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Correlated Order Flow: Pervasiveness, Sources, and Pricing Effects

Published online by Cambridge University Press:  06 April 2009

Jarrad Harford  and
Aditya Kaul
Jarrad Harford
Affiliation:
[email protected], School of Business Administration, Box 353200, University of Washington, Seattle, WA 98195
Aditya Kaul
Affiliation:
[email protected], School of Business, University of Alberta, Edmonton, AB T6G 2R6, Canada.
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Abstract

We examine the importance of indexing, industry, and broad market forces in driving common effects in order flow, returns, and trading costs. Common effects are strong for order flow and returns in a sample of S&P 500 stocks, but are weak in a sample of non-index stocks and for trading costs in both samples. Industry and broad market effects exist in order flow for both samples, but indexing effects are dominant. Correlated order flow drives common effects in returns and, to a lesser extent, those in trading costs. An event study of the effect of index addition on order flow and return comovement reinforces these conclusions. Our results show that common effects are not pervasive and have implications for diversification strategies and price formation models.

Type
Research Article
Information
Journal of Financial and Quantitative Analysis , Volume 40 , Issue 1 , March 2005 , pp. 29 - 55
Copyright
Copyright © School of Business Administration, University of Washington 2005

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References

Admati, A. “A Noisy Rational Expectations Equilibrium for Multi-Asset Securities.” Econometrica, 53 (1985), 629–658.CrossRefGoogle Scholar
Admati, A., and Pfleiderer, P. “A Theory of Intraday Patterns: Volume and Price Variability.” Review of Financial Studies, 1 (1988), 3–40.CrossRefGoogle Scholar
Barberis, N.; Shleifer, A.; and Wurgler, J. “Comovement.” Working Paper, Harvard, Chicago, NYU (2003).Google Scholar
Caballe, J., and Krishnan, M. “Imperfect Competition in a Multi-Security Market with Risk Neutrality.” Econometrica, 62 (1994), 695–704.CrossRefGoogle Scholar
Chordia, T.; Roll, R.; and Subrahmanyam, A. “Commonality in Liquidity.” Journal of Financial Economics, 56 (2000), 29–64.CrossRefGoogle Scholar
Chordia, T.; Roll, R.; and Subrahmanyam, A. “Order Imbalance, Liquidity and Market Returns.” Journal of Financial Economics, 65 (2002), 111–130.CrossRefGoogle Scholar
Domowitz, I., and Wang, X. “Liquidity, Liquidity Commonality and Its Impact on Portfolio Theory.” Working Paper, Penn State (2002).CrossRefGoogle Scholar
Easley, D.; O'Hara, M.; and Srinivas, P. S. “Option Volume and Stock Prices: Evidence on where Informed Traders Trade.” Journal of Finance, 53 (1998), 431–465.CrossRefGoogle Scholar
Edelen, R. “Investor Flows and the Assessed Performance of Open-End Mutual Funds.” Journal of Financial Economics, 53 (1999), 439–466.CrossRefGoogle Scholar
Edelen, R., and Warner, J. “Aggregate Price Effects of Institutional Trading: A Study of Mutual Fund Flow and Market Returns.” Journal of Financial Economics, 59 (2001), 195–220.CrossRefGoogle 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), 71–100.CrossRefGoogle Scholar
Hasbrouck, J. “Measuring the Information Content of Stock Trades.” Journal of Finance, 46 (1991), 179–207.CrossRefGoogle Scholar
Hasbrouck, J. “Order Characteristics and Stock Price Evolution: An Application to Program Trading.” Journal of Financial Economics, 41 (1996), 129–149.CrossRefGoogle Scholar
Hasbrouck, J., and Seppi, D. “Common Factors in Prices, Order Flows and Liquidity.” Journal of Financial Economics, 59 (2001), 383–411.CrossRefGoogle Scholar
Huberman, G., and Halka, D. “Systematic Liquidity.” Journal of Financial Research, 24 (2001), 161–178.CrossRefGoogle Scholar
Kumar, P., and Seppi, D. “Information and Index Arbitrage.” Journal of Business, 67 (1994), 481–509.CrossRefGoogle Scholar
Lee, C., and Ready, M. “Inferring Trade Direction from Intraday Data.” Journal of Finance, 46 (1991), 733–746.CrossRefGoogle Scholar
Lewellen, J. “Momentum and Autocorrelation in Stock Returns.” Review of Financial Studies, 15 (2002), 533–563.CrossRefGoogle Scholar
Lo, A., and Wang, J. “Trading Volume: Definitions, Data Analysis and Implications of Portfolio Theory.” Review of Financial Studies, 13 (2000), 257–300.CrossRefGoogle Scholar
Moskowitz, T., and Grinblatt, M. “Do Industries Explain Momentum?” Journal of Finance, 54 (1999), 1249–1290.CrossRefGoogle Scholar
O'Hara, M. “Presidential Address: Liquidity and Price Discovery.” Journal of Finance, 58 (2003), 1335–1354.CrossRefGoogle Scholar
Subrahmanyam, A. “A Theory of Trading in Stock Index Futures.” Review of Financial Studies, 4 (1991), 17–51.CrossRefGoogle Scholar
Tkac, P. “A Trading Volume Benchmark: Theory and Evidence.” Journal of Financial and Quantitative Analysis, 34 (1999), 89–114.CrossRefGoogle Scholar