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Order Dynamics: Recent Evidence from the NYSEAndrew EllulIndiana University Bloomington - Department of Finance Pankaj K. JainUniversity of Memphis - Fogelman College of Business and Economics Craig W. HoldenIndiana University Bloomington - Department of Finance Robert H. JenningsIndiana University Bloomington - Kelley School of Business January 2007 EFA 2003 Annual Conference Paper No. 836 Abstract: Abstract: We examine investor order choices using evidence from a recent period when the NYSE trades in decimals and allows automatic executions. We analyze the decision to submit or cancel an order or to take no action. For submitted orders, we distinguish order type (market vs. limit), order side (buy vs. sell), execution method (auction vs. automatic), and pricing aggressiveness. We find that the NYSE exhibits positive serial correlation in order type on an order-by-order basis, which suggests that follow-on order strategies dominate adverse selection or liquidity considerations at a moment in time. Aggregated levels of order flow also exhibit positive serial correlation in order type, but appear to be non-stationary processes. Overall, changes in aggregated order flow have an order-type serial correlation that is close to zero at short aggregation intervals, but becomes increasingly negative at longer intervals. This implies a liquidity exhaustion-replenishment cycle. We find that small orders routed to the NYSE's floor auction process are sensitive to the quoted spread, but that small orders routed to the automatic execution system are not. Thus, in addition to foregoing price improvement, traders selecting the speed of automatic executions on the NYSE do so with little regard for the quoted cost of immediacy. As quoted depth increases, traders respond by competing on price via limit orders that undercut existing bid and ask prices. Limit orders are more likely and market sells are less likely late in the trading day. These results are helpful in understanding the order arrival process at the NYSE and have potential applications in academics and industry for optimizing order submission strategies.
Number of Pages in PDF File: 40 Keywords: Order choice, limit order, market order, automatic execution JEL Classification: G10 working papers seriesDate posted: August 7, 2003Suggested CitationContact Information
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