 1315−1335.
34.	LaFond, R. and R. L. Watts, (2008), The Information Role of Conservatism, Accounting Review, Vol. 83(2), 447-478.
35.	Lakonishok, Josef, Andrei Shleifer and Robert W. Vishny,(1991), Do Institutional Investors Destabilize Stock Prices? Evidence on Herding and Feedback Trading., NBER Working Paper, No.3846.
36.	Lamont, O. and J. C. Stein,(2004), Aggregate Short Interest and Market Valuations, American Economic Review, Vol. 94, 29-32.
37.	Lee, Y. T., J. C. Lin and Y. J. Liu,(1999), Trading Patterns of Big Versus Small Players in an Emerging Market: An Empirical Analysis, Journal of Banking and Finance, Vol. 23, 701-725.
38.	Li, W. and S. S. Wang,(2010), Daily Institutional Trades and Stock Price Volatility in a Retail Investor Dominated Emerging Market, Journal of Financial Markets, Vol. 13, 448-474.
39.	McInish, T. H. and R. A. Wood, (1992), An Analysis of Intraday Patterns in Bid-Ask Spreads for NYSE Stocks, Journal of Finance, Vol. 47, 753-764.
40.	Patrick, J. Dennis and Deon Strickland,(2002), Who Blinks in Volatile Markets, Individuals or Institutions?, Journal of Finance, Vol. 57, 1923-1949.
41.	Pirinsky, C. and Q. Wang(2004), Institutional Investors and the Comovement of Equity Prices, Working Paper, Texas A&M University.
42.	Richards, A.(2005), Big Fish in Small Ponds: The Trading Behavior and Price Impact of Foreign Investors in Asian Emerging Equity Markets, Journal of Financial and Quantitative Analysis, Vol. 40(1), 1-27.
43.	Seasholes, M.,(2004), Re-Examining Information Asymmetries in Emerging Stock Markets., Working Paper, University of California, Berkeley.
44.	Sias, R. W.(2004), Institutional Herding, Review of Financial Studies, Vol. 17(1), 165-206.
45.	Sias, R. W., L. T. Starks, and S. Titman,(2006), Changes in Institutional Ownership and Stock Return: Assessment and Methodology, Journal of Business, Vol. 79(6), 2869-2910.
46.	Wermers, Russ,(1999), Mutual Fund Herding and the Impact on Stock Prices, Journal of Finance, Vol. 54, 581-622.
47.	Wood, Robert A. , Thomas H. McInish and J. Keith Ord,(1985), An Investigation of Transaction Data for NYSE Stocks , Journal of Finance, Vol. 40 , 723-741.
48.	Ye Fan, Tanya P. Garcia, Mohsen Pourahmadi, Dominique Lord,(2011), Extension of a Negative Binomial GARCH Model:Analyzing the Effects of Gasoline Price and VMT on DUI Fatal Crashes in Texas., the 91st Annual Meeting of the Transportation Research Board.
49.	Zhu Fukang, (2011), A Negative Binomial Integer-Valued GARCH Model, Journal of Time Series Analysis, Vol. 32, 54-67.
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