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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/24601
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dc.contributor.advisor胡星陽
dc.contributor.authorChih-Hui Lien
dc.contributor.author李致慧zh_TW
dc.date.accessioned2021-06-08T05:32:46Z-
dc.date.copyright2005-07-04
dc.date.issued2005
dc.date.submitted2005-06-15
dc.identifier.citationAdmati, A. and P. Pfleiderer, 1988, “A Theory of Intraday Patterns: Volume and Price Variability,” Review of Financial Studies, 1, 3-40.
Barclay, M. J. Warner, 1993, “Stealth Trading and Volatility,” Journal of Financial Economics, 34, 281-305.
Barclay, M. J., T. Hendershott, and D. T. Mccormick, 2003, “Competition Among Trading Venues: Information and Trading on Electronic Communications Networks,” Journal of Finance, 58, 2637-2666.
Bollerslev, T., 1986, “Generalized Autoregressive Conditional Heteroskedasticity,” Journal of Econometrics, 31, 307-327.
Campbell, J. Y., S. J. Grossman, and J. Wang, 1993, “Trading Volume and Serial Correlation in Stock Returs,” Quarterly Journal of Economics, 108, 905-939.
Chan, K. and W. M. Fong, 2000, “Trade Size, Order Imbalance, and the Volatility-Volume Relation.” Journal of Financial Economics, 57, 247-273.
Chakravarty, S., 2001, “Stealth-trading: Which Traders’ Trades Move Stock Prices?” Journal of Financial Economics, 61, 289-307.
Chordia, T., R. Roll, and A. Subrahmanyam, 2000, “Order Imbalance and Individual Stock Returns,” The eScholarship Repository, University of California.
―――――――― and ――――――― , 2002, “Order Imbalance, Liquidity, and Market Returns,” Journal of Financial Economics, 65,111-130.
―――――――― and ――――――― , 2004, “Order Imbalance and Individual Stock Returns: Theory and Evidence,” Journal of Financial Economics, 72, 485-518.
Clark, P. K., 1973, “A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices.” Econometrica, 41, 135-155.
Copeland, T. E., 1976, “A model of Asset Trading under the Assumption of Sequential Information Arrival,” Journal of Finance, 31, 1149-1168.
Copeland, T. E., 1977, “A Probability Model of Asset Trading.” Journal of Financial and Quantitative Analysis, 12, 563-578.
Cornell, B., 1981, “The Relationship between Volume and Price Variability in Futures Markets.” The Journal of Futures Markets, 1, 303-316.
Crouch, R. L., 1970, “A nonlinear Test of the Random-Walk Hypothesis.” American Economic Review, 60, 199-202.
Crouch, R. L., 1970, “The Volume of Transactions and Price Changes on the New Yew York Stock Exchange.” Financial Analysts Journal, 26, 104-109.
Epps, T. W., 1975, “Security Price Changes and Transaction Volumes: Theory and Evidence.” American Economic Review, 65, 586-597.
Epps, T. and M. Epps, 1976, “The Stochastic Dependence of Security Price Changes and Transaction Volumes: Implications for the Mixture-of-distributions Hypothesis,” Econometrica, 44, 305-321.
Fama, E. and K. French, 1988, “Permanent and Temporary Components of Stock Prices,” Journal of Political Economy, Vol. 96, 246-273.
Foster, D. F. and S. Viswanathan, 1994, “Strategic Trading with Asymmetric Informed Traders and Long-Lived Information,” Journal of Financial and Quantitative Analysis, 29, 499-518.
――――― and ――――――, 1996, “Strategic Trading When Agents Forecast the Forecasts of Others,” Journal of Finance, 51, 1437-1478.
Gallant, R., P. Rossi, and G.. Tauchen, 1992, “Stock Prices and Volume,” Review of Financial Studies, 5, 199-242.
Gervais, S., Kaniel, R., and D., Mingelgrin, 1998, “The High Volume Return Premium.” The Rodney L. White Center for Financial Research, Working Paper.
