Hostname: page-component-76fb5796d-zzh7m Total loading time: 0 Render date: 2024-04-26T15:08:24.977Z Has data issue: false hasContentIssue false

Order Imbalances and Market Efficiency: Evidence from the Taiwan Stock Exchange

Published online by Cambridge University Press:  06 April 2009

Yi-Tsung Lee
Affiliation:
actyt1@nccu.edu.tw, National Chengchi University, 64, Chi Nan Road, Sec 2, Mucha, Taipei 11623, Taiwan;
Yu-Jane Liu
Affiliation:
finyj1@nccu.edu.tw, National Chengchi University, 64, Chi Nan Road, Sec 2, Mucha, Taipei 11623, Taiwan;
Richard Roll
Affiliation:
rroll@anderson.ucla.edu, Anderson School at UCLA, 110 Westwood Plaza, Box 951481, Los Angeles, CA 90095.
Avanidhar Subrahmanyam
Affiliation:
subra@anderson.ucla.edu, Anderson School at UCLA, 110 Westwood Plaza, Box 951481, Los Angeles, CA 90095.

Abstract

Data from the Taiwan Stock Exchange identify the originator of each submitted order, and there are no designated dealers or specialists. We study marketable order imbalances, i.e., the net order flow resulting from trades that demand immediacy. We distinguish imbalances by trader type (individuals, domestic institutions, foreign institutions) and by the usual size of each trader's order. Day-to-day persistence in order imbalance is strongest for small foreign institutions and weakest for large individual traders. Such persistence emanates both from splitting orders over time and from herding, and there is little evidence that aggregate price pressures from such persistence last beyond a trading day, indicating that de facto market making is quite effective. We attempt to discern which types of traders are de facto liquidity providers, which are likely to be informed, and which trade for liquidity reasons. The evidence indicates that all trader classes are successful market makers, large domestic institutions conduct the most informed trades, and large individuals are noise or liquidity traders.

Type
Research Article
Copyright
Copyright © School of Business Administration, University of Washington 2004

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Barberis, N.; Shleifer, A.; and Vishny, R.. “A Model of Investor Sentiment.” Journal of Financial Economics, 49 (1998), 307343.Google Scholar
Benston, G., and Hagerman, R.. “Determinants of Bid-Asked Spreads in the Over-the-Counter Market.” Journal of Financial Economics, 1 (1974), 353364.CrossRefGoogle Scholar
Blume, M.; MacKinlay, A.; and Terker, B.. “Order Imbalances and Stock Price Movements on October 19 and 20, 1987.” Journal of Finance, 44 (1989), 827848.Google Scholar
Brown, P.; Walsh, D.; and Yuen, A.. “The Interaction between Order Imbalance and Stock Price.” Pacific-Basin Finance Journal, 5 (1997), 539557.Google Scholar
Chan, K., and Fong, W.. “Trade Size, Order Imbalance, and the Volatility-Volume Relation.” Journal of Financial Economics, 57 (2000), 247273.Google Scholar
Chordia, T.; Roll, R.; and Subrahmanyam, A.. “Order Imbalance, Liquidity, and Market Returns.” Journal of Financial Economics, 65 (2002), 111130.Google Scholar
Chordia, T., and Subrahmanyam, A.. “Order Imbalance and Individual Stock Returns.” Working Paper, Emory Univ. (2002).Google Scholar
Cox, D., and Peterson, D.. “Stock Returns following Large One-Day Declines: Evidence on Short-Term Reversals and Longer-Term Performance.” Journal of Finance, 49 (1994), 255267.Google Scholar
Gallant, A.; Rossi, P.; and Tauchen, G.. “Stock Prices and Volume.” Review of Financial Studies, 5 (1992), 199242.Google Scholar
Glosten, L.Insider Trading, Liquidity, and the Role of the Monopolist Specialist.” Journal of Business, 62 (1989), 211236.CrossRefGoogle Scholar
Glosten, L.Is the Electronic Open Limit Order Book Inevitable?Journal of Finance, 49 (1994), 11271161.Google Scholar
Glosten, L., and Milgrom, P.. “Bid, Ask and Transaction Prices in a Specialist Market with Heterogeneously Informed Traders.” Journal of Financial Economics, 14 (1985), 71100.Google Scholar
Grossman, S., and Miller, M.. “Liquidity and Market Structure.” Journal of Finance, 43 (1988), 617633.CrossRefGoogle Scholar
Hasbrouck, J., and Seppi, D.. “Common Factors in Prices, Order Flows and Liquidity.” Journal of Financial Economics, 59 (2001), 383411.CrossRefGoogle Scholar
Hiemstra, C., and Jones, J.. “Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation.” Journal of Finance, 49 (1994), 16391664.Google Scholar
Hirshleifer, D.; Subrahmanyam, A.; and Titman, S.. “Security Analysis and Trading Patterns when Some Investors Receive Information before Others.” Journal of Finance, 49 (1994), 16651698.CrossRefGoogle Scholar
Ho, T., and Stoll, H.. “Optimal Dealer Pricing under Transaction and Return Uncertainty.” Journal of Financial Economics, 9 (1981), 4773.CrossRefGoogle Scholar
Karpoff, J.The Relation between Price Changes and Trading Volume: A Survey.” Journal of Financial and Quantitative Analysis, 22 (1987), 109125.CrossRefGoogle Scholar
Kraus, A., and Stoll, H.. “Parallel Trading by Institutional Traders.” Journal of Financial and Quantitative Analysis, 7 (1972), 21072138.Google Scholar
Kyle, A.Continuous Auctions and Insider Trading.” Econometrica, 53 (1985), 13151335.Google Scholar
Lauterbach, B., and Ben-Zion, U.. “Stock Market Crashes and the Performance of Circuit Breakers: Empirical Evidence.” Journal of Finance, 48 (1993), 19091925.CrossRefGoogle Scholar
Lee, C.Earnings News and Small Traders: An Intraday Analysis.” Journal of Accounting and Economics, 15 (1992), 265302.Google Scholar
Lee, C., and Ready, M.. “Inferring Trade Direction from Intraday Data.” Journal of Finance, 46 (1991), 733747.Google Scholar
Ljung, G., and Box, G.. “On a Measure of Lack of Fit in Time-Series Models.” Biometrika, 75 (1978), 355361.Google Scholar
Lo, A., and Wang, J.. “Trading Volume: Definitions, Data Analysis, and Implications of Portfolio Theory.” Review of Financial Studies, 13 (2000), 257300.CrossRefGoogle Scholar
Odean, T.Volume, Volatility, Price, and Profit when All Traders are Above Average.” Journal of Finance, 53 (1998), 18871934.Google Scholar
Scharfstein, D., and Stein, J.. “Herd Behavior and Investment.” American Economic Review, 80 (1990), 465479.Google Scholar
Sias, R.Price Pressure and the Role of Institutional Traders in Closed-End Funds.” Journal of Financial Research, 20 (1997), 211229.CrossRefGoogle Scholar
Spiegel, M., and Subrahmanyam, A.. “On Intraday Risk Premia.” Journal of Finance, 50 (1995), 319339.CrossRefGoogle Scholar
Stoll, H.The Supply of Dealer Services in Securities Markets.” Journal of Finance, 33 (1978), 11331151.CrossRefGoogle Scholar