Hostname: page-component-78c5997874-4rdpn Total loading time: 0 Render date: 2024-11-15T06:26:28.076Z Has data issue: false hasContentIssue false

Clean Sweep: Informed Trading through Intermarket Sweep Orders

Published online by Cambridge University Press:  18 January 2012

Sugato Chakravarty
Affiliation:
College of Health and Human Sciences, Purdue University, 812 W State St, West Lafayette, IN 47906. sugato@purdue.edu
Pankaj Jain
Affiliation:
Fogelman College of Business and Economics, University of Memphis, 3675 Central Ave, Memphis, TN 38152. pankaj.jain@memphis.edu, rawood@pobox.com
James Upson
Affiliation:
College of Business, University of Texas at El Paso, 500 W University Ave, El Paso, TX 79968. jeupson@utep.edu
Robert Wood
Affiliation:
Fogelman College of Business and Economics, University of Memphis, 3675 Central Ave, Memphis, TN 38152. pankaj.jain@memphis.edu, rawood@pobox.com

Abstract

An intermarket sweep order (ISO) is a limit order that automatically executes in a designated market center even if another market center is publishing a better quotation. An investor submitting an ISO must satisfy order protection rules by concurrently submitting orders to the markets with better prices. We find that ISOs represent 46% of trades and 41% of volume in our sample. ISO trades have a significantly larger information share despite their small trade size relative to non-ISO trades. Post trade return analysis suggests that informed institutions are the main users of ISO trades.

Type
Research Articles
Copyright
Copyright © Michael G. Foster School of Business, University of Washington 2012

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

Alexander, G. J., and Peterson, M. A.. “An Analysis of Trade-Size Clustering and Its Relation to Stealth Trading.” Journal of Financial Economics, 84 (2007), 435471.Google Scholar
Anand, A., and Chakravarty, S.. “Stealth Trading in Options Markets.” Journal of Financial and Quantitative Analysis, 42 (2007), 167188.CrossRefGoogle Scholar
Back, K., and Baruch, S.. “Working Orders in Limit Order Markets and Floor Exchanges.” Journal of Finance, 62 (2007), 15891621.CrossRefGoogle Scholar
Barclay, M. J., and Warner, J. B.. “Stealth Trading and Volatility: Which Trades Move Prices?Journal of Financial Economics, 34 (1993), 281305.CrossRefGoogle Scholar
Bessembinder, H.Issues in Assessing Trade Execution Costs.” Journal of Financial Markets, 6 (2003a), 233257.CrossRefGoogle Scholar
Bessembinder, H.Quote-Based Competition and Trade Execution Costs in NYSE-Listed Stocks.” Journal of Financial Economics, 70 (2003b), 385422.CrossRefGoogle Scholar
Blau, B. M.; Van Ness, B. F.; and Van Ness, R. A.. “Intraday Stealth Trading: Which Trades Move Prices During Periods of High Volume.” Journal of Financial Research, 32 (2009), 121.CrossRefGoogle Scholar
Chakravarty, S.Stealth-Trading: Which Traders’ Trades Move Stock Prices?Journal of Financial Economics, 61 (2001), 289307.CrossRefGoogle Scholar
Chakravarty, S.; Gulen, H.; and Mayhew, S.. “Informed Trading in Stock and Option Markets.” Journal of Finance, 59 (2004), 12351257.CrossRefGoogle Scholar
Chakravarty, S., and Holden, C. W.. “An Integrated Model of Market and Limit Orders.” Journal of Financial Intermediation, 4 (1995), 213241.CrossRefGoogle Scholar
Chan, K.; Chung, Y. P.; and Johnson, H.. “The Intraday Behavior of Bid-Ask Spreads for NYSE Stocks and CBOE Options.” Journal of Financial and Quantitative Analysis, 30 (1995), 329346.CrossRefGoogle Scholar
Easley, D., and O’Hara, M.. “Price, Trade Size, and Information in Securities Markets.” Journal of Financial Economics, 19 (1987), 6990.CrossRefGoogle Scholar
Ellis, K.; Michaely, R.; and O’Hara, M.. “The Accuracy of Trade Classification Rules: Evidence from Nasdaq.” Journal of Financial and Quantitative Analysis, 35 (2000), 529551.CrossRefGoogle Scholar
Foster, F. D., and Viswanathan, S.. “A Theory of the Intraday Variations in Volume, Variance and Trading Costs in Securities Markets.” Review of Financial Studies, 3 (1990), 583624.CrossRefGoogle Scholar
Goldstein, M. A.; Shkilko, A. V.; Van Ness, B. F.; and Van Ness, R. A.. “Competition in the Market for NASDAQ Securities.” Journal of Financial Markets, 11 (2008), 113143.CrossRefGoogle Scholar
Hasbrouck, J.One Security, Many Markets: Determining the Contributions to Price Discovery.” Journal of Finance, 50 (1995), 11751199.CrossRefGoogle Scholar
Hasbrouck, J.Intraday Price Formation in U.S. Equity Index Markets.” Journal of Finance, 58 (2003), 23752399.CrossRefGoogle Scholar
He, C.; Odders-White, E.; and Ready, M. J.. “The Impact of Preferencing on Execution Quality.” Journal of Financial Markets, 9 (2006), 246273.CrossRefGoogle Scholar
Kyle, A. S. “Continuous Auctions and Insider Trading.” Econometrica, 53 (1985), 13151335.CrossRefGoogle Scholar
Madhavan, A.; Richardson, M.; and Roomans, M.. “Why Do Security Prices Change? A Transaction-Level Analysis of NYSE Stocks.” Review of Financial Studies, 10 (1997), 10351064.CrossRefGoogle Scholar
McInish, T. H., and Wood, R. A.. “An Analysis of Intraday Patterns in Bid/Ask Spreads for NYSE Stocks.” Journal of Finance, 47 (1992), 753764.CrossRefGoogle Scholar
Seppi, D. J. “Equilibrium Block Trading and Asymmetric Information.” Journal of Finance, 45 (1990), 7394.CrossRefGoogle Scholar