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研究生:廖陳慶
研究生(外文):Cheng-Chin Liao
論文名稱:S&;P 500 股價共移性研究
論文名稱(外文):The Synchronicity of S&;P 500 Stock Price Movements
指導教授:辛敬文辛敬文引用關係
指導教授(外文):Chin-WenHsin
學位類別:碩士
校院名稱:元智大學
系所名稱:商學碩士班(財務金融學程)
學門:商業及管理學門
學類:財務金融學類
論文種類:學術論文
畢業學年度:92
語文別:英文
論文頁數:48
中文關鍵詞:共移性日效果區間效果
外文關鍵詞:SynchronicityDay-of-week effectSession effect
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This paper examines the intra-day stock price synchronicities for the S&;P500 stocks during the calendar year 2000. Particular emphasis is addressed on its relationship with the trading activities, including trading volatility, trading liquidity and trading volume. In examining the seasonality of synchronicities, we do not find any day-of-the-week effect in our sample while identify significant session effects of the intra-day price synchronicities. In particular, the price synchronicity shows the lowest value for the opening session, suggesting that the firm-specific information is particularly important in price formation during opening hour. We further investigate the impact of trading volume and price volatility on intra-day synchronicities. After we have controlled for the day-of-the-week and session differences, the trading volatility and volume still show significantly positive impact on synchronicity.
This paper examines the intra-day stock price synchronicities for the S&;P500 stocks during the calendar year 2000. Particular emphasis is addressed on its relationship with the trading activities, including trading volatility, trading liquidity and trading volume. In examining the seasonality of synchronicities, we do not find any day-of-the-week effect in our sample while identify significant session effects of the intra-day price synchronicities. In particular, the price synchronicity shows the lowest value for the opening session, suggesting that the firm-specific information is particularly important in price formation during opening hour. We further investigate the impact of trading volume and price volatility on intra-day synchronicities. After we have controlled for the day-of-the-week and session differences, the trading volatility and volume still show significantly positive impact on synchronicity.
Contents
1. Introduction……………………………………….…....…….1
2. Data…………………………………………….………..…...6
3. Methodology………………………………….………....…....8
3.1 Definition of Variable……………………………….….…....8
3.2 Research Models to explain Variations in Synch…………….…...11
3.2.1 Day-of-the-week effects and the effects of trading volume and volatility………………………………………..…….11
3.2.2 Trading-session Effects and the effects of trading volume and volatility……………………………………….…….12
3.2.3 Effects of trading volatility and volume…………….…..….13
3.2.4 Trading session and volume interaction effect………..….…..15
4. Empirical Results…………………………………....….…...15
4.1 Regression results for Weekday Effect…………….…….….….15
4.2 Regression results for Session Effect…………….………..…...16
4.3 Regression results for Effects of trading volatility and volume.............................................................................17
4.4 Regression results for Trading session and volume interaction effect……………………………….……….……….....20
5. Conclusions……………………………………………….…22
Reference……………………………………………………..24
Tables
Table 1 Descriptive Statistics…………………………………………...26
Figure 1 Qsyn , Tsyn synchronicity and trading volume (15 minute)…..29
Figure 2 Qsyn , Tsyn synchronicity and trading volume (30 minute)......30
Table 2 Analysis the Day-of-the-Week Effect on Intra-day Quote/Trade Price Synchronicities……………………………………………………31
Table 3 Analysis the Trading Session Effects on Intra-day Price Synchronicities………………………………….………………………32
Table 4.a Analysis of Differential Quote Price Synchronicities across Trading Sessions………………………………………………………...34
Table 4.b Analysis of Differential Trade Price Synchronicities across Trading Sessions………………………………………………………...36
Table 5.a Analysis of the Impact of Volatility on Quote Price Synchronicities………………………………………………………….38
Table 5.b Analysis of the Impact of Volatility on Trade Price Synchronicities………………………………………………………….39
Table 6 Analysis of the Impact of Trading Volume on Trade Price Synchronicities………………………………………………………….40
Table 7.a Analysis of the Impact of Volatility on Quote Price Synchronicities across Trading Session……………….………………..41
Table 7.b Analysis of the Impact of Volatility on Trade Price Synchronicities across Trading Session……………….………………..43
Table 8 Analysis of the Impact of Trading Volume on Trade Price Synchronicities across Trading Session………………………………...45
Table 9 Analysis of the Impact of Trading Volume and Trading Session Interaction………………………………………………………………46
Reference
Admati, A.R., Pfleiderer, p., 1988. A theory of intraday trading patterns. Review of Financial Studies 1, 3-40.
Barclay, M.J., Litzenberger, R.H., Warner, J.B., 1990. Private information,trading volume, and stock-return variances. Review of Financial Studies 3, 233-254.
Chan, L., Lakonishok, J., 1993. Institutional trades and intra-day stock price behavior. Journal of Finance 50 1147-1174.
Demesetz, H., 1968. The cost of transacting. Quarterly Journal of Economics 82, 33-53.
Easley, D., O’Hara, M., 1987 Price, trade size, and information in securities markets. Journal of Financial Economics 19, 69-90.
Foster,F.d., Vishwanathan, S., 1990. A theory of intraday variations in volume, variance, and trading costs in securities markets. Review of Financial Studies 3, 593-624.
French, K., Roll, R., 1986. Stock return variances: the arrival of information and the reaction of traders. Journal of Financial Economics 17, 5-26.
George, T., Kaul, G., Nimalendran, M., 1991. Estimation of the bid-ask spread and its components: a new approach. Review of Financial Studies 4, 623-656.
Glosten, L.R., Harris, L., 1988. Estimating the components of bid-ask spread. Journal of Financial Economics 14, 121-142.
Harris L., 1999. Trading and exchanges. Mimeo, University of Southern California.
Hasbrouck, J., 1988. Trade, quote, inventories and information. Journal of Financial Economics 22, 229-252.
Hasbrouck, J., 1991a. Measuring the information content of stock trades. Journal of Finance 46, 178-208.
Huang, R., Stoll, H., 1997. The components of the bid-ask spread: a general approach. Review of Financial Studies 10, 995-1034.
Jones, C.M., Kaul, G., Lipson, M.L., 1994. Information, trading, and volatility. Journal of Financial Economics 36, 127-154.
Kandel, E., Marx, L., 1999a. Nasdaq market structure and spread patterns. Journal of Financial Economics 51, 85-102
Karpoff, J.M., 1987. The relation between price changes and trading volume: A survey. Journal of Financial and Quantitative Analysis 22, 109-126.
Madhavan, A., 1996. Security prices and market transparency. Journal of Financial Intermediation 5, 255-283.
Madhavan, A., Richardson, M., Roomans, M., 1997. Why do security prices fluctuate? A transaction-level analysis of NYSE stocks. Review of Financial Studies 10, 1035-1064.
Madhavan, A., 2000. Market microstructure: A survey. Journal of Financial Markets 3, 205-258.
McInish, T., Wood, R.A., 1992. An Analysis of intraday patterns in the bid/ask spreads for NYSE stocks. Journal of Finance 47, 753-764
Morck, R., Yeung, B., Yu, W. 2000. The information content of stock markets: why do emerging markets have synchronous stock price movements? Journal of Financial Economics 58, 215-260.
Pagano, M., 1989a. Trading volume asset liquidity. Quarterly Journal of Economics 104, 255-274.
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