Godfrey, M. D., C. W. J. Granger, and O. Morgenstern, 1964, “The Random-Walk Hypothesis of Stock Market Behavior,” Kyklos, Vol. 17,
Grammatikos, T., and A. Saunders, 1986, “Futures Price Variability: A Test of Maturity and Volume Effects.” Journal of Business, 59, 319-330.
Granger, C. W. J and O. Morgenstern, 1963, “Spectral Analysis of Stock Market Prices,” Kyklos, Vol. 16, 1-27,
Grossman, S., 1976, “On The Efficiency Of Competitive Stock Markets Where Traders Have Diverse Information.” Journal of Finance, 31, 573-585.
Harris, L., 1986, “Cross-Security Tests of the Mixture of Distributions Hypothesis.” Journal of Financial and Quantitative Analysis, 21, 39-46.
Hasbrouck, J., 1991, “Measuring the Information Content of Stock Trades.“ Journal of Finance, 46, 179-207.
He, H., and J. Wang, 1995, “Differential Information and Dynamic Behavior of Trading Volume,” Review of Financial Studies, 8, 919-972.
Holden, C. W., and A. S. Subrahmanyam, 1992, “Long-Lived Private Information and Imperfect Competition.” Journal of Finance, 1171 247-265.
Hong, H. and J. Wang, 2000, “Trading and Returns under Periodic Market Closures,” Journal of Finance, 55, 297-354.
Jennings, R. H., L. T. Starks, and J. C. Fellingham, 1981, “An Equilibrium Model of Asset Trading with Sequential Information Arrival,” Journal of Finance, 36, 143-161.
Karpoff, J. M., 1986, “A Theory of Trading Volume.” Journal of Finance, 41, 1069-1088.
Karpoff, J., 1987, ” The relation between Price Changes and Trading Volume: A Survey,” Journal of Financial and Quantitative Analysis, 22, 109-126.
Kyle, A., 1985, “Continuous Auctions and Insider Trading,” Econometrica, 53. 1315-1335.
Lamoureux, C. and W. Lastrapes, 1990, “Heteroskedasticity in Stock Return Data: Volume versus GARCH Effects,” Journal of Finance, 45, 221-229.
Lin, C. M., 2003, “Information Asymmetry and Return-Volume Relation: A Time Varying Model based upon Order Imbalance and Individual Stock,” Graduate Institute of Finance of National Taiwan University.
Lin, J. C., 2004, “Price- Volume Relation: A Time Varying Model with Censored and Camouflage Effects,” Graduate Institute of Finance of National Taiwan University.
Llorente, G., R. Michaely, G. Saar, and J. Wang, 2001, “Dynamic Volume-Return Relation of Individual Stocks,” Review of Financial Studies, 15, 1005-1047.
Lo, A. W. and J. Wang, 2000, “Trading Volume: Definitions, Data Analysis, and Implications of Portfolio Theory,” Review of Financial Studies, 13, 257-300.
―――― and A. C. Mackinlay, 1988, “Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test,” Review of Financial Studies, 1, 41-66.
―――― and ―――――, 1990, “An Econometric Analysis of Non- synchronous Trading,” Journal of Econometrics, 45, 181-211.
Morgan, I. G., 1976, “Stock Prices and Heteroskedasticity. ” Journal of Business, 49, 496-508.
Morse, D., 1980, “Asymmetrical Information in Securities Markets and Trading Volume.” Journal of Financial and Quantitative Analysis, 15, 1129-1148.
Osborne, M. F. M., 1959, “Brownian Motion in the Stock Market.” Operations Research, 7, 145-173.
Poterba, J. M. and L. H. Summers, 1987, “The Persistence of Volatility and Stock Market Fluctuations,” National Bureau of Economics Research, Working Paper.
Richardson, G., Sefcik, S. E. and R. Thompson, 1986, “A Test of Dividend Irrelevance Using Volume Reaction to a Change in Dividend Policy. ” Journal of Financial Economics, 17, 313-333.
Shiller, R. J. and P. Perron, 1985, “Testing the Random Walk Hypothesis,” Economics Letters, Vo. 18, 381-386.
Rutledge, D. J. S., 1984, “Trading Volume and Price Variability: New Evidence on the Price Effects of Speculation.” In Selected Writings on Futures Markets: Research Directions in Commodity Markets, 1970-1980, 237-251.
Wang, F. A., 1998, “Strategic Trading, Asymmetric Information and Heterogeneous Prior Beliefs,” Journal of Financial Markets, 1,321-352.
Wang, J., 1993, “A Model of Intertemporal Asset Prices Under Asymmetric Information,” Review of Economic Studies, 60, 249-282.
――――, 1994, “A Model of Competitive Stock Trading Volume,” Journal of Political Economy, 102, 127-168.
Westerfield, R., 1977, “The Distribution of Common Stock Price Changes: An
Application of Transactions Time and Subordinated Stochastic Models.” Journal of Financial and Quantitative Analysis, 12, 743-765.
Wood, R. A., McInish, T. H., and J. K. Ord, 1985, “An Investigation of Transactions Data for NYSE Stocks.” Journal of Finance, 60, 723-739.
Woodruff, C. S., and A. J. Senchack, Jr., 1988, “Intradaily Price-Volume.” The Journal of Political Economy, 102, 127-168
Ying, C. C., 1966, “Stock Market Prices and Volumes of Sales.” Econometrica, 34, 676-686.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/24601-
dc.description.abstract本研究檢驗鉅額跌幅個股的日報酬率與資訊不對稱之間的關係。透過採用買賣單不對稱-買單量減去賣單量-做為資訊不對稱的替代變數,以瞭解同期與落後數期的買賣單不對稱對股票報酬率的影響。本研究自NASDAQ成分股中選擇50家為樣本,樣本期間自2004年10月19日至2004年12月17日止,觀察各個樣本日中的交易資料,並採用GARCH(1, 1)及Chordia and Subrahmanyam(2004)的迴歸模型進行實證。
本研究主要的發現如下:
1.同期的買賣單不對稱與股票報酬率的關係呈正向相關。
2.期差一期的買賣單不對稱與股票報酬率亦呈正向相關;然而,在控制同期買賣單不對稱的影響之後,該關係會被弱化或甚至轉變為負向關係。
3.同期的買賣單不對稱對於股票報酬的影響與個股的市場資本額呈負向相關。
4.鉅額買賣單不對稱可被視為一種訊號,投資人可透過這些資訊內涵來推論股價改變的方向,以獲得報酬。
zh_TW
dc.description.abstractThis study examines the relation between individual stock returns and information asymmetry among top losers. While using order imbalance, defined as buy orders less sell orders, as proxy to information asymmetry, this study captures the effect of contemporaneous and lagged order imbalance on individual stock returns. The research data consists of transaction information of 50 sample stocks listed on NASDAQ and the sample period is from Oct. 19, 2004 to Dec. 17, 2004. GARCH (1,1) model and Chordia and Subrahmanyam’s (2004) regression model are applied to analyze these observations.
The majority finding of this study are described as follows:
1.There exists positive relation between individual stock returns and contemporaneous order imbalance.
2.Lag one order imbalance is positive related to individual stock returns. However, this relation is weakened or even reversed after controlling the effect of contemporaneous order imbalance.
3.Contemporaneous order imbalance of one individual stock is negatively related to its market capitalization.
4.Large order imbalance can be treated as a signal, from which the investors infer to take profits
en
dc.description.provenanceMade available in DSpace on 2021-06-08T05:32:46Z (GMT). No. of bitstreams: 1
ntu-94-R92741007-1.pdf: 417685 bytes, checksum: ab5aea637989e8ea1fa8226bf041f89c (MD5)
Previous issue date: 2005
en
dc.description.tableofcontentsCHAPTER 1 INTRODUCTION 1
1.1 MOTIVES AND PURPOSES 1
1.2 FRAMEWORK OF THE THESIS 4
CHAPTER 2 LITERATURE REVIEW 5
2.1 TRADER’S BEHAVIOR UNDER INFORMATION ASYMMETRY 6
2.2 TRADING VOLUME UNDER INFORMATION ASYMMETRY 10
2.3 RELATION BETWEEN RATE OF RETURN AND TRADING VOLUME 11
CHAPTER 3 DATA 21
3.1 DATA SAMPLE AND SOURCES 21
3.2 THE PROCEDURE OF DATA SAMPLING 23
3.3 DESCRIPTIVE STATISTICS 24
CHAPTER 4 METHODOLOGY 26
4.1 GARCH MODEL AND VARIABLES 26
4.2 EFFECTS OF LAGGED ORDER IMBALANCE 28
4.3 RELATION BETWEEN COEFFICIENTS AND FIRM CPAITALIZATION 30
CHAPTER 5 EMPIRICAL RESULTS 32
5.1 RESULTS OF GARCH(1,1) 32
5.2 RESULTS OF REGRESSION MODEL 35
5.3 RELATION BETWEEN COEFFICIENTS AND FIRM CAPITALIZATION37
CHAPTER 6 CONCLUSION 38
REFERENCES 41
FIGURE 1. THE IDEA OF THE STUDY 46
FIGURE 2. DISTRIBUTION OF MARKET CAPITAL AT SAMPLE STOCKS47
TABLE 1 BASIC INFORMATION OF 50 SAMPLE STOCKS 48
TABLE 2 THE DETAILED STATISTIC OF ORDER IMBALANCE IN THE SAMPLE STOCKS. 50
TABLE 3 NUMBER OF SIGNIFICANCES AND INSIGNFICANCES IN RETURN- CONTEMPORANEOUS ORDER IMBALANCE RELATION 52
TABLE 4 NUMBER OF SIGNIFICANCES AND INSIGNFICANCES IN RETURN- LAG ONE ORDER IMBALANCE RELATION 54
TABLE 5 NUMBERS OF SIGNIFICANCES AND INSIGNFICANCES IN RETURN- LAGGED ORDER IMBALANCE RELATION 56
TABLE 6 ESTIMATES OF RETURN- CONTEMPORANEOUS ORDER IMBALANCE RELATION 60
TABLE 7 ESTIMATES OF RETURN- LAG ONE ORDER IMBALANCE RELATION 64
TABLE 8 ESTIMATES OF LAG 0- LAG 4 ORDER IMBALANCE EFFECTS68
TABLE 9 ESTIMATES OF LAG 1- LAG 5 ORDER IMBALANCE EFFECTS72
TABLE 10 APPROPRIATENESS OF TWO REGRESSION MODELS EXAMINING RETURN- LAGGED ORDER IMBALANCE RELATION 76
TABLE 11 ESTIMATES OF CONTEMPORANEOUS ORDER IMBALANCE- FIRM SIZE RELATION 78
dc.language.isoen
dc.titleNASDAQ最大跌幅投機型個股之日內報酬率-買賣單不對稱關係zh_TW
dc.titleIntraday Return-Order Imbalance Relation in NASDAQ Speculative Top Losersen
dc.typeThesis
dc.date.schoolyear93-2
dc.description.degree碩士
dc.contributor.coadvisor蘇永成
dc.contributor.oralexamcommittee陳明賢,王耀輝
dc.subject.keyword買賣單不對稱,資訊不對稱,投機型個股,zh_TW
dc.subject.keywordorder imbalance,information asymmetry,speculative stock,en
dc.relation.page78
dc.rights.note未授權
dc.date.accepted2005-06-15
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept商學研究所zh_TW
